INVESTIGACIÓN

PUBLICACIONES

En esta sección encontrarás información y enlaces a las publicaciones realizadas por nuestro grupo de investigación, en revistas, congresos y editoriales.

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2021
Biosignals analysis (heart, phonatory system and muscles)
Rita Q. Fuentes-Aguilar, Humberto Pérez-Espinosa, María Aurora Filigrana de la Cruz.
Capítulo de libro
2021
LIGA
Capítulo de libro: Biosignal processing and classification using comp
Prólogo

Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of four relevant parts. Part One is an introduction to biosignals and their processing. Part Two presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described along with the hybrid systems, which are the resulting combinations of these techniques. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications in which these techniques have been successfully applied to the biosignals' domain, including EEG-based Brain-Computer Interfaces (BCI), emotion recognition from voice, leukemia recognition, infant cry recognition, epilepsy diagnosis from EEG, and automatic smell recognition.

Biosignals analysis (heart, phonatory system and muscles)
Rita Q. Fuentes-Aguilar, Humberto Pérez-Espinosa, María Aurora Filigrana de la Cruz.
Capítulo de libro
Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty
Yoan Martínez-López, Ansel Y. Rodríguez-González, Julio Madera, Miguel Bethencourt Mayedo, Fernando Lezama
Revista
2021
LIGA
Revista: Engineering Applications of Artificial Intelligence
Resumen

The Energy Resource Management (ERM) can be modeled as a Mixed-Integer Non-Linear Problem whose aim is to maximize profits generally using smart grid capabilities more than importing energy from external markets. Due to this, many resources and customers are involved in optimization, making ERM a complex problem. Moreover, when the inherent uncertainty of weather conditions, load forecast, electric vehicles planned trips, or market prices is considered, deterministic approaches might fail in obtaining optimal solutions to the problem. In this context, evolutionary algorithms are a useful tool to find effective near-optimal solutions. In fact, to design and test evolutionary algorithms to solve the ERM problem under uncertainty, the research community has developed a simulation framework. In this paper, we propose the Cellular Univariate Marginal Distribution Algorithm with Normal-Cauchy distribution (CUMDANCauchy) to address the ERM problem in uncertain environments. CUMDANCauchy uses a univariate estimation of the product of Normal and Cauchy distributions over each feature, and produces new individuals not only by the sampling of the learned distributions but also using neighborhoods of individuals from a ring cellular structure. The experiments performed over two case studies show that: CUMDANCauchy is as competitive as the previous dominant class of algorithms in terms of the global fitness achieved; its convergence behavior is among the best in comparison with the other tested algorithms; its running time is similar to the algorithm with the best global fitness achieved in the first case study, and it is the fastest algorithm in the second one.

Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty
Yoan Martínez-López, Ansel Y. Rodríguez-González, Julio Madera, Miguel Bethencourt Mayedo, Fernando Lezama
Revista
Emotion recognition: from Voice and Facial Expressions
Humberto Pérez-Espinosa, Ramón Zatarain Cabada, María Lucia Barrón-Estrada
Capítulo de libro
2021
LIGA
Capítulo de libro: Biosignal processing and classification using comp
Prólogo

Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of four relevant parts. Part One is an introduction to biosignals and their processing. Part Two presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described along with the hybrid systems, which are the resulting combinations of these techniques. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications in which these techniques have been successfully applied to the biosignals' domain, including EEG-based Brain-Computer Interfaces (BCI), emotion recognition from voice, leukemia recognition, infant cry recognition, epilepsy diagnosis from EEG, and automatic smell recognition.

Emotion recognition: from Voice and Facial Expressions
Humberto Pérez-Espinosa, Ramón Zatarain Cabada, María Lucia Barrón-Estrada
Capítulo de libro
Heterogeneity in COVID-19 severity patterns among age-gender groups: an analysis of 778 692 Mexican patients through a meta-clustering technique
Lexin Zhou, Nekane Romero, Juan Martínez-Miranda, J. Alberto Conejero, Juan M. García-Gómez, Carlos Sáez
Revista
2021
LIGA
Revista: Bulletin of the World Health Organization

Objective To describe COVID-19 subphenotypes regarding severity patterns including prognostic, ICU and morbimortality outcomes, through stratification based on gender and age groups, as described by inter-patient variability patterns in clinical phenotypes and demographic features.


Materials and methods We used the COVID-19 open data from the Mexican Government including patient-level epidemiological and clinical data from 778 692 SARS-CoV-2 patients from January 13, 2020 to September 30, 2020.
Inter-patient variability was analyzed by combining dimensionality reduction and hierarchical clustering methods. We produced cluster analyses for all combinations of gender and age groups (<18, 18-49, 50-64, and >64). For each group, the optimum number of clusters was selected combining a quantitative approach using the Silhouette coefficient, and a qualitative approach through a subgroup expert inspection via visual analytics. Using the features of the resultant age-gender clusters, we performed a meta-clustering analysis to provide an overall description of the population.

Results We observed a total of 56 age-gender clusters, grouped in 11 clinically distinguishable meta-clusters with different outcomes. Meta-clusters 1 to 3 showed the highest recovery rates (90.27-95.22%). These clusters include: (1) healthy patients of all ages, (2) children with comorbidities who had priority in medical resources, (3) young patients with obesity and smoking habit. Meta-clusters 4 and 5 showed moderate recovery rates (81.3-82.81%): (4) patients with hypertension or diabetes of all ages, (5) typical obese patients with three highly correlated conditions, namely, pneumonia, hypertension and diabetes. Meta-clusters 6 to 11 had very low recovery rates (53.96-66.94%) which include: (6) immunosuppressed patients with the highest comorbidity rate in many diseases, (7) CKD patients with the worse survival length and recovery, (8) elderly smoker with mild COPD, (9) severe diabetic elderly with hypertension, (10, 11) oldest obese smokers with severe COPD and mild cardiovascular disease with the latter (11) showing a relatively higher age and smoke rate, severe COPD and shorter survival length, reinforcing a high correlation between smoking habit and COPD among elderly. Additionally, the source Mexican state and type of clinical institution proved to be an important factor for heterogeneity in severity.


Discussion The proposed unsupervised learning approach successfully uncovered discriminative COVID-19 severity patterns for both genders and all age groups from clinical phenotypes and demographic features. A careful read of group outcomes showed consistent results regarding recent literature. Regarding the Mexican population, our results suggest that habits and comorbidities may play a key role in predicting mortality in older patients. Centenarians tended to fall in the groups with better outcomes repeatedly. Additionally, immunosuppression was not found as a relevant factor for severity alone but did when present along with chronic kidney disease. Further useful correlations could be found by evaluating the duration of unhealthy habits, demographic features, comorbidities, the time since diagnosis, recovery progress, readmission record, and the effect of source variability.


Conclusion
The resultant eleven meta-clusters provide bases to comprehend the classification of patients with COVID-19 based on comorbidities, habits, demographic characteristics, geographic data and type of clinical institutions, as well as revealing the correlations between the above characteristics thereby help to anticipate the possible clinical outcomes for every specifically characterized patient. These subphenotypes can establish target groups for automated stratification or triage systems to provide personalized therapies or treatments.

Heterogeneity in COVID-19 severity patterns among age-gender groups: an analysis of 778 692 Mexican patients through a meta-clustering technique
Lexin Zhou, Nekane Romero, Juan Martínez-Miranda, J. Alberto Conejero, Juan M. García-Gómez, Carlos Sáez
Revista
Semi-supervised anomaly detection algorithms a comparative summary and future research directions
Miryam Elizabeth Villa-Pérez, Miguel Á. Álvarez-Carmona, Octavio Loyola-González, Miguel Angel Medina-Pérez, Juan Carlos Velazco-Rossell, Kim-Kwang Raymond Choo
Revista
2021
LIGA
Revista: Knowledge-Based Systems
Resumen

While anomaly detection is relatively well-studied, it remains a topic of ongoing interest and challenge, as our society becomes increasingly interconnected and digitalized. In this paper, we focus on existing anomaly detection approaches, by empirically studying the performance of 29 semi-supervised anomaly detection algorithms on 95 benchmark imbalanced databases from the KEEL repository. These include well-established and commonly used classifiers (e.g., One-Class Support Vector Machine (ocSVM) and Isolation Forest) and recent proposals (e.g., BRM and XGBOD). Findings from our in-depth empirical study show that BRM is a robust classifier, in terms of achieving better classification results than the other 28 state-of-the-art techniques on diverse anomaly detection problems. We also observe that OCKRA, Isolation Forest, and ocSVM achieve good performance overall AUC, but poor classification results on databases where the number of objects is equal or greater than 1,460, all features are nominal, or the imbalance ratio is equal or greater than 39.14.

Semi-supervised anomaly detection algorithms a comparative summary and future research directions
Miryam Elizabeth Villa-Pérez, Miguel Á. Álvarez-Carmona, Octavio Loyola-González, Miguel Angel Medina-Pérez, Juan Carlos Velazco-Rossell, Kim-Kwang Raymond Choo
Revista
2020
¿Y si los mexicanos le hacemos un hack a la pandemia?
A.Y. Rodríguez, H. Pérez-Espinosa, A. Campos Martínez, C.A. Estrada González, K. Reyes Gastélum
Revista
2020
LIGA
Revista: Komputer Sapiens
Resumen

Era marzo de 2020, se acrecentaba en las ciudades la ebullición de ideas y, muy especialmente, de profesionales y estudiantes, decididos a contribuir y aportar
soluciones innovadoras que impactaran en las problemáticas ocasionadas por la propagación del COVID-19 en el país. En este contexto nació la iniciativa México
Hackea la Pandemia buscando que a través de equipos interdisciplinarios se desarrollaran e implantaran, de forma acelerada, estrategias y soluciones tecnológicas para mitigar el efecto de la pandemia. En este artículo se presenta la evolución de esta iniciativa, desde su origen, su 1ra fase Hackaton: Podemos hackear la pandemia
que duró 72 horas y en donde se inscribieron 26 equipos, su 2da fase Reto: Un mes en casa me basta con una duración de 28 días, hasta sus resultados, haciendo énfasis en las soluciones logradas y la pertinencia de incluir inteligencia artificial en las mismas.

¿Y si los mexicanos le hacemos un hack a la pandemia?
A.Y. Rodríguez, H. Pérez-Espinosa, A. Campos Martínez, C.A. Estrada González, K. Reyes Gastélum
Revista
A PSO-based algorithm for mining association rules using a guided exploration strategy
GretelBernal Baró, José FranciscoMartínez-Trinidad, Rosa MaríaValdovinos Rosas, Jesús A.Carrasco Ochoa, Ansel Y.Rodríguez González, Manuel S.Lazo Cortés
Revista
2020
LIGA
Revista: Pattern Recognition Letters
Resumen

Association rule mining is one of the most important and active research
areas in data mining. In the literature, several association rule
miners have been proposed; among them, those based on particle swarm
optimization (PSO) have reported the best results. However, these
algorithms tend to prematurely fall into local solutions, avoiding a
wide exploration that could produce even better results. In this paper,
an algorithm based on PSO, called PSO-GES, for mining association rules
using a Guided Exploration Strategy is introduced. Our experiments, over
real-world transactional databases, show that our proposed algorithm
mines better quality association rules than the most recent PSO-based
algorithms for mining association rules of the state of the art.

A PSO-based algorithm for mining association rules using a guided exploration strategy
GretelBernal Baró, José FranciscoMartínez-Trinidad, Rosa MaríaValdovinos Rosas, Jesús A.Carrasco Ochoa, Ansel Y.Rodríguez González, Manuel S.Lazo Cortés
Revista
Applying Some EDAs and Hybrid Variants to the ERM Problem Under Uncertainty
Martínez López Yoan, Rodríguez González Ansel Y., Madera Julio, Bethencourt Mayedo Miguel, Moya Alexis, O. Martínez Santiago
Congreso
2020
LIGA
Congreso: 2020 Genetic and Evolutionary Computation Conference GECCO 2020
Resumen

The Energy Resource Management (ERM) under uncertainty of a smartgrid is a highly complex problem (a Mixed Integer Non-Linear Problem) with the objective of maximizing profits by reducing the need to buy energy from the day-ahead market or external suppliers at high prices. In this paper, some approaches of Hybrid Estimation of Distribution Algorithm were implemented to solve the ERM Problem Under Uncertainty. Also, using the WCCI/GECCO 2020 ERM competition framework, a comparison amongst the variants implemented, the framework baseline algorithm, and the algorithms of the previous competitions, was done. The experimental results showed that these EDAs and hybrid methodologies are good tools to solve the ERM problem under uncertainty.

Applying Some EDAs and Hybrid Variants to the ERM Problem Under Uncertainty
Martínez López Yoan, Rodríguez González Ansel Y., Madera Julio, Bethencourt Mayedo Miguel, Moya Alexis, O. Martínez Santiago
Congreso
Author Profiling in Social Media with Multimodal Information
Álvarez-Carmona M. A., Villatoro-Tello E, Montes-y-Gómez M., & Vilaseñor-Pineda L.
Revista
2020
LIGA
Revista: Computación y sistemas
Resumen

This paper summarizes the thesis: "Author Profiling in Social Media with Multimodal Information." Our solution uses a multimodal approach to extracting information from written messages and images shared by users. Previous work has shown the existence of useful information for this task in these modalities; however, our proposal goes further, demonstrating the complementarity of the modalities when merging these two sources of information. To do this, we propose to transform images to texts, and with them, to have the same framework of representation for both kinds of information, which allow to achieve their fusion. Our work explores different methods for extracting information either from the text and the images. To represent the extracted information, different distributional term representations approaches were explored in order to identify the topics addressed by the user. For this purpose, an evaluation framework was proposed in order to identify the most appropriate method for this task. The results show that the textual descriptions of the images contain useful information for the author profiling task, and that the fusion of textual information with information extracted from the images increases the accuracy of this task.

Author Profiling in Social Media with Multimodal Information
Álvarez-Carmona M. A., Villatoro-Tello E, Montes-y-Gómez M., & Vilaseñor-Pineda L.
Revista
Cellular Estimation Bayesian Algorithm for Discrete Optimization Problems
Martínez López Yoan, Madera Julio, Mahdi G.S.S , Rodríguez González Ansel Y.
Revista
2020
LIGA
Revista: Investigación Operacional
Resumen

In this paper, a new Cellular Estimation Bayesian Algorithm for discrete optimization problems is presented. This class of stochastic optimization algorithm with learning from the structure and parameters of local populations are based on independence test and decentralized populations scheme, which can reduce the number of function evaluations solving for discrete optimization problems. The experimental results showed that this proposal reduces the number of evaluations in the search of the optimal for a benchmark discrete function with respect to other approaches of the literature. Also, it achieved better performance than them.

Cellular Estimation Bayesian Algorithm for Discrete Optimization Problems
Martínez López Yoan, Madera Julio, Mahdi G.S.S , Rodríguez González Ansel Y.
Revista
COLDPower: el agente inteligente mexicano de mercadeo de energía
Rodríguez-González Ansel Y. , Morales Eduardo F., Sucar Luis Enrique
Revista
2020
LIGA
PDF
Revista: Komputer Sapiens
Resumen

En este artículo se presenta a COLDPower: el agente inteligente mexicano de mercadeo de energía, que en diferentes versiones ha competido en el torneo anual PowerTAC desde 2013. Se describe su arquitectura general, los agentes expertos en diferentes mercados y tipos de clientes que lo componen y cómo estos agentes aprenden. El 2do lugar alcanzado en el torneo PowerTAC 2016, y las ganancias obtenidas en las diferentes ediciones del torneo, validan la rentabilidad de COLDPower y la pertinencia del aprendizaje por refuerzo y del uso de múltiples agentes.

COLDPower: el agente inteligente mexicano de mercadeo de energía
Rodríguez-González Ansel Y. , Morales Eduardo F., Sucar Luis Enrique
Revista
FatCombat: A Health Video Game for Education and Promotion of the Recommended Fat Intake among Children
Ismael Edrein Espinosa-Curiel, Edgar Pozas-Bogarin, Janeth Aguilar-Partida, Maryleidi Hernández-Arvizu, Edwin Emeth Delgado-Pérez
Congreso
2020
LIGA
Congreso: ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions
Resumen

Overweight and obesity are frequently assumed to be the result of an energy imbalance caused by an excess in calories and fat intake. To help children learn about the different types of fat and their intake recommendations, we developed the health video game FatCombat (FC). In this game, players go inside the bodies of children to help them eat healthily respecting fat intake recommendations. As a result of their actions, the heart can stay healthy and generate a constant flow of blood to the children's bodies. FC is based on knowledge of fat intake and integrates a set of behavior change techniques related to cognitive and behavioral theories used in children's health interventions. In this paper, we describe the design process for FC and report the results of a pilot study to evaluate the effect of FC on the knowledge children have of fat and to evaluate the user experience of FC players. Players of FC improved their knowledge of fats and the game provided high levels enjoyment.

FatCombat: A Health Video Game for Education and Promotion of the Recommended Fat Intake among Children
Ismael Edrein Espinosa-Curiel, Edgar Pozas-Bogarin, Janeth Aguilar-Partida, Maryleidi Hernández-Arvizu, Edwin Emeth Delgado-Pérez
Congreso
ITCG's Participation At MEX-A3T 2020: Aggressive Identification and Fake News Detection Based on Textual Features for Mexican Spanish
Zaizar-Gutiérrez. D., Fajardo-Delgado D. & Álvarez-Carmona M. A.
Revista
2020
LIGA
Revista: IberLEF: Iberian Languages Evaluation Forum
Resumen

This paper explains our approach to Aggressiveness Identification and Fake News Classification in the 2020 MEX-A3T shared task. The tasks propose a binary classification for both tasks (aggressive and nonaggressive or fake news and non-fake news). We approached the problem using simple basic methods of features selection and terms weighing. We trained with a set of machine learning algorithms. Our
best run for aggressiveness identification achieved an accuracy of 0.81, where the best result obtained 0.88. On the other hand, for the aggressiveness identification, our accuracy result was 0.78, where the best result was 0.85.

ITCG's Participation At MEX-A3T 2020: Aggressive Identification and Fake News Detection Based on Textual Features for Mexican Spanish
Zaizar-Gutiérrez. D., Fajardo-Delgado D. & Álvarez-Carmona M. A.
Revista
La Alianza de Inteligencia Artificial de CONACYT, impulsa redes de investigación para enfrentar el COVID-19
Álvarez-Carmona M. A., Cruz Sandoval D., Favela J., González Trejo J. A., López Monroy A. P., Martínez-Miranda J., Mercado Ravell D. A., Morales E. F., Ovando-Vázquez C., Pérez-Espinosa H., Rivera M., Sánchez-Bravo I., Sucar L. E., Trejo S.
Revista
2020
LIGA
Revista: Komputer Sapiens
Resumen

La Alianza en Inteligencia Artificial (AIA) del Consejo Nacional de Ciencia y Tecnología (CONACYT) fue creada en agosto de 2018 como una entidad de colaboración
interinstitucional, orientada a fomentar mejoras concretas en la teoría y aplicación de la inteligencia artificial (IA) en México. Para lograr sus objetivos, la AIA implementa modelos innovadores que incorporan: investigación, formación de recursos humanos de alto nivel y transferencia de conocimiento.

La Alianza de Inteligencia Artificial de CONACYT, impulsa redes de investigación para enfrentar el COVID-19
Álvarez-Carmona M. A., Cruz Sandoval D., Favela J., González Trejo J. A., López Monroy A. P., Martínez-Miranda J., Mercado Ravell D. A., Morales E. F., Ovando-Vázquez C., Pérez-Espinosa H., Rivera M., Sánchez-Bravo I., Sucar L. E., Trejo S.
Revista
Nutritional Education and Promotion of Healthy Eating Behaviors Among Mexican Children Through Video Games: Design and Pilot Test of FoodRateMaster
Espinosa-Curiel IE, Pozas-Bogarin EE, Lozano-Salas JL, Martínez-Miranda J, Delgado-Pérez EE, Estrada-Zamarron LS
Revista
2020
LIGA
Revista: JMIR Serious Game
Resumen

Background:Childhood obesity has risen dramatically in recent decades, reaching epidemic levels. Children need guidance on and support for maintaining a healthy diet and physical activity to ensure that they grow appropriately and develop healthy eating habits. Serious video games have shown positive effects on promoting the nutritional knowledge, and eating attitudes and behaviors of children; however, research about the usefulness of such games with younger children (8-10 years old) is sparse.

Objective:The objective of this study was to design and test the serious video game FoodRateMaster targeting children between 8 and 10 years old. The game includes nutritional information and behavior change techniques to help children improve their knowledge of healthy and unhealthy foods, increase their intake of healthy food, and reduce their intake of ultraprocessed food. In addition, FoodRateMaster was designed as an active game to promote physical activity.

Methods:An interdisciplinary team developed FoodRateMaster following an iterative methodology based on a user-centered design. A total of 60 participants (mean age 9 years, SD 0.8; 53% male) completed 12 individual gaming sessions in 6 weeks. A food knowledge questionnaire and a food frequency questionnaire were completed before and after game play. In addition, 39 of the participants' parents answered a parent perception questionnaire after the game play.

Results:Participants showed increased food knowledge from pregame (mean 56.9, SD 10.7) to postgame play (mean 67.8, SD 10.7; P<.001). In addition, there was a greater self-reported frequency in the consumption of cauliflower and broccoli (P<.001) and corn quesadillas (P<.001). They also indicated a lower self-reported intake of 10 unhealthy foods, including french fries (P=.003), candy and chocolate (P<.001), sweet soft cakes (P=.009), and soft drinks (P=.03). Moreover, most of the parents who answered the parent perception questionnaire agreed that their children showed greater interest in explaining why they should avoid some unhealthy foods (67%, 26/39), in distinguishing between healthy and unhealthy foods (64%, 25/39), and in the intake of fruits (64%, 25/39) and vegetables (59%, 23/39). Finally, 14 parents stated that they introduced some changes in their children's diet based on the comments and suggestions they received from their children.

Conclusions:In an initial evaluation, children between 8 and 10 years old indicated an increased level in nutritional knowledge and their self-reported frequency intake of two healthy foods, and a decreased level in their self-reported intake of 10 unhealthy foods after playing FoodRateMaster. Moreover, the participants' parents agreed that FoodRateMaster positively influenced their children's attitudes toward several healthy eating behaviors. These results support that health games such as FoodRateMaster are viable tools to help young children increase their food knowledge and improve dietary behaviors. A follow-up randomized controlled trial will be conducted to assess the medium- and long-term effects of FoodRateMaster.

Nutritional Education and Promotion of Healthy Eating Behaviors Among Mexican Children Through Video Games: Design and Pilot Test of FoodRateMaster
Espinosa-Curiel IE, Pozas-Bogarin EE, Lozano-Salas JL, Martínez-Miranda J, Delgado-Pérez EE, Estrada-Zamarron LS
Revista
Operational Research Application to Resources Distribution Related to the COVID-19 in Cuba
Yoan Martínez-López, Hilda Oquendo, Yaile Caballero, Luis Eduardo Guerra-Rodríguez, Raudel Junco-Villegas, Isnel Benítez, Ansel Rodríguez, Julio Madera
Revista
2020
LIGA
Revista: Retos de la Dirección
Resumen

Objetivo: Aplicar el modelo de enrutamiento de vehículos combinado con algoritmos de optimización para la toma de decisiones en la distribución de insumos relacionados con el servicio asistencial a pacientes hospitalizados y sospechosos de la COVID-19 en Camagüey, Cuba.

Métodos: Se utilizaron los problemas de enrutamiento de vehículos heterogéneos con ventanas de tiempo, en combinación con algoritmos de optimización para solucionar la distribución de estos recursos.

Principales resultados: Se experimentó con un total de 15 modelos para el estudio del comportamiento de los algoritmos aplicados al problema, donde se utilizó la biblioteca CVRP, implementada en Matlab. Se implementaron tres de metaheurísticas: EDA, SA, VNS. A partir de la información modelada se procedió a la solución del problema FSMVRPTW a través de algoritmos EDA y VNS, utilizado este último por contar con una implementación de código abierto en Excel.

Conclusiones: Los estudios acerca del problema de enrutamiento de vehículos han demostrado su utilidad en diferentes situaciones complejas, como las pandemias, para optimizar la distribución de recursos. En tiempos de COVID-19, contar con una organización del transporte óptima para distribuir los recursos médicos, es una herramienta vital para la toma de decisiones en la provincia Camagüey, extensible a toda Cuba.

Operational Research Application to Resources Distribution Related to the COVID-19 in Cuba
Yoan Martínez-López, Hilda Oquendo, Yaile Caballero, Luis Eduardo Guerra-Rodríguez, Raudel Junco-Villegas, Isnel Benítez, Ansel Rodríguez, Julio Madera
Revista
Relationship Between Children’s Enjoyment, User Experience Satisfaction, and Learning in a Serious Video Game for Nutrition Education: Empirical Pilot Study
Espinosa-Curiel IE, Pozas-Bogarin EE, Martínez-Miranda J, Pérez-Espinosa H
Revista
2020
LIGA
Revista: JMIR Serious Game
Resumen

Background:The design and use of serious video games for children have increased in recent years. To maximize the effects of these games, it is essential to understand the children's experiences through playing. Previous studies identified that enjoyment and user experience satisfaction of the players are principal factors that can influence the success of serious video games and the learning of their players. However, research about the relationship between enjoyment and user experience satisfaction with learning in children 8 to 10 years old is sparse.

Objective:We examined the relationship of enjoyment and user experience satisfaction with the learning of children aged 8 to 10 years while playing a serious video game for health, FoodRateMaster. This serious video game teaches children about the characteristics of healthy and unhealthy foods and how to identify them in their environment.

Methods:Children aged 8 to 10 years were recruited from a primary school in Mexico. Participants completed 12 individual gaming sessions with FoodRateMaster in 6 weeks. A food knowledge questionnaire was administered before and after game play to assess the players' food knowledge. In addition, after the gaming sessions, the children's enjoyment and user experience satisfaction were evaluated using the EGameFlow questionnaire and the Game User Experience Satisfaction Scale (GUESS) questionnaire.

Results:We found significant positive associations for children's (n=60) posttest knowledge with enjoyment (r58=0.36, P=.005) and user experience satisfaction (r58=0.27, P=.04). The children's posttest knowledge scores were also positively correlated with challenge (r58=0.38, P=.003), knowledge improvement (r58=0.38, P=.003), and goal clarity (r58=0.29, P=.02) EGameFlow subscales and with narrative (r58=0.35, P=.006), creative freedom (r58=0.26, P=.04), and visual esthetics (r58=0.32, P=.01) GUESS subscales. Regression analysis indicated that the EGameFlow (F7,52=2.74, P=.02, R2=0.27) and the GUESS (F8,51=2.20, P=.04, R2=0.26) ratings significantly predicted the children's posttest knowledge scores. EGameFlow challenge (β=0.40, t52=2.17, P=.04) and knowledge improvement (β=0.29, t52=2.06, P=.04) subscales significantly contributed to predicting children's learning. None of the GUESS subscales significantly contributed to predicting children's learning.

Conclusions:The findings of this study suggest that both enjoyment and user experience satisfaction for children aged 8 to 10 years were positively correlated with their learning and that were significant predictors of it. Challenge, knowledge improvement, narrative, creative freedom, and visual esthetics subscales correlated positively with children's learning. In addition, challenge and knowledge improvement contributed to predicting their learning. These results are relevant to consider during the design stages of serious games developed for young children's learning purposes.

Relationship Between Children’s Enjoyment, User Experience Satisfaction, and Learning in a Serious Video Game for Nutrition Education: Empirical Pilot Study
Espinosa-Curiel IE, Pozas-Bogarin EE, Martínez-Miranda J, Pérez-Espinosa H
Revista
TecNM at MEX-A3T 2020: Fake News and Aggressiveness Analysis in Mexican Spanish.
Arce-Cardenas S., Fajardo-Delgado D. & Álvarez-Carmona M. A.
Revista
2020
LIGA
Revista: IberLEF: Iberian Languages Evaluation Forum
Resumen

This paper describes our participation in the MEX-A3T 2020 for the tasks of identification of aggressiveness and fake news in Mexican Spanish tweets. We evaluate the combination of basic text classification techniques, including six machine learning algorithms, two methods for keyword extractions, and two preprocessing techniques. Our best run showed an F1-macro score of 0.754 for aggressiveness and 0.815 for fake news. Our preliminary results are satisfactory and competitive with other participating teams.

TecNM at MEX-A3T 2020: Fake News and Aggressiveness Analysis in Mexican Spanish.
Arce-Cardenas S., Fajardo-Delgado D. & Álvarez-Carmona M. A.
Revista
Videojuegos: su función en la prevención de la obesidad infantil
Ismael Edrein Espinosa Curiel y Maryleidi Hernández Arvizu
Revista
2020
LIGA
PDF
Revista: Saber más
Resumen

Nada hace más felices a los niños que jugar. ¿Quién no jugó a las escondidas, alcanzadas, o saltar la cuerda? Durante el desarrollo infantil, el juego es una herramienta fundamental para entender y adaptarse al mundo. Jugar enriquece la imaginación, ejercita la atención, la concentración y la memoria, y favorece la sociabilidad y la comunicación.

Videojuegos: su función en la prevención de la obesidad infantil
Ismael Edrein Espinosa Curiel y Maryleidi Hernández Arvizu
Revista
2019
A competitive and profitable multi-agent autonomous broker for energy markets
Rodríguez González Ansel Y., Alonso Miguel Palacios, Lezama Fernando, Rodríguez Lino, Muñoz de Cote Enrique, Morales Eduardo F., Sucar Luis Enrique, Crockett Douglas D.
Revista
2019
LIGA
Revista: Sustainable Cities and Society
Resumen

Free and competitive energy markets are a recent and increasing
phenomenon in several countries. Understanding these new energy markets
and estimating their possible evolutions are current challenges of the
research community. To avoid real market risks, the research community
has developed autonomous traders and tested them in the Power Trading
Agent Competition (Power TAC), a sophisticated energy market simulator.
In this paper, we present COLDPower'16, a competitive autonomous trader
composed of expert agents in specific kinds of markets and customers
that combines local strategies into a global strategy to maximize
profit. The local strategy of each tariff expert agent uses
reinforcement learning algorithms, while the local strategy of the
wholesale expert agent estimates future energy prices and the amount of
energy that can be negotiated to buy energy when prices are low and sell
energy when prices are high. COLDPower'16 was tested in Power TAC 2016.
It achieved 2nd place in the final round of this international
competition with 7 autonomous agent brokers.

A competitive and profitable multi-agent autonomous broker for energy markets
Rodríguez González Ansel Y., Alonso Miguel Palacios, Lezama Fernando, Rodríguez Lino, Muñoz de Cote Enrique, Morales Eduardo F., Sucar Luis Enrique, Crockett Douglas D.
Revista
Assessment of users’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour
Martínez-Miranda Juan, Martínez Ariadna, Ramos Roberto, Aguilar Héctor, Jiménez Liliana, Arias Hodwar, Rosales Giovanni & Valencia Elizabeth
Revista
2019
LIGA
Revista: Journal of Medical Systems
Resumen

The use of embodied conversational agents in mental health has increased
in the last years. Several studies exist describing the benefits and
advantages of this technology as a complement to psychotherapeutic
interventions for the prevention and treatment of depression, anxiety,
or post-traumatic stress disorder, to name a few. A small number of
these works implement capabilities in the virtual agent focused on the
detection and prevention of suicidality risks. The work presented in
this paper describes the development of an embodied conversational agent
used as the main interface in HelPath, a mobile-based application
addressed to individuals detected with any of the suicidal behaviours:
ideation, planning or attempt. The main objective of HelPath is to
continuously collect user's information that, complemented with data
from the electronic health record, supports the identification of risks
associated with suicidality. Through the virtual agent, the users also
receive information and suggestions based on cognitive behaviour therapy
that would help them to maintain a healthy condition. The paper also
presents the execution of an exploratory pilot to assess the
acceptability, perception and adherence of users towards the virtual
agent. The obtained results are presented and discussed, and some
actions for further improvement of the embodied conversational agent are
also identified.

Assessment of users’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour
Martínez-Miranda Juan, Martínez Ariadna, Ramos Roberto, Aguilar Héctor, Jiménez Liliana, Arias Hodwar, Rosales Giovanni & Valencia Elizabeth
Revista
Cellular Estimation Gaussian Algorithm for Continuous Domain
Martínez López Yoan, Madera Julio, Rodríguez González Ansel Y., Barigye Stephend
Revista
2019
LIGA
Revista: Journal of Intelligent & Fuzzy Systems
Resumen

Optimization algorithms are important in problems of pattern
recognition and artificial intelligence, i.e., the image recognition,
face recognition, data analysis, optical recognition, etc. Estimation
distribution algorithms (EDAs) is kind of optimization algorithms based
on substituting the crossover
and mutation operators of the Genetic Algorithms by the estimation and
later sampling the probability distribution learned from the selected
individuals. However, a weakness of these algorithms is the efficiency
in terms of the number of evaluations of the fitness function. In this
paper, a Cellular Gaussian Estimation Algorithm (CEGA) for solving
continuous optimization problems is proposed. CEGA is derived from
evidence-based learning of independence and decentralized schemes of
local populations. The experimental results showed that the present
proposal reduces the number of evaluations of the fitness function in
the search for optimums, maintaining its effectiveness in comparison to
other algorithms of state-of-art using the same benchmark of continuous
functions.

Cellular Estimation Gaussian Algorithm for Continuous Domain
Martínez López Yoan, Madera Julio, Rodríguez González Ansel Y., Barigye Stephend
Revista
Classification of barking context of domestic dog using high-level descriptors
Gutiérrez Serafín Benjamín, Pérez Espinosa Humberto, Martínez Miranda Juan Crisóforo, & Espinosa Curiel Ismael Edrein
Revista
2019
LIGA
PDF
Revista: Research in Computing Science
Resumen

Barking has been a controversial topic that has been studied from
different points of view. While some authors argue that dog barking is a noncommunicative
vocalization, others believe that barking plays a significant role
in the human-dog interaction. Among the studies that take the last perspective,
one of the most recent methods is to implement machine learning algorithms
to classify single barks in different behavioral context by evaluating low-level
descriptors. However, these research works do not incorporate the analysis of
temporal structure or other dog vocalizations. In the present study, we proposed a
broader approach by taking into account these relevant features that are currently
not considered in the analysis of single barks for the classification of the context.
By implementing an automatic process that segments long recordings of dog
vocalizations and extracts both low-level and high-level descriptors, promising
results were obtained for the barks' context classification from long recordings,
where the highest value of F-measure was 0.71.

Classification of barking context of domestic dog using high-level descriptors
Gutiérrez Serafín Benjamín, Pérez Espinosa Humberto, Martínez Miranda Juan Crisóforo, & Espinosa Curiel Ismael Edrein
Revista
Cross-Cultural Image-Based Author Profiling in Twitter
Ivan Feliciano, Miguel Á Álvarez-Carmona, Manuel Montes-y Gómez, Hugo Jair Escalante, Luis Villasenor-Pineda
Congreso
2019
LIGA
Congreso: MICAI
Resumen

Recent works have shown that it is possible to use information extracted
from images to address the task of automatic gender identification.
These proposals have validated their solutions using monolingual
datasets, i.e., collections where images are shared by users having the
same mother tongue. This paper aims to test the usefulness of images
collected from users who do not share the same language. In principle,
these users present cultural differences, which may be reflected in the
images they share. However, a cross-cultural image-based approach would
be very useful for languages where data is not available or scarce. The
experiments presented demonstrate that characteristics obtained from the
images, regardless of the users' mother tongue, can be used for gender
prediction. They mainly confirm the usefulness of a cross-cultural
image-based approach, showing that culturally different individuals with
equivalent profiles traits tend to share similar images.

Cross-Cultural Image-Based Author Profiling in Twitter
Ivan Feliciano, Miguel Á Álvarez-Carmona, Manuel Montes-y Gómez, Hugo Jair Escalante, Luis Villasenor-Pineda
Congreso
CUMDANCauchy-C1: a Cellular EDA Designed to Solve the Energy Resource Management Problem Under Uncertainty.
Martínez López Yoan, Rodríguez González Ansel Y., Madera Julio, Moya Alexis, Morgado Bismay, Bethencourt Mayedo Miguel
Congreso
2019
LIGA
Congreso: 2nd Workshop on Evolutionary Algorithms for Smart Grids (SmartEA) at GECCO 2019
Resumen

One step in the way to sustainable cities
and society is the massive growth of electric vehicles and producers of
renewable energy (RE) like sun and wind. But these advances are a
challenge in the more efficient management of energy due to the
uncertainty that they incorporate into the problem. In this paper, a
Cellular Estimation Distribution algorithm (CUMDANCauchy-C1) is designed
to Solve the Energy Resource Management Problem Under Uncertainty.
CUMDANCauchy-C1 is a cellular evolutionary algorithm with univariate
estimation and neighborhood One, which learn a combination of Normal and
Cauchy distributions from the global population to generate the new
individuals.
The framework developed for the "2019 Evolutionary
Computation in Uncertain Environments: A Smart Grid Application" was
used to test the proposed algorithm. Also a comparison, in the current
competition framework, with the winners algorithms of the 2018 edition
was done. The experimental results showed that CUMDANCauchy-C1
outperforms the winners algorithms of the 2018 edition.

CUMDANCauchy-C1: a Cellular EDA Designed to Solve the Energy Resource Management Problem Under Uncertainty.
Martínez López Yoan, Rodríguez González Ansel Y., Madera Julio, Moya Alexis, Morgado Bismay, Bethencourt Mayedo Miguel
Congreso
Developing and evaluating a BCI video game for neurofeedback training: the case of autism
José Mercado, Ismael Espinosa-Curiel, Lizbeth Escobedo & Monica Tentori
Revista
2019
LIGA
Revista: Multimed Tools Appl

BCI video games are making brain training increasingly popular and
available; yet scientific evidence to support its efficacy is lacking.
Real-life descriptions of BCI video games deployments in concrete
scenarios are urgently needed. In this paper, we report a use case of
the development and pilot-testing of a BCI video game designed to
support children with autism when attending to Neurofeedback training
sessions, called FarmerKeeper. Caring for children with autism may
impose new cognitive, motor, behavioral, and attention challenges that
current solutions targeted for other populations may not address. The
goal of the game is to maintain children's attention above a threshold
to control a runner who is seeking for lost farm animals. FarmerKeeper
uses a consumer-grade BCI headset to read user's attention. We evaluated
FarmerKeeper's usability and user experience through a 4-weeks
deployment study with 12 children with autism. Our quantitative results
show FarmerKeeper outperforms a commercial BCI video game used for
neurofeedback training, and qualitatively, FarmerKeeper could
successfully support children with autism when attending to
neurofeedback training sessions by possibly improving their attention
and reducing their anxiety. We close reflecting on our design aspects
and discussing directions for future work.

Developing and evaluating a BCI video game for neurofeedback training: the case of autism
José Mercado, Ismael Espinosa-Curiel, Lizbeth Escobedo & Monica Tentori
Revista
Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours
Martínez-Miranda Juan, Palacios-Isaac Antonio, López-Flores Fernando, Martínez Ariadna, Aguilar Héctor, Jiménez Liliana, Ramos Roberto, Rosales Giovanni & Altamirano Luis
Congreso
2019
LIGA
Congreso: Pervasive Computing Paradigms for Mental Health
Resumen

The use of new technologies in the prevention and detection of suicidal
behaviours have a strong potential to reach and offer immediate support
to individuals at risk, their caregivers and in the long run to health
care policymakers. In this paper, we describe the development of a
computational platform to support suicide prevention activities through
two main components. The first one is a Clinical Decision Support System
developed to help specialists with the screening, treatment management,
and the collection and analysis of suicide-related data for
surveillance purposes. The second component of the platform is HelPath, a
mobile-based application, addressed to individuals identified with
suicidal behaviour (ideation, planning or attempt). HelPath offers
support for the remote and continuous collection of data for the
assessment of risk factors and offers suggestions and activities based
on Cognitive Behaviour Therapy that can prevent to commit suicide. The
main functionalities of each component are described emphasising how
each of these functionalities impacts in the different key actions
required to get an integral strategy for suicide prevention.

Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours
Martínez-Miranda Juan, Palacios-Isaac Antonio, López-Flores Fernando, Martínez Ariadna, Aguilar Héctor, Jiménez Liliana, Ramos Roberto, Rosales Giovanni & Altamirano Luis
Congreso
Dictionary–Based Method for Fishing Gear Pattern Detection
Ramón Aranda, Hugo Carlos
Congreso
2019
PDF
Congreso: International Conference on Geospatial Information Sciences

Fishing is an ancient practice that dates back to at least the beginning of the Upper
Paleolithic period about 40,000 years ago. Nowadays, Fishing is one of the most important
activities, as it provides a source of food and economic income worldwide. A key challenge
in ecology and conservation is to decrease the Illegal, Unreported and Unregulated shing
(IUU). IUU shing depletes sh stocks, destroys marine habitats, distorts competition,
puts honest shers at an unfair disadvantage, and weakens coastal communities, particu-
larly in developing countries. One strategy to decrease the IUU shing is monitoring and
detecting the shing vessel behaviors. Satellite{based Automatic Information Systems (S{
AIS) are now commonly installed on most ocean{going vessels and have been proposed as
a novel tool to explore the movements of shing
eets in near real time. In this article,
we present a dictionary{based method to classify, by using AIS data, between two shing
gear types: trawl and purse seine. The data was obtained from Global Fishing Watch.
Our experiments show that our proposal has a good performance in classifying shing be-
haviors, which could help to prevent overexploit and improve the strategies of the sheries
management.

Dictionary–Based Method for Fishing Gear Pattern Detection
Ramón Aranda, Hugo Carlos
Congreso
Estimación automática del gasto energético de la actividad física de niños en videojuegos de ejercicio con el sensor Kinect
Gutiérrez Serafín Benjamín, Pérez Espinosa Humberto, Espinosa Curiel Ismael Edrein, Figueroa García Pedro N., Pozas Bogarin Edgar E., & Martínez Miranda Juan Crisóforo
Revista
2019
LIGA
Revista: Research in Computing Science
Resumen

En este artículo se presenta EGEKN, el cual es un método para la estimación automática del gasto energético dirigido a niños de entre 7 y 10 a˜nos de edad durante sesiones de juego con videojuegos activos. Este método toma como entrada los datos de seguimiento de las juntas del modelo esquelético capturados con un sensor Kinect para calcular el trabajo mecánico del cuerpo del jugador. Adicionalmente, este método considera información contextual como la edad, el sexo, el peso y el índice de masa corporal de los jugadores, el tipo de actividad realizada, el porcentaje de grasa corporal y la frecuencia cardíaca media. A partir de la representación de esta información en vectores de características se entrenó un modelo de regresión para la estimación del gasto energético. Para desarrollar y validar este método se capturaron datos de 46 niños de entre 7 y 10 años de edad. Los participantes jugaron 12 videojuegos activos con diferentes tipos de movimiento e intensidades de actividad física. El modelo entrenado obtuvo una correlación de 0.85, lo cual es comparable con la precisión de métodos similares encontrados en la literatura, pero dirigidos a adultos.

Estimación automática del gasto energético de la actividad física de niños en videojuegos de ejercicio con el sensor Kinect
Gutiérrez Serafín Benjamín, Pérez Espinosa Humberto, Espinosa Curiel Ismael Edrein, Figueroa García Pedro N., Pozas Bogarin Edgar E., & Martínez Miranda Juan Crisóforo
Revista
Evaluation of quantitative and qualitative features for the acoustic analysis of domestic dogs' vocalizations
Pérez Espinosa Humberto, & Torres García Alejandro Antonio
Revista
2019
LIGA
Revista: Journal of Intelligent & Fuzzy Systems
Resumen

The barking and other vocalizations of the domestic dog are an
exciting source of information. Studies in the area of ethology have
analyzed their function and the way humans and conspecifics perceive
them. Without a doubt, better understanding the nature of barking can
bring benefits both, to improve
the welfare of dogs, and for humans who can build systems that take
advantage of the information extracted from vocalizations for
applications, such as, security, assistance, and entertainment. To
develop automatic systems for the analysis of domestic dog
vocalizations, we need to have acoustic characterization methods that
allow capturing the most relevant properties of barking and thereby
improving the performance of automatic classifiers. In this paper, a
comparison between several acoustic characterization techniques is made
to determine their relevance in the classification of two aspects of the
barking, which are the context in which they were generated and the
identity of the dog that emitted the bark. We classified the tested
acoustic features as qualitative and quantitative. The quantitative are
derived from the processing of low-level acoustic descriptors and have
been used most widely in audio analysis. The qualitative ones are a type
of acoustic that capture aspects related to the perception of the
melody of the vocalizations and had not been previously tested in this
field of application.

Evaluation of quantitative and qualitative features for the acoustic analysis of domestic dogs' vocalizations
Pérez Espinosa Humberto, & Torres García Alejandro Antonio
Revista
Frequent similar pattern mining using non Boolean similarity functions
Rodríguez González Ansel Y., Martínez Trinidad,José F., Carrasco Ochoa Jesús A., Ruiz-Shulcloper José, Alvarado Mentado Matías
Revista
2019
LIGA
Revista: Journal of Intelligent & Fuzzy Systems
Resumen

There are many problems were the objects under study are described
by mixed data (numerical and non numerical features) and similarity
functions different from the exact matching are usually employed to
compare them. Some algorithms for mining frequent patterns allow the use
of Boolean similarity functions
different from exact matching. However, they do not allow the use of
non Boolean similarity functions. Transforming a non Boolean similarity
function into a Boolean one, and then applying the previous algorithms
for mining frequent patterns, could lead to loss some patterns, and even
more to generate some other patterns which indeed should not be
considered as frequent similar patterns. In this paper, we extend the
similar frequent pattern mining by allowing the use of non Boolean
similarity functions. Several properties for pruning the search space of
frequent similar patterns and a data structure that allows computing
the frequency of patterns candidates, are proposed. Also, three
algorithms for mining frequent patterns using non Boolean similarity
functions are proposed. Experimental results show the efficiency and
efficacy of the algorithms. The proposed algorithms obtain better
patterns for classification than those patterns obtained by traditional
frequent pattern miners, and miners using Boolean similarity functions.

Frequent similar pattern mining using non Boolean similarity functions
Rodríguez González Ansel Y., Martínez Trinidad,José F., Carrasco Ochoa Jesús A., Ruiz-Shulcloper José, Alvarado Mentado Matías
Revista
HealthyLunch: A Serious Game for Educating and Promoting the Intake of the Recommended Number of Daily Servings Among Children
Ismael Edrein Espinosa-Curiel,Mitzi Josué Martínez-Rosas, Juan Manuel del Hoyo-Ceja, Edwin Emeth Delgado-Pérez, Edgar Efrén Pozas-Bogarin
Congreso
2019
LIGA
Congreso: International Conference on Games and Learning Alliance GALA 2019
Resumen

The intake of bigger portions and the excess in the intake of servings of some foods groups is one of the factors that had been playing major roles in the rising rates of obesity worldwide. To help children to identify the serving size of popular food and the recommended daily number of servings of each food group for them, we developed HealthyLunch (HL). It is a serious game where players need to prepare to children lunch boxes that include the food for a day respecting the recommended daily number of servings for children of each food group, and avoiding exceeding the daily recommendations of calories, fat, sugar, and salt. The HL elements are based on nutrition knowledge and constructs from cognitive and behavioral theories. In this paper, we describe the design process of HL and report the results of the usability evaluation study.

HealthyLunch: A Serious Game for Educating and Promoting the Intake of the Recommended Number of Daily Servings Among Children
Ismael Edrein Espinosa-Curiel,Mitzi Josué Martínez-Rosas, Juan Manuel del Hoyo-Ceja, Edwin Emeth Delgado-Pérez, Edgar Efrén Pozas-Bogarin
Congreso
IESC-Child: An Interactive Emotional Children's Speech Corpus
Pérez Espinosa Humberto, Martínez Miranda Juan Crisóforo, Espinosa Curiel Ismael Edrein, Rodríguez Jacobo Josefina, Villaseñor Pineda Luis, & Ávila George Himer
Revista
2019
LIGA
Revista: Computer Speech and Language
Resumen

In this paper, we describe the process that we used to create a new
corpus of children's emotional speech. We used a Wizard of Oz (WoZ)
setting to induce different emotional reactions in children during
speech-based interactions with two robots. We recorded the speech spoken
in Mexican Spanish by 174 children (both sexes) between 6 and 11 years
of age. The recordings were manually segmented and transcribed. The
segments were then labeled with two types of emotional-related
paralinguistic information: emotion and attitude. The corpus contained
2093 min of audio recordings (34.88 h) divided into 19,793 speech
segments. The Interactive Emotional Children's Speech Corpus
(IESC-Child) can be a valuable resource for researchers studying
affective reactions in speech communication during child-computer
interactions in Spanish and for creating models to recognize acoustic
paralinguistic information. IESC-Child is available to the research
community upon request.

IESC-Child: An Interactive Emotional Children's Speech Corpus
Pérez Espinosa Humberto, Martínez Miranda Juan Crisóforo, Espinosa Curiel Ismael Edrein, Rodríguez Jacobo Josefina, Villaseñor Pineda Luis, & Ávila George Himer
Revista
Overview of mex-a3t at iberlef 2019: Authorship and aggressiveness analysis in mexican spanish tweets
Mario Ezra Aragón, Miguel Á Álvarez-Carmona, Manuel Montes-y Gómez, Hugo Jair Escalante, Luis Villasenor-Pineda & Daniela Moctezuma
Revista
2019
LIGA
Revista: IberLEF: Iberian Languages Evaluation Forum
Resumen

This paper presents the framework and results from the MEX-A3T
track at IberLEF 2019. This track considers two tasks, autor profiling and
aggressiveness detection, both of them using Mexican Spanish tweets. The author
profiling task consists on determining the gender, occupation and place of
residence of users from their tweets. As a novelty in this year's edition, it
considers the use of text and images as information sources, with the aim of
studying the relevance and complementarity of multimodal data for profiling
social media users. On the other hand, the aggressiveness detection task
follows the same design than the previous edition; it aims to discriminate
between aggressive and non-aggressive tweets. For both tasks, we have built new
corpora considering tweets from Mexican Twitter users. This paper compares and discusses
the results of the participants.

Overview of mex-a3t at iberlef 2019: Authorship and aggressiveness analysis in mexican spanish tweets
Mario Ezra Aragón, Miguel Á Álvarez-Carmona, Manuel Montes-y Gómez, Hugo Jair Escalante, Luis Villasenor-Pineda & Daniela Moctezuma
Revista
2018
Age-based differences in preferences and affective reactions towards a robot's personality during interaction
Juan Martínez-Miranda, Humberto Pérez-Espinosa, Ismael Espinosa-Curiel, Himer Avila-George, Josefína Rodríguez-Jacobo
Revista
2018
LIGA
Revista: Computers in Human Behavior
Resumen

The design and use of social robots addressed to the children population is a growing research field. The understanding of how the children react, or what are their preferences towards a robot with different styles of interaction is an important aspect to maximise the construction of a social bond between the robot and the child. In this paper we describe an experiment to assess these affective reactions and preferences based on an age-based stratification. A Wizard-Of-Oz scenario was used to design a playing mission where the child guides the robot, via voice commands, through a maze while collecting sweets and avoiding obstacles. Every participant interacted with two robots during the session. Two types of personalities were modelled in the robots with the same physical appearance: the agreeableness, and its opposite, disagreeableness personality trait. A total of 174 children between 6 and 11 years old took part in the experiment. The data about the affective reactions and preferences of the children towards the robots were collected through a multiple choice questionnaire. Significative statistical differences based on the age were found in the self-reported information provided by the children. These differences were noticeable in the youngest children (aged 6–7) with respect to the rest of the participants.

Age-based differences in preferences and affective reactions towards a robot's personality during interaction
Juan Martínez-Miranda, Humberto Pérez-Espinosa, Ismael Espinosa-Curiel, Himer Avila-George, Josefína Rodríguez-Jacobo
Revista
An Android App for detecting damage on tobacco (Nicotiana tabacum L.) leaves caused by blue mold (Penospora tabacina Adam)
Valdez Morones Topacio, Pérez Espinosa Humberto, Ávila George Himer, Oblitas Jimy, & Castro Wilson
Congreso
2018
LIGA
Congreso: CIMPS
Resumen

En este artículo, presentamos una aplicación Android diseñada para detectar daños en hojas de tabaco causadas por el
hongo del moho azul. Esta aplicación móvil utiliza un clasificador
que se creó empleando una técnica de reconocimiento de patro-
nes conocida como Redes Neurales Artificiales. Para las etapas de
entrenamiento y prueba, se usaron un total de 40 imágenes de
hojas de tabaco. La experimentación realizada muestra que el
modelo desarrollado tiene una precisión superior al 97% y que
no existe diferencia significativa con respecto a un análisis visual
realizado por expertos en cultivos de tabaco.

An Android App for detecting damage on tobacco (Nicotiana tabacum L.) leaves caused by blue mold (Penospora tabacina Adam)
Valdez Morones Topacio, Pérez Espinosa Humberto, Ávila George Himer, Oblitas Jimy, & Castro Wilson
Congreso
Analysis of the changes in communication and social interactions during the transformation of a traditional team into an agile team
Ismael Edrein Espinosa‐Curiel Josefina Rodríguez‐Jacobo Erika Vázquez‐Alfaro José Alberto Fernández‐Zepeda Daniel Fajardo‐Delgado
Revista
2018
LIGA
Revista: Software:Evolution and process
Resumen

Traditional software teams that implement agile methodologies frequently experience difficulty working efficiently as agile teams. While agile methodologies support and promote social activities and behaviors, the understanding of the social phenomena and challenges that arise during the transformation of traditional teams into agile teams is limited. We conducted an extensive 10‐month case study in a software enterprise to analyze the changes in the communication and social interactions of employees during the transformation process, and to delineate the social challenges that arise during this process. Using social interaction registers, we collected data on the communication and social interactions of employees, first when they worked as a traditional team and then as an agile team. Then, we processed the data using social network analysis methods to identify the differences between these 2 types of teams and to create graphs of communication and social interaction networks. We identified that the transformation process influences formal, informal, oral, and written communication and increases conjunctive and disjunctive social interactions. Further, from the results of interviews conducted with all the enterprise members, we identified 5 social challenges to transforming a traditional team into an agile one. The results of this research suggest that the transformation process requires broad changes in the relationships and interactions among employees.

Analysis of the changes in communication and social interactions during the transformation of a traditional team into an agile team
Ismael Edrein Espinosa‐Curiel Josefina Rodríguez‐Jacobo Erika Vázquez‐Alfaro José Alberto Fernández‐Zepeda Daniel Fajardo‐Delgado
Revista
Analyzing children’s affective reactions and preferences towards social robots using paralinguistic and self-reported information
Humberto Pérez-Espinosa, Juan Martínez-Miranda, Himer Avila-George, Ismael Espinosa-Curiel
Revista
2018
LIGA
Revista: Journal of Intelligent & Fuzzy Systems
Resumen

The advances in social robotics have extended the possibilities of
their use in different applications and have also increased the sectors
of users to which those applications can benefit. An attractive
population of users is children. Recently, there has been a trend
towards research in the design
of interactive systems for children, as well as in the study of
modeling the interaction between children and this type of systems. In
this work, we present a study carried out with the objective of
analyzing the affective response of children when interacting with a
robot using speech-based communication. We collected data through an
experiment using a Wizard of Oz scenario where we induced different
affective reactions in the participants. Two type of data were collected
and analyzed: 1) a set of evaluators manually created annotations of
emotions and attitudes to determine the distribution of emotions during
the experiments and evaluate how difficult is the training of automatic
classifiers to discriminate different affective states from the acoustic
properties of the children's voices; 2) we used the children's
responses from a self-evaluation questionnaire about their perceptions
and preferences towards the robots, modeled with different
personalities, to assess whether there are relevant differences
according to their different age's range. We obtained a large children's
speech database that would be a valuable resource for the study of
paralinguistic and interaction aspects. Despite the imbalance of the
database, we were able to obtain good results for the classification of
emotions and attitudes. We also find some relevant differences in how
young and older children note the differences in the behaviors of the
robots according to the modeled personality. Differences based on
children's age were also found in the preferences towards the two
different robots.

Analyzing children’s affective reactions and preferences towards social robots using paralinguistic and self-reported information
Humberto Pérez-Espinosa, Juan Martínez-Miranda, Himer Avila-George, Ismael Espinosa-Curiel
Revista
Assessment of the emotional state in domestic dogs using a bi-dimensional model of emotions and a machine learning approach for the analysis of its vocalizations
Pérez Espinosa Humberto, Reyes Meza Verónica, Arteaga Castañeda María De Lourdes, Espinosa Curiel Ismael Edrein, Bautista Amado, & Martínez Miranda Juan Crisóforo
Revista
2018
LIGA
Revista: Research in Computing Science
Resumen

Arti cial intelligence techniques have been used to classify
automatically animal vocalizations. The researchers have found distinct
acoustic patterns from the analysis of the relationship between regular
and irregular components of the signal. In this work, we analyzed the
feasibility of training models for bark classi cation according to the
emotional state of the dog using a model designed to represent human
emotions. For this, we induced positive and negative emotions in 10
Schnauzer and 10 Chihuahua dogs reacting to the presence of a stranger
and playing with its owner. We recorded and analyzed almost six thousand
audio samples of dog vocalizations. Human evaluators assessed the
emotional status of dogs. We also found a strong correlation between
the evaluators' assessments and the automatic estimation of valence
and arousal. Our study underlines the validity of a new technique to
classify dog's emotional states using an automatized acoustic analysis of
its vocalizations that could be useful to model the relationship between
sound properties and emotional content.

Assessment of the emotional state in domestic dogs using a bi-dimensional model of emotions and a machine learning approach for the analysis of its vocalizations
Pérez Espinosa Humberto, Reyes Meza Verónica, Arteaga Castañeda María De Lourdes, Espinosa Curiel Ismael Edrein, Bautista Amado, & Martínez Miranda Juan Crisóforo
Revista
Automatic individual dog recognition based on the acoustic properties of its barks
Pérez Espinosa Humberto, Reyes Meza Verónica, Aguilar Benitez Emanuel, & Sanzon Rosas Yuvila Mariela
Revista
2018
LIGA
Revista: Journal of Intelligent & Fuzzy Systems
Resumen

The bark is a very distinctive vocalization of the dog. It is very
common and a mean for interaction with humans. However, the scope of
their automated analysis by computational techniques, as well as the
possible applications to which they can give rise have been little
explored. In this study, we
describe the process to develop an automatic classifier that can
identify individual dogs based on their barks. We created a database
with more than 6,000 barks applying positive and negative stimuli to
dogs. We acoustically characterized the barking samples using a signal
processing tool that extracts large sets of features. Based on these
sets, we generated optimal subsets of features to feed machine learning
algorithms which trained classification models. We evaluated such models
and compared the classification performance of different algorithms. We
analyzed the pertinence of training specific models per each breed. The
classification obtained outperform the results previously reported in
similar works. Our findings suggest that practical applications could be
constructed on this kind of technology.

Automatic individual dog recognition based on the acoustic properties of its barks
Pérez Espinosa Humberto, Reyes Meza Verónica, Aguilar Benitez Emanuel, & Sanzon Rosas Yuvila Mariela
Revista
Children's age and gender classification based on speech using ConvNets
Pérez Espinosa Humberto, Ávila George Himer, Martínez Miranda Juan Crisóforo, Espinosa Curiel Ismael Edrein, Rodríguez Jacobo Josefina, & Cruz Mendoza Hector Alonso
Revista
2018
LIGA
PDF
Revista: Research in Computing Science

In this paper, we present a study about building age and
gender automatic classi ers for children at their rst school years (between
6 and 11 years old). We created a speech corpus with 174 children
interacting with a couple of robots in a Wizard of Oz scenario. The
recorded speech was manually segmented and then characterized with
low-level acoustic features. Next, we trained the classi cation models
using a convolutional neural network architecture. Due to the complexity
in the tuning process for the correct selection of the parameters used for
this type of neural network, we integrated the use of a mathematical
object called covering arrays to generate the set of optimal parameters
for neural network architecture. Given the complexity of the classi cation
of children speech, we obtained encouraging results. Our results indicate
that it is dicult to achieve an accurate classi cation of children with
very close ages. By grouping the subjects into two or three ages, the
results improved signi cantly. On the other hand, the task of gender
identi cation was less challenging, and we obtained higher classi cation
performance measures.

Children's age and gender classification based on speech using ConvNets
Pérez Espinosa Humberto, Ávila George Himer, Martínez Miranda Juan Crisóforo, Espinosa Curiel Ismael Edrein, Rodríguez Jacobo Josefina, & Cruz Mendoza Hector Alonso
Revista
Comparison between artificial neutral network and partial least squares regression models for hardness modeling during the ripening process of Swiss-type cheese using spectral profiles
Nadya Vásquez, Claudia Magán, Jimy Oblitas, Tony Chuquizuta, Himer Avila-George, y Wilson Castro
Revista
2018
LIGA
Revista: Journal of Food Engineering
Resumen

The evaluation of cheese texture during the ripening phase usually involves invasive and destructive methods, as well as specialized equipment, which are non-advantageous characteristics for routine tests. Therefore, new noninvasive technologies for measuring texture properties are being studied. In this paper, forty Swiss-type cheese samples were prepared and carried to the ripening stage. During this process, hyperspectral images (HSI) were obtained in reflectance mode, in a range of 400–1000 nm. The hardness of Swiss-type cheese was measured using the technique of texture profile analysis. The relationship between spectral profiles and hardness values was modeled using two types of regression models, i.e., partial least squares regression (PLSR) and artificial neural networks (ANN). For both PLSR and ANN, two models were created, the first one uses all the wavelengths and the second makes a selection of the relevant wavelengths. The ANN models showed slightly better performance than the PLSR models. As result, it is possible to use the proposed technique (HSI + ANN) to predict the texture properties of Swiss-type cheeses throughout the ripening period.

Comparison between artificial neutral network and partial least squares regression models for hardness modeling during the ripening process of Swiss-type cheese using spectral profiles
Nadya Vásquez, Claudia Magán, Jimy Oblitas, Tony Chuquizuta, Himer Avila-George, y Wilson Castro
Revista
Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images
Wilson Castro, Jimy Oblitas, Jorge Maicelo, Himer Avila-George
Revista
2018
LIGA
Revista: ATLANTIS PRESS
Resumen

In this work, the use of expert systems and hyperspectral imaging in the determination of coffee rust infection was evaluated. Three classifiers were trained using spectral profiles from different stages of infection, and the classifier based on a support vector machine provided the best performance. When this classifier was compared to visual analysis, statistically significant differences were observed, and the highest sensitivity of the selected classifier was found at early stages of infection.

Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images
Wilson Castro, Jimy Oblitas, Jorge Maicelo, Himer Avila-George
Revista
Genetic Programming for the Classification of Levels of Mammographic Density
Daniel Fajardo-DelgadoEmail authorMaría Guadalupe SánchezRaquel Ochoa-OrnelasIsmael Edrein Espinosa-CurielVicente Vidal
Congreso
2018
LIGA
Congreso: International Conference on Artificial Intelligence and Soft Computing ICAISC 2018
Resumen

Breast cancer is the second cause of death of adult women in Mexico. Some of the risk factors for breast cancer that are visible in a mammography are the masses, calcifications, and the levels of mammographic density. While the first two have been studied extensively through the use of digital mammographies, this is not the case for the last one. In this paper, we address the automatic classification problem for the levels of mammographic density based on an evolutionary approach. Our solution comprises the following stages: thresholding, feature extractions, and the implementation of a genetic program. We performed experiments to compare the accuracy of our solution with other conventional classifiers. Experimental results show that our solution is very competitive and even outperforms the other classifiers in some cases.

Genetic Programming for the Classification of Levels of Mammographic Density
Daniel Fajardo-DelgadoEmail authorMaría Guadalupe SánchezRaquel Ochoa-OrnelasIsmael Edrein Espinosa-CurielVicente Vidal
Congreso
Improved pairwise test suites for non-prime-power orders
Himer Avila-George, Jose Torres-Jimenez, Idelfonso Izquierdo-Marquez
Revista
2018
LIGA
PDF
Revista: IET Software
Resumen

Software testing has become a critical component of the modern software development process. Therefore, a lot of research has been done in this area in recent years, and as a result new algorithms, methodologies, and tools have been created. One of the most used testing strategies is pairwise testing; this technique ensures that all possible combinations of values between any two input parameters are covered by at least one test. In this work, a new algorithm called add factor and stochastic optimisation (AFSO) is used to build small pairwise test suites for non-prime-power orders. Starting from an orthogonal array of order v∈{10,12,14,15,18,20,21,22,24}, AFSO iteratively adds a factor and then reduces to zero the number of uncovered combinations by means of a simulated annealing algorithm. The results of the AFSO algorithm improved the size of 92 pairwise test suites with non-prime-power orders. One of these improved test suites is used in a real-word application to show the usefulness of the new results.

Improved pairwise test suites for non-prime-power orders
Himer Avila-George, Jose Torres-Jimenez, Idelfonso Izquierdo-Marquez
Revista
Induction of Emotional States in Educational Video Games through a Fuzzy Control System
Lara Alvarez Carlos, Mitre Hernández Hugo, Flores Romero Juan José, & Pérez Espinosa Humberto
Revista
2018
LIGA
Revista: IEEE Transactions on Affective Computing
Resumen

It has been shown that the emotional state of students plays an
important role towards with learning; for instance, engaged
concentration is positively correlated with learning. This paper
proposes the Inductive Control (IC) for educational games. Unlike
conventional approaches that only modify the game level, the proposed
technique also induces emotions in the player for supporting the
learning process. This paper explores a fuzzy system that analyzes the
players' performance and their emotional state for controlling the level
and aesthetic content of an educational video game. The emotional state
of the player is recognized through voice analysis. A total of 40
subjects played a video game designed to practice basic math skills; for
each trial, a student plays two times in a row the same game but each
time the game was controlled by one of the two approaches ---Dynamic
Difficulty Adjustment (DDA) and IC, the playing order was assigned
randomly. Results show that when the proposed approach is used the
participants changed faster from unpleasant--low to pleasant or high
emotions. These experiments demonstrate that the inductive control
technique improves the learning effectiveness through detection and
stimulation of positive emotions.

Induction of Emotional States in Educational Video Games through a Fuzzy Control System
Lara Alvarez Carlos, Mitre Hernández Hugo, Flores Romero Juan José, & Pérez Espinosa Humberto
Revista
Sistemas Interactivos Emocionales
Martínez-Miranda Juan & Pérez Espinosa Humberto
Capítulo de libro
2018
LIGA
Libro: Academia Mexicana de Computación
Capítulo de libro: 5
Prólogo

El área de investigación conocida como interacción
humano-computadora se ha enfocado tradicionalmente al estudio, diseño y
desarrollo de metodologías y técnicas que faciliten una comunicación efectiva
entre un sistema computacional y el usuario al que va dirigido. En años
recientes, los objetivos de esta área de investigación han evolucionado pasando
de concentrarse en el desarrollo de interfaces de usuario amigables, intuitivas
y útiles, hacia la construcción de sistemas interactivos capaces de adaptar y
personalizar su funcionalidad acorde a las características particulares de cada
usuario con el fin último de motivarlo e involucrarlo plenamente en una tarea
determinada. Un tipo particular de estos sistemas interactivos son aquellos que
utilizan el lenguaje natural para comunicarse con el usuario. Esto facilita la
ejecución de las acciones provistas por el sistema, pues emula una comunicación
como la que se da de persona a persona. El uso del lenguaje natural para
interactuar con un sistema computacional puede ser aprovechado no solo para dar
y recibir instrucciones, también es un mecanismo de comunicación el cual puede
ser utilizado para inferir ciertas características del usuario tales como su
estado emocional o anímico, y para transmitir la información de una manera empática
que ayude a generar confianza en el usuario. En este capítulo se presenta una
breve reseña sobre el desarrollo actual de los sistemas interactivos basados en
lenguaje natural y algunas de las técnicas utilizadas para el reconocimiento de
emociones a partir de la voz, así como el modelado de emociones en sistemas
artificiales. Se presentan también algunos de los proyectos desarrollados en
nuestro centro de investigación que utilizan estas técnicas para diferentes
objetivos, desde la mejora de la interacción de niños y adultos mayores con
sistemas basados en voz, hasta el desarrollo de sistemas interactivos para la
ayuda en problemáticas del sector salud.

Sistemas Interactivos Emocionales
Martínez-Miranda Juan & Pérez Espinosa Humberto
Capítulo de libro
The use of language in affective computing for human-computer interaction
Juan Martínez-Miranda, Humberto Pérez-Espinosa
Capítulo de libro
2018
LIGA
Capítulo de libro: Language and Emotion: An International Handbook
Prólogo

The Handbook consists of four major sections. Each section is introduced by a main article:
- Theories of Emotion – General Aspects
- Perspectives in Communication Theory, Semiotics, and Linguistics
- Perspectives on Language and Emotion in Cultural Studies
- Interdisciplinary and Applied Perspectives
The first section presents interdisciplinary emotion theories relevant for the field of language and communication research, including the history of emotion research.
The second section focuses on the full range of emotion-related aspects in linguistics, semiotics, and communication theories.
The next section focuses on cultural studies and language and emotion; emotions in arts and literature, as well as research on emotion in literary studies; and media and emotion.
The final section covers different domains, social practices, and applications, such as society, policy, diplomacy, economics and business communication, religion and emotional language, the domain of affective computing in human-machine interaction, and language and emotion research for language education. Overall, this Handbook represents a comprehensive overview in a rich, diverse compendium never before published in this particular domain.

The use of language in affective computing for human-computer interaction
Juan Martínez-Miranda, Humberto Pérez-Espinosa
Capítulo de libro
Using Artificial Neural Networks for Detecting Damage on Tobacco Leaves Caused by Blue Mold
Ávila George Himer, Valdez Morones Topacio, Pérez Espinosa Humberto, Acevedo Juárez Brenda, & Castro Wilson
Revista
2018
LIGA
Revista: International Journal of Advanced Computer Science and Applications
Resumen

Worldwide, the monitoring of pests and diseases plays a fundamental role
in the agricultural sustainability; making necessary the development of
new tools for early pest detection. In this sense, we present a
software application for detecting damage in tobacco (Nicotiana tabacum
L.) leaves caused by the fungus of blue mold (Peronospora tabacina
Adam). This software application processes tobacco leaves images using a
pat-tern recognition technique known as Artificial Neural Network. For
the training and testing stages, a total of 40 images of tobacco leaves
were used. The experimentation carried out shows that the developed
model has accuracy higher than 97% and there is no significant
difference with a visual analysis carried out by experts in tobacco
crop.

Using Artificial Neural Networks for Detecting Damage on Tobacco Leaves Caused by Blue Mold
Ávila George Himer, Valdez Morones Topacio, Pérez Espinosa Humberto, Acevedo Juárez Brenda, & Castro Wilson
Revista
2017
Application of image analysis to optimization of the bread-making process based on the acceptability of the crust color
Wilson Castro, Jimy Oblitas, Tony Chuquizuta, Himer Avila-George
Revista
2017
LIGA
Revista: Jornal of Cereal Science
Resumen

Consumption of bread and the demands concerning its quality features, being one of them its appearance, have been experiencing rapid growth. Thus, the standardization of its production aiming to keep its quality, applying new methods. The objective of this research was to develop a method to optimize the bread-making processes based on the acceptability of its crust color. For this effect, bread was experimentally produced using a Box-Behnken experimental design with three factors (sugar-flour relation, Baking temperature and Baking time) and three answer variables (L*, a*, b* ¼ parameters of CIELab color space); determination of color, by means of the acquisition, pre-processing, and analysis of images of bread samples until getting the color expressed in CIELab coordinates; an analysis of sensorial acceptance was made determining the L*, a*, and b* with the highest acceptance by consumers; finally, the optimization of the production process was made based on the L*, a*, and b* parameters, getting the optimal production parameters. The results show that by using the proposed method, it is possible to correlate the parameters of CIELab color space and the acceptance of the final consumer aiming to optimize bread making processes, it means getting bread with crust color of maximum acceptability.

Application of image analysis to optimization of the bread-making process based on the acceptability of the crust color
Wilson Castro, Jimy Oblitas, Tony Chuquizuta, Himer Avila-George
Revista
Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges
Juan Martínez-Miranda
Revista
2017
LIGA
Revista: Journal of Medical Systems
Resumen

Embodied conversational agents (ECAs) are advanced computational interactive interfaces designed with the aim to engage users in the continuous and long-term use of a background application. The advantages and benefits of these agents have been exploited in several e-health systems. One of the medical domains where ECAs are recently applied is to support the detection of symptoms, prevention and treatment of mental health disorders. As ECAs based applications are increasingly used in clinical psychology, and due that one fatal consequence of mental health problems is the commitment of suicide, it is necessary to analyse how current ECAs in this clinical domain support the early detection and prevention of risk situations associated with suicidality. The present work provides and overview of the main features implemented in the ECAs to detect and prevent suicidal behaviours through two scenarios: ECAs acting as virtual counsellors to offer immediate help to individuals in risk; and ECAs acting as virtual patients for learning/training in the identification of suicide behaviours. A literature review was performed to identify relevant studies in this domain during the last decade, describing the main characteristics of the implemented ECAs and how they have been evaluated. A total of six studies were included in the review fulfilling the defined search criteria. Most of the experimental studies indicate promising results, though these types of ECAs are not yet commonly used in routine practice. The identification of some open challenges for the further development of ECAs within this domain is also discussed.

Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges
Juan Martínez-Miranda
Revista
Hacia la identificación automática de la personalidad animal
Reyes Meza Verónica, Pérez Espinosa Humberto, & Bautista Amado
Revista
2017
LIGA
Revista: Ciencia y Desarrollo
Resumen

Se sabe que animales de la misma especie, edad, sexo, tamaño e, incluso, genéticamente similares, difieren en su agresividad, conductas de riesgo, elección de pareja y nivel general de actividad, entre otras características. Estas variaciones, que ocurren de manera natural, corresponden a diferencias individuales.

Hacia la identificación automática de la personalidad animal
Reyes Meza Verónica, Pérez Espinosa Humberto, & Bautista Amado
Revista
Hacia la interpretación automática de ladridos
Pérez Espinosa Humberto, Reyes Meza Verónica, Martínez Miranda Juan Crisóforo, Espinosa Curiel Ismael Edrein, Ávila George Himer, & Rodríguez Jacobo Josefina
Revista
2017
LIGA
Revista: Komputer Sapiens
Resumen

En este artículo se describe el trabajo de investigación que
se ha desarrollado en diversos laboratorios, en las áreas de comportamiento
animal e inteligencia artificial con el objetivo de obtener información valiosa
del análisis acústico de ladridos y otras vocalizaciones emitidas por el perro.
Además, se presentan algunos de los avances metodológicos para la creación de
bases de datos y reconocimiento de emociones en ladridos, obtenidos en la
Unidad de Transferencia Tecnológica Tepic del Centro de investigación Científica
y Estudios Superiores de Ensenada (CICESE-UT3) y la Universidad Popular Autónoma
del Estado de Puebla (UPAEP).

Hacia la interpretación automática de ladridos
Pérez Espinosa Humberto, Reyes Meza Verónica, Martínez Miranda Juan Crisóforo, Espinosa Curiel Ismael Edrein, Ávila George Himer, & Rodríguez Jacobo Josefina
Revista
Modelling Personality-Based Individual Differences in the Use of Emotion Regulation Strategies
Juan Martínez-Miranda and Matías Alvarado
Congreso
2017
LIGA
Congreso: 30th Canadian Conference on Artificial Intelligence. Advances in Artificial Intelligence
Resumen

The modelling of the emotion regulation process is an important aspect that can contribute to the creation of more realistic intelligent virtual agents. The emotional reactions in a virtual agent, produced by the regulation process, can be useful to better adapt the agent's behaviour to the particular requirements of a social interactive scenario. We propose a computational model of emotion regulation where the use of di erent strategies to down-regulate the negative emotions is based on personality-based individual di erences. Our model implements a fuzzy mechanism that reproduce the correlation between di erent personality traits and the use of the speci c emotion regulation strategies described in the literature. The validation of the model has been performed through a set of simulations where synthetic data have been enerated to represent individuals with di erent personalities.

Modelling Personality-Based Individual Differences in the Use of Emotion Regulation Strategies
Juan Martínez-Miranda and Matías Alvarado
Congreso
Multilayer perceptron architecture optimization using parallel computing techniques
Wilson Castro, Jimy Oblitas, Roberto Santa-Cruz, Himer Avila-George
Revista
2017
LIGA
Revista: PLOS ONE
Resumen

The objetive of this researchs was to develop a methodology for optimizing multilayer-per-ceptron-type neutral networks by evaluating the effects of three neutral architecture parameters, namely, number of hidden layers (HL), neurons per hidden layer (NHL), and activatión function type (AF), on the sum squares error (SSE).

Multilayer perceptron architecture optimization using parallel computing techniques
Wilson Castro, Jimy Oblitas, Roberto Santa-Cruz, Himer Avila-George
Revista
Optimal shortening of uniform covering arrays
Jose Torres-Jimenez1, Nelson Rangel-Valdez, Himer Avila-George, Oscar Carrizalez Turrubiates
Revista
2017
LIGA
Revista: PLOS ONE
Resumen

Software test suites based on the concept of interaction testing are very useful for testing software components in an economical way. Test suites of this kind may be created using mathematical objects called covering arrays. A covering array, denoted by CA(N; t, k, v), is an N×k array overZv ¼f0;...;v 1gwith the property that every N×t sub-array covers all t-tuples ofZt v at least once. Covering arrays can be used to test systems in which failures occur as a result of interactions among components or subsystems. They are often used in areas such as hardware Trojan detection, software testing, and network design. Because system testing is expensive, it is critical to reduce the amount of testing required. This paper addresses the Optimal Shortening of Covering ARrays (OSCAR) problem, an optimization problem whose objective is to construct, from an existing covering array matrix of uniform level, an array with dimensions of (N−δ)×(k−Δ) such that the number of missing t-tuples is minimized. Two applications of the OSCAR problem are (a) to produce smaller covering arrays from larger ones and (b) to obtain quasi-covering arrays (covering arrays in which the number of missing t-tuples is small) to be used as input to a meta-heuristic algorithm that produces covering arrays. In addition, it is proven that the OSCAR problem is NP-complete, and twelve different algorithms are proposed to solve it. An experiment was performed on 62 problem instances, and the results demonstrate the effectiveness of solving the OSCAR problem to facilitate the construction of new covering arrays.

Optimal shortening of uniform covering arrays
Jose Torres-Jimenez1, Nelson Rangel-Valdez, Himer Avila-George, Oscar Carrizalez Turrubiates
Revista
Tuning the Parameters of a Convolutional Artificial Neural Network by Using Covering Arrays
Pérez Espinosa Humberto, Ávila George Himer, Rodríguez Jacobo Josefina, Cruz Mendoza Hector Alonso, Martínez Miranda Juan Crisóforo, & Espinosa Curiel Ismael Edrein
Revista
2017
LIGA
Revista: Research in Computing Science
Resumen

Artificial Neural Networks have proven to be a very
powerful machine learning algorithm which can be adequate to learn successfully
a variety of tasks. Currently, very complex classication problems on diferent
kind of data (images, video, sound, text, DNA) have been solved using neural
networks. This kind of algorithms usually has many parameters that need to be fine-tuned
in order to have good results. Usually, this tuning is made by trial and error.
However, this procedure does not guarantee the optimal performance of the
training process. In this work, we study the use of mixed-level covering arrays
to design experiments that help us to find the best combinations of parameters.
We tested this approach by tuning a convolutional neural network for an audio
classication task. For the implementation, we took advantage of the flexibility
of the open source software library for machine learning TensorFlow.

Tuning the Parameters of a Convolutional Artificial Neural Network by Using Covering Arrays
Pérez Espinosa Humberto, Ávila George Himer, Rodríguez Jacobo Josefina, Cruz Mendoza Hector Alonso, Martínez Miranda Juan Crisóforo, & Espinosa Curiel Ismael Edrein
Revista
Using acoustic paralinguistic information to assess the interaction quality in speech-based systems for elderly users
Pérez-Espinosa H., Martínez-Miranda J., Espinosa-Curiel I., Rodríguez-Jacobo J., Avila-George H
Revista
2017
LIGA
PDF
Revista: International Journal of Human-Computer Studies
Resumen

At present, there is a growing need for assisting living systems for the elderly. This type of technology must meet certain accessibility and usability requirements to be adopted successfully. Speech-based interfaces represent a very attractive option for improving the usability and acceptability of assistive technologies for elderly users because they provide a very easily accessible interface and also facilitate paralinguistic analysis of the user's voice to provide valuable information about their emotional and mental states while interacting with a computer system. This information can be used to improve the quality of the interaction between the assistive system and its user. In this study, we propose a method based on the automatic recognition of acoustic paralinguistic phenomena for estimating the quality of speech-based interactions. The proposed method automatically recognizes paralinguistic phenomena (e.g., shouting, hyper-articulation, and hesitation) during the interaction between the user and the system. The interaction is then characterized based on the occurrence of these phenomena. A model is trained using this characterization, which can estimate the quality of the interaction. Using this method, we obtained good recognition performance (F-measure around 70%) when classifying paralinguistic phenomena and there was also a strong correlation between the estimated quality of the interaction metrics and the quality of the interaction metrics reported by the users of an assistive system. The proposed method is useful for automatically estimating the quality of interactions perceived by users and it could support the construction of speech-based systems to adapt and personalize content as well as the style of the interaction with the user.

Using acoustic paralinguistic information to assess the interaction quality in speech-based systems for elderly users
Pérez-Espinosa H., Martínez-Miranda J., Espinosa-Curiel I., Rodríguez-Jacobo J., Avila-George H
Revista
2016
A Mobile Platform for Remote Monitoring of Water Quality on Live Fish Transport Containers: Lessons Learned
Ismael Espinosa Curiel, Humberto Pérez Espinosa, Josué González Gonzáez, and Josefina Rodríguez Jacobo
Congreso
2016
LIGA
Congreso:

We provide an in-depth study of building a mobile
sensor platform for real-time remote monitoring of water
quality in live fish transport containers installed in transport
vehicles. From a case study, we identified a set of challenges
and system requirements that cover the hardware design of
the sensors nodes; the storage, display and security of data;
and the capabilities for remote data access and management. A
system architecture is proposed to address these requirements.
The currently deployed network consists of two elements:
the Mobile Remote Monitoring Platform (MRMP), and the
Central Monitoring Platform (CMP). The MRMP have eight
sensor nodes, a sink node, and a mobile application. The CMP
have a remote monitoring software and a database. From the
design, development, and testing of this monitoring platform,
we identified several important areas for further work. They
are related to the design, implementation and interconnection
of sensor nodes; the energy supply; the mobile application;
control facilities; the integration of platform with the business

processes, and the fish health monitoring.

A Mobile Platform for Remote Monitoring of Water Quality on Live Fish Transport Containers: Lessons Learned
Ismael Espinosa Curiel, Humberto Pérez Espinosa, Josué González Gonzáez, and Josefina Rodríguez Jacobo
Congreso
A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major Depression
Adrián Bresó, Juan Martínez-Miranda, Elies Fuster-García, Juan Miguel García-Gómez
Revista
2016
LIGA
Revista: International Journal of Human-Computer Studies
A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major Depression
Adrián Bresó, Juan Martínez-Miranda, Elies Fuster-García, Juan Miguel García-Gómez
Revista
A two-stage algorithm for combinatorial testing
Himer Avila George, Idelfonso Izquierdo Marquez
Revista
2016
LIGA
Resumen

Covering arrays are combinatorial structures which have applications in fields like software testing and hardware Trojan detection. In this paper we proposed a two-stage simulated annealing algorithm to construct covering arrays. The proposed algorithm is instanced in this paper through the construction of ternary covering arrays of strength three. We were able to get 579 new upper bounds. In order to show the generality of our proposal, we defined a new benchmark composed of 25 instances of MCAs taken from the literature, all instances were improved.

A two-stage algorithm for combinatorial testing
Himer Avila George, Idelfonso Izquierdo Marquez
Revista
Reacciones Afectivas en Interacciones Niño-Robot: Recopilación y Análisis de Datos"
Juan Martínez-Miranda, Humberto Pérez-Espinosa, Luis Villaseñor- Pineda, Carlos A. Reyes-García, Ismael Espinosa-Curiel, Himer Ávila- George y Josefina Rodríguez-Jacobo
Revista
2016
LIGA
Revista: Komputer Sapiens
Reacciones Afectivas en Interacciones Niño-Robot: Recopilación y Análisis de Datos"
Juan Martínez-Miranda, Humberto Pérez-Espinosa, Luis Villaseñor- Pineda, Carlos A. Reyes-García, Ismael Espinosa-Curiel, Himer Ávila- George y Josefina Rodríguez-Jacobo
Revista
Tuning the Parameters of a Convolutional Artificial Neural Network by Using Covering Arrays
H. Pérez-Espinosa, H. Avila- George, J. Rodríguez-Jacobo, H.A. Cruz-Mendoza, J.Martínez-Miranda, and I. Espinosa-Curiel
Congreso
2016
Congreso: Mexican International Conference on Artificial Intelligence (MICAI)
Tuning the Parameters of a Convolutional Artificial Neural Network by Using Covering Arrays
H. Pérez-Espinosa, H. Avila- George, J. Rodríguez-Jacobo, H.A. Cruz-Mendoza, J.Martínez-Miranda, and I. Espinosa-Curiel
Congreso
Understanding SPI in small organizations: a study of Mexican software enterprises
Ismael Edrein Espinosa‐Curiel Josefina Rodríguez‐Jacobo José Alberto Fernández‐Zepeda
Revista
2016
LIGA
Revista: Software:Evolution and process
Resumen

Software process improvement (SPI) has become one of the main strategies employed by small software enterprises to reduce their development costs or to increase the quality of their products and their development speed. Recent studies show that many small organizations still struggle to implement SPI initiatives successfully. One of the main problems with small organizations is that they usually lack the knowledge and practical experience about the human, social, and organizational phenomena associated with SPI initiatives and their effects. The objective of this paper is to present a grounded action research study that investigated SPI initiatives conducted by 10 Mexican small enterprises. The main product of this study is an initial theoretical framework that attempts to explain the effects of SPI initiatives in small organizations. We concluded that SPI initiatives affect organizational elements (i.e., structure, culture, organizational climate, projects) and human resources (i.e., employees and managers), and vice versa, and these elements are highly interrelated. Therefore, small enterprises need comprehensive SPI strategies that consider, in an integrated way, changes in processes, organizational elements, and human resources. SPI practitioners can use the results of this study to define more efficient and effective strategies to implement SPI initiatives in small organizations.

Understanding SPI in small organizations: a study of Mexican software enterprises
Ismael Edrein Espinosa‐Curiel Josefina Rodríguez‐Jacobo José Alberto Fernández‐Zepeda
Revista
Usability and acceptability assessment of an empathic virtual agent to prevent major depression
A. Bresó, J. Martínez-Miranda, C. Botella, R. M. Baños, and J. M. García-Gómez1
Revista
2016
LIGA
Revista: Expert Systems
Usability and acceptability assessment of an empathic virtual agent to prevent major depression
A. Bresó, J. Martínez-Miranda, C. Botella, R. M. Baños, and J. M. García-Gómez1
Revista
2015
A Branch & Bound Algorithm to Derive a Direct Construction for Binary Covering Arrays
Himer Avila George, Idelfonso Izquierdo Marquez, Aldo Gonzalez-Gomez
Capítulo de libro
2015
LIGA
Resumen

Covering arrays are used in testing deterministic systems where failures occur as a result of interactions among subsystems. The goal is to reveal if any interaction induces a failure in the system. Application areas include software and hardware testing. A binary covering arrayCA(N;t,k,2) is an N×kN×k array over the alphabet {0,1}{0,1} with the property that each set of tcolumns contains all the 2t2t possible t-tuples of 0's and 1's at least once. In this paper we propose a direct method to construct binary covering arrays using an specific interpretation of binomial coefficients: a binomial coefficient with parameters k and r will be interpreted as the set of all the k-tuples from {0,1}{0,1} having r ones and k−rk−r zeroes. For given values of k and t, the direct method uses an explicit formula in terms of both k and t to provide a covering array CA(N;t,k,2)expressed as the juxtaposition of a set of binomial coefficients; this covering array will be of the minimum size that can be obtained by any juxtaposition of binomial coefficients. In order to derive the formula, a Branch & Bound (B&B) algorithm was first developed; the B&B algorithm provided solutions for small values of k and t that allowed the identification of the general pattern of the solutions. Like others previously reported methods, our direct method finds optimal covering arrays for k=t+1k=t+1 and k=t+2k=t+2; however, the major achievement is that nine upper bounds were significantly improved by our direct method, plus the fact that the method is able to set an infinite number of new upper bounds for t≥7t≥7 given that little work has been done to compute binary covering arrays for general values of k and t.

A Branch & Bound Algorithm to Derive a Direct Construction for Binary Covering Arrays
Himer Avila George, Idelfonso Izquierdo Marquez, Aldo Gonzalez-Gomez
Capítulo de libro
A New Algorithm for Post-Processing Covering Arrays
Carlos Lara-Alvarez / Himer Avila-George
Revista
2015
LIGA
Revista: Advanced Computer Science and Applications
A New Algorithm for Post-Processing Covering Arrays
Carlos Lara-Alvarez / Himer Avila-George
Revista
Automatic Classification of Context in Induced Barking
Humberto P ́erez-Espinosa1, Jos ́e Mart ́ın P ́erez-Mart ́ınez2, Jos ́e A ́ngel Dur ́an-Reynoso2, and Ver ́onica Reyes-Meza3
Congreso
2015
LIGA
Congreso:
Automatic Classification of Context in Induced Barking
Humberto P ́erez-Espinosa1, Jos ́e Mart ́ın P ́erez-Mart ́ınez2, Jos ́e A ́ngel Dur ́an-Reynoso2, and Ver ́onica Reyes-Meza3
Congreso
Construction of Test-Suites
Himer Ávila-George/José Torres-Jiménez
Libro
2015
Libro:
Resumen

A good strategy to test a software component involves the generation of the whole set of cases that participate in its operation. While testing only individual values may not be enough, exhaustive testing of all possible combinations is not always feasible. An alternative technique to accomplish this goal is called combinatorial testing. Combinatorial testing is a method that can reduce costs and increase the effectiveness of software testing for many applications. It is based on constructing functional test-suites of economical size, which provide coverage of the most prevalent configurations. Covering arrays are combinatorial objects, which have been applied to do functional tests of software components. The use of covering arrays allows testing all the interactions, of a given size, among the input parameters using the minimum number of test cases.

In this book, an overview of software testing is presented; the main methods to construct test-suites using combinatorial objects are listed; finally, we propose a new strategy to construct test-suites using a Grid/Parallel approach.

Construction of Test-Suites
Himer Ávila-George/José Torres-Jiménez
Libro
Fusing actigraphy signals for outpatient monitoring
E. Fuster-García, A. Bresó, J.Martínez-Miranda, J Rosell-Ferrer, C. Matheson, J. M. García-Gómez
Revista
2015
LIGA
Revista: Information Fusion
Resumen

Actigraphy devices have been successfully used as effective tools in the treatment of diseases such as sleep disorders or major depression. Although several efforts have been made in recent years to develop smaller and more portable devices, the features necessary for the continuous monitoring of outpatients require a less intrusive, obstructive and stigmatizing acquisition system. A useful strategy to overcome these limitations is based on adapting the monitoring system to the patient lifestyle and behavior by providing sets of different sensors that can be worn simultaneously or alternatively. This strategy offers to the patient the option of using one device or other according to his/her particular preferences. However this strategy requires a robust multi-sensor fusion methodology capable of taking maximum profit from all of the recorded information. With this aim, this study proposes two actigraphy fusion models including centralized and distributed architectures based on artificial neural networks. These novel fusion methods were tested both on synthetic datasets and real datasets, providing a parametric characterization of the models' behavior, and yielding results based on real case applications. The results obtained using both proposed fusion models exhibit good performance in terms of robustness to signal degradation, as well as a good behavior in terms of the dependence of signal quality on the number of signals fused. The distributed and centralized fusion methods reduce the mean averaged error of the original signals to 44% and 46% respectively when using simulated datasets. The proposed methods may therefore facilitate a less intrusive and more dependable way of acquiring valuable monitoring information from outpatients.

Fusing actigraphy signals for outpatient monitoring
E. Fuster-García, A. Bresó, J.Martínez-Miranda, J Rosell-Ferrer, C. Matheson, J. M. García-Gómez
Revista
Recognition of Paralinguistic Information in Spoken Dialogue Systems for Elderly People
Humberto Pérez-Espinosa and Juan Mart ́ınez-Miranda
Capítulo de libro
2015
LIGA
Recognition of Paralinguistic Information in Spoken Dialogue Systems for Elderly People
Humberto Pérez-Espinosa and Juan Mart ́ınez-Miranda
Capítulo de libro
Search-Based Software Engineering to Construct Binary Test-Suites
Jose Torres-Jimenez and Himer Avila-George
Capítulo de libro
2015
LIGA
Libro: Search-Based Software Engineering to Construct Binary Test-Suites
Resumen

Abstract Search-based software engineering is the application of optimization
techniques in solving software engineering problems. One challenge to testing
software systems is the effort involved in creating test suites that will systematically
test the system and reveal faults in an effective manner. Given the importance of the
software testing phase, a specific subarea called search-based software testing has
become increasingly important. This paper presents a search-based software testing
tool (SBSTT), for constructing test suites. Through the use of SBSTT we were able
to find 370 new upper bounds for binary test suites.

Search-Based Software Engineering to Construct Binary Test-Suites
Jose Torres-Jimenez and Himer Avila-George
Capítulo de libro
Sistemas Interactivos de ayuda al tratamiento de trastornos afectivos: importancia de reconocer y expresar las emociones adecuadas
Juan Martínez-Miranda, Humberto Pérez-Espinosa y Luis Villaseñor-Pineda
Revista
2015
LIGA
Revista: Komputer Sapiens

De acuerdo con la Organización Mundial de la Salud

(OMS), en todo el mundo alrededor de 450 millones
de personas padecen trastornos mentales y de conducta;
y se estima que una de cada cuatro personas desarrollará
uno o más de estos trastornos en el transcurso de
su vida. Cinco de las diez causas principales de discapacidad
y muerte prematura a nivel mundial se deben
a condiciones psiquiátricas. A pesar de que dichos trastornos
son un importante problema de salud pública a
nivel mundial, en la gran mayoría de países muchos de
sus ciudadanos no reciben un tratamiento adecuado que
les permita tener una recuperación completa.

Sistemas Interactivos de ayuda al tratamiento de trastornos afectivos: importancia de reconocer y expresar las emociones adecuadas
Juan Martínez-Miranda, Humberto Pérez-Espinosa y Luis Villaseñor-Pineda
Revista
2014
Actigraphy Pattern Analysis For Outpatient Monitoring
E. Fuster-García, A. Bresó, J. Martínez-Miranda, J. M. García-Gómez
Capítulo de libro
2014
LIGA
PDF
Resumen

The actigraphy is a cost-effective method for assessing specific sleep disorders such as diagnosing insomnia, circadian rhythm disorders, or excessive sleepiness. Due to recent advances in wireless connectivity and motion activity sensors, the new actigraphy devices allow the non-intrusive and non-stigmatizing monitoring of outpatients for weeks or even months facilitating treatment outcome measure in daily life activities. This possibility has propitiated new studies suggesting the utility of actigraphy to monitor outpatients with mood disorders such as major depression, or patients with dementia. However, the full exploitation of data acquired during the monitoring period requires the use of automatic systems and techniques that allow the reduction of inherent complexity of the data, the extraction of most
informative features, and the interpretability and decision-making. In this study we purpose a set of techniques for actigraphy patterns analysis for
outpatient monitoring. These techniques include actigraphy signal pre-processing, quantification, nonlinear registration, feature extraction, detection of anomalies, and pattern visualization. In addition, techniques for daily actigraphy signals modelling and simulation are included to facilitate the development and test of new analysis techniques in controlled scenarios.

Actigraphy Pattern Analysis For Outpatient Monitoring
E. Fuster-García, A. Bresó, J. Martínez-Miranda, J. M. García-Gómez
Capítulo de libro
Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition: INAOE-BUAP's Participation at AVEC'14 Challenge Depression
Pérez-Espinosa, Humberto; Escalante-Balderas, Hugo Jair; Villaseñor-Pineda, Luis; Montes-y-Gómez, Manuel; Pinto-Avedaño, David; Reyez-Meza, Veronica
Congreso
2014
LIGA
Congreso: International Workshop on Audio/Visual Emotion Challenge

Depression is a disease that affects a considerable portion of the world population. Severe cases of depression interfere with the common live of patients, for those patients a strict monitoring is necessary in order to control the progress of the disease and to prevent undesired side effects. A way to keep track of patients with depression is by means of online monitoring via human-computer-interaction. The AVEC'14 challenge aims at developing technology towards the online monitoring of depression patients. This paper describes an approach to depression recognition from audiovisual information in the context of the AVEC'14 challenge. The proposed method relies on an effective voice segmentation procedure, followed by segment-level feature extraction and aggregation. Finally, a meta-model is trained to fuse mono-modal information. The main novel features of our proposal are that (1) we use affective dimensions for building depression recognition models; (2) we extract visual information from voice and silence segments separately; (3) we consolidate features and use a meta-model for fusion. The proposed methodology is evaluated, experimental results reveal the method is competitive.

Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition: INAOE-BUAP's Participation at AVEC'14 Challenge Depression
Pérez-Espinosa, Humberto; Escalante-Balderas, Hugo Jair; Villaseñor-Pineda, Luis; Montes-y-Gómez, Manuel; Pinto-Avedaño, David; Reyez-Meza, Veronica
Congreso
Leveraging Adaptive Sessions Based on Therapeutic Empathy Through a Virtual Agent
A. Bresó, J. Martínez-Miranda, J. M. García-Gómez
Congreso
2014
LIGA
PDF
Congreso: 6th. International Conference on Agents and Artificial Intelligence (ICAART 2014)
Resumen

This Doctoral Consortium paper outlines the author's proposed research for the improvement of the Human-Agent Interaction (HAI) applied to the computerised based treatment of Major Depression. In patients with chronic conditions such as Major Depression, the non-adherence to the treatment is a serious problem that increases the economic and clinical burden, and worsens the clinical status of the patient. The research work presented extends the work done in the previous author's MSc Thesis and promotes a better adherence to the treatment through two main contributions: (1) planning a flexible, personalized and adaptive daily interactive sessions, and (2) generating an adequate emotional response in a Virtual Agent used as the main system's interface based on a modelling of Therapeutic Empathy.

Leveraging Adaptive Sessions Based on Therapeutic Empathy Through a Virtual Agent
A. Bresó, J. Martínez-Miranda, J. M. García-Gómez
Congreso
Look on the Bright Side: A Model of Cognitive Change in Virtual Agents
J. Martínez-Miranda, A. Bresó, J. M. García-Gómez
Congreso
2014
LIGA
PDF
Congreso: 14th. International Conference on Inteligent Virtual Agents (IVA 2014)
Resumen

The modelling of empathic reactions in virtual agents has been recognised as a key aspect to improve agent-user relationship. Empathy is particularly important in a virtual agent used in computer-based psychotherapy applications. From a clinical perspective, it is more useful to produce therapeutic-empathy responses in the agent and not only natural empathic reactions as response to patient's inputs. Based on Gross's theory of emotion regulation, this paper presents a model of cognitive change used to reappraise with a more positive perspective those negative situations reported by the user and provide an adequate emotional reaction during the interaction. An initial evaluation of the model is also presented and the further work is described.

Look on the Bright Side: A Model of Cognitive Change in Virtual Agents
J. Martínez-Miranda, A. Bresó, J. M. García-Gómez
Congreso
Modelling Two Emotion Regulation Strategies as Key Features of Therapeutic Empathy
J. Martínez-Miranda, A. Bresó, J. M. García-Gómez
Capítulo de libro
2014
LIGA
PDF
Resumen

Computational models of affective processes have allowed the construction of synthetic characters able to produce empathic behaviours. The use of empathy, as a strategy to enhance engagement and cooperation with human pairs has proved good results in different application domains. Mental care is a particular area where the use of empathic virtual characters would offer several advantages facilitating the self-treatment management. Empathic responses in counselling and psychotherapy differ from "natural" empathy produced in everyday situations. Therapeutic empathy requires an emotional involvement of the therapist with the patient and an emotional detachment for a more objective appraisal of the situation. This paper introduces a model of emotion regulation as the first steps to get therapeutic empathy responses in a virtual agent constructed to support the treatment of major depression. The modelling of two specific strategies of emotion regulation based on Gross theory (cognitive change and response modulation) is described.

Modelling Two Emotion Regulation Strategies as Key Features of Therapeutic Empathy
J. Martínez-Miranda, A. Bresó, J. M. García-Gómez
Capítulo de libro
Software Process Improvement in Small Organizations: A Knowledge-Management Perspective
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda, Ulises Gutiérrez Osorio
Capítulo de libro
2014
LIGA
Capítulo de libro: Capítulo 11
Resumen

Recently, many micro and small-sized enterprises (MSEs) have implemented a model-based Software. Process Improvement (SPI) initiative. An initiative like this is a knowledge-intensive activity that uses and creates knowledge related to multiple areas (SPI knowledge) that should be managed. However, MSEs do not usually manage their SPI knowledge, which results in its erosion and eventual loss. This chapter discusses the importance of Knowledge Management (KM) for those MSEs that are implementing an SPI initiative. It also presents the knowledge created or required to accomplish the implementation of this type of initiative. Finally, it discusses the characteristics that a software tool should have to effectively support this KM process.

Software Process Improvement in Small Organizations: A Knowledge-Management Perspective
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda, Ulises Gutiérrez Osorio
Capítulo de libro
2013
A metaheuristic approach for constructing functional test-suites
Himer Avila-George; Jose Torres-Jimenez - Vicente Hernández; Loreto Gonzalez-Hernandez
Revista
2013
LIGA
PDF
Revista: IET Software
Resumen

This study presents a metaheuristic approach based on a simulated annealing (SA) algorithm for constructing Mixed Covering Arrays. This algorithm incorporates several distinguishing features, including an efficient heuristic to generate good quality initial solutions, and a compound neighbourhood function that combines two carefully designed neighbourhood functions. The experimental design involved a benchmark reported in the literature and two real cases of software components. The experimental evidence showed that the SA algorithm equals or improves the obtained results by other approaches reported in the literature, and also finds the optimal solution in some of the solved cases.

A metaheuristic approach for constructing functional test-suites
Himer Avila-George; Jose Torres-Jimenez - Vicente Hernández; Loreto Gonzalez-Hernandez
Revista
Creation of Creative Work Teams using Multi-Agent based Social Simulation
A. Bresó, A. Pérez, J. Juan-Albarracín, J. Martínez-Miranda, M. Robles, J. M. García-Gómez
Congreso
2013
PDF
Congreso: 5th. International Conference on Agents and Artificial Intelligence
Resumen

Over the past decades, advances in Artificial Intelligence (AI) techniques have investigated the modelling of complex systems. In particular, the use of Multi-Agent Systems (MAS) opened new possibilities for studying different domains using social simulation. In the present work we have implemented and empirically evaluated a Multi-Agent Based Social Simulation (MABSS) system to support the formation of creative work teams. Based on existent psychological and organizational creativity studies, we have modelled a set of personal characteristics and contextual factors to represent and analyse their influence on creativity at both: the individual and the group level. The obtained initial results were significantly better than the results obtained with a pure stochastic model (average improvement of 8.2%). Additionally, we empirically confirm some hypothesis about group formation from the organizational studies.

Creation of Creative Work Teams using Multi-Agent based Social Simulation
A. Bresó, A. Pérez, J. Juan-Albarracín, J. Martínez-Miranda, M. Robles, J. M. García-Gómez
Congreso
Managing Data in Help4Mood
M. K. Wolters, J. Martínez-Miranda, S. Estévez, H. F. Hastie, C. Matheson
Revista
2013
LIGA
Revista: EAI Endorsed Transactions on Ambient Systems
Resumen

Help4Mood is a system that supports the treatment of people with depression in the community. It collects rich cognitive, psychomotor, and motor data through a Personal Monitoring System and a Virtual Agent, which is then analysed by a Decision Support System; analysis results are fed back to patients and their treating clinicians. In this paper, we describe how the complex data is managed and discuss ethical issues. Data is stored in functional units that correspond to treatment relevant entities. Custom XML DTDs are defined for each unit, which are used to exchange information between system components. As far as possible, observations and findings are coded using SNOMED CT to ensure interoperability with other applications such as Electronic Health Records.

Managing Data in Help4Mood
M. K. Wolters, J. Martínez-Miranda, S. Estévez, H. F. Hastie, C. Matheson
Revista
2012
Acoustic feature selection and classification of emotions in speech using a 3d continuous emotion model
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Revista
2012
LIGA
PDF
Revista: Biomedical Signal Processing and Control
Resumen

In this paper we report the results obtained from experiments with a database of emotional speech in English in order to find the most important acoustic features to estimate Emotion Primitives which determine the emotional content on speech. We are interested in exploiting the potential benefits of continuous emotion models, so in this paper we demonstrate the feasibility of applying this approach to annotation of emotional speech and we explore ways to take advantage of this kind of annotation to improve the automatic classification of basic emotions.

Acoustic feature selection and classification of emotions in speech using a 3d continuous emotion model
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Revista
Construction of orthogonal arrays of index unity using logarithm tables for galois fields
Jose Torres-Jimenez; Himer Avila-George; Nelson Rangel-Valdez; Loreto Gonzalez-Hernandez
Capítulo de libro
2012
LIGA
Libro: Cryptography and Security in Computing
Resumen

This chapter proposes an efficient implementation for the Bush's construction (Bush, 1952) of OAs of index unity, based on the use of logarithm tables for Galois Fields. This is an application of the algorithm of Torres-Jimenez et al. (2011). The motivation of this research work born from the applications of OAs in cryptography as shown by Hedayat et al. (1999). Also, it is discussed an alternative use of the logarithm table algorithm for the construction of cyclotomic matrices to construct CAs (Colbourn, 2010).

Construction of orthogonal arrays of index unity using logarithm tables for galois fields
Jose Torres-Jimenez; Himer Avila-George; Nelson Rangel-Valdez; Loreto Gonzalez-Hernandez
Capítulo de libro
Knowledge Management in Software Process Improvement Initiatives in Small Organizations
Josefina Rodríguez Jacobo, Ismael Edrein Espinosa Curiel, Ulises Gutiérrez Osorio, Violeta Ocegueda Miramontes, José Alberto Fernández Zepeda
Congreso
2012
Congreso: EuroSPI
Resumen

In recent years, an increasing number of micro-sized and small-sized enterprises (MSEs) started a model-based Software Process Improvement (SPI) initiative. These initiatives are knowledge intensive activities that use and create knowledge related to multiple areas (SPI knowledge); however, very often MSEs do not manage their SPI knowledge causing its erosion and eventual lost. We performed a case study with five Mexican MSEs to analyze their SPI knowledge management process. We integrated the resulting information and created the SPI knowledge management system, Sharebox. Finally, to study the adoption of this system, we performed five interviews and two empirical studies. Preliminary results show that Share-box is relevant in SPI initiatives, but several barriers limit its adoption.

Knowledge Management in Software Process Improvement Initiatives in Small Organizations
Josefina Rodríguez Jacobo, Ismael Edrein Espinosa Curiel, Ulises Gutiérrez Osorio, Violeta Ocegueda Miramontes, José Alberto Fernández Zepeda
Congreso
New bounds for ternary covering arrays using a parallel simulated annealing
Himer Avila-George; Jose Torres-Jimenez; Vicente Hernández
Revista
2012
LIGA
Revista: Mathematical Problems in Engineering
Resumen

In this paper, there are three parallel approaches for simulated annealing: the independent, semi-independent, and cooperative searches are applied to the covering arrays construction problem. The empirical evidence supported by statistical analysis indicates that cooperative approach offers the best execution times and the same bounds as the independent and semi-independent approaches. Extensive experimentation was carried out, using 182 well-known benchmark instances of ternary covering arrays, for assessing its performance with respect to the best-known bounds reported previously. The results show that cooperative approach attains 134 new bounds and equals the solutions for other 29 instances.

New bounds for ternary covering arrays using a parallel simulated annealing
Himer Avila-George; Jose Torres-Jimenez; Vicente Hernández
Revista
Organizing data quality assessment of shifting biomedical data
C. Sáez, J. Martínez-Miranda, M. Robles, J. M. García-Gómez
Congreso
2012
LIGA
PDF
Congreso: The 24th Medical Informatics Conference
Resumen

Low biomedical Data Quality (DQ) leads into poor decisions which may affect the care process or the result of evidence-based studies. Most of the current approaches for DQ leave unattended the shifting behaviour of data underlying concepts and its relation to DQ. There is also no agreement on a common set of DQ dimensions and how they interact and relate to these shifts. In this paper we propose an organization of biomedical DQ assessment based on these concepts, identifying characteristics and requirements which will facilitate future research. As a result, we define the Data Quality Vector compiling a unified set of DQ dimensions (completeness, consistency, duplicity, correctness, timeliness, spatial stability, contextualization, predictive value and reliability), as the foundations to the further development of DQ assessment algorithms and platforms.

Organizing data quality assessment of shifting biomedical data
C. Sáez, J. Martínez-Miranda, M. Robles, J. M. García-Gómez
Congreso
Supercomputing and Grid computing on the verification of covering arrays.
Himer Avila-George; Jose Torres-Jimenez; Nelson Rangel-Valdez; Abel Carrion; Vicente Hernández
Revista
2012
LIGA
Revista: The Journal of supercomputing
Resumen

In this paper, we present an algorithm for CA verification and its implementation details in three different computation paradigms: (a) sequential approach (SA); (b) parallel approach (PA); and (c) Grid approach (GA). Four different PAs were compared in their performance of verifying a matrix as a CA; the PA with the best performance was included in a different experimentation where the three paradigms, SA, PA, and GA were compared in a benchmark composed by 45 possible CA instances. The results showed the limitations of the different paradigms when solving the verification of CA problem, and points out the necessity of a Grid approach to solve the problem when the size of a CA grows.

Supercomputing and Grid computing on the verification of covering arrays.
Himer Avila-George; Jose Torres-Jimenez; Nelson Rangel-Valdez; Abel Carrion; Vicente Hernández
Revista
2011
A Competency Framework for the Stakeholders of a Software Process Improvement Initiative
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda
Congreso
2011
LIGA
Congreso: ACM
Resumen

The competencies (a set of specific knowledges, skills, attitudes and behaviors; e.g. stress handling, commitment, collaboration and identification of conflicts) of the employees of software organizations are a fundamental element for the success of a Software Process Improvement (SPI) initiative. We performed three case studies to identify the competencies required for the stakeholders in an SPI initiative. To identify these competencies, we observed the activities that each stakeholder performs and the interactions among them. We also identified the competencies that are required to perform those activities. We performed a classification of the identified competencies and integrated them into a framework. This framework defines the competencies for seven roles involved in an SPI initiative and defines the level of expertise required by each role for each competency. To evaluate the framework, we performed ten interviews and two empirical tests. Preliminary results show that this framework is relevant in SPI initiatives, the use of this framework can raise the awareness about the competencies, and it can support some SPI activities.

A Competency Framework for the Stakeholders of a Software Process Improvement Initiative
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda
Congreso
A framework for evaluation and control of the factors that influence the software process improvement in small organizations
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda
Revista
2011
LIGA
PDF
Revista: Journal of Software: Evolution and Process
Resumen

Today, many micro-sized and small-sized software enterprises (MSEs) have initiated a software process improvement (SPI) initiative to be more competitive in the software market. SPI initiatives in MSEs have not been entirely successful; in general, MSEs consider them a long, expensive, and difficult activity. One of the reasons of these results is that a large number of human, social, technical, and organizational factors influence these initiatives. MSEs require to control, mitigate, or solve these factors to succeed in their initiatives. However, because there is a lack of information regarding the characteristics and behavior of these factors in the context of the MSEs, SPI managers have limited information to design strategies to control these factors. This work proposes a framework of factors that influence SPI initiatives in MSEs and a methodology to evaluate and control these factors. This framework includes 132 factors grouped in six categories. Additionally, we specify their properties, their value scales, and the property values for each factor. SPI managers could use this framework to evaluate and control potential threats to SPI initiatives and to propose better SPI strategies. Copyright © 2011 John Wiley & Sons, Ltd.

A framework for evaluation and control of the factors that influence the software process improvement in small organizations
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda
Revista
Bilingual acoustic feature selection for emotion estimation using a 3d continuous model
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Congreso
2011
LIGA
PDF
Congreso: IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011)
Resumen

Emotions are complex human phenomena. Numberless researchers have attempted a variety of approaches to model these phenomena and to find the optimal set of emotion descriptors. In this paper, we search for the most appropriate acoustic features to estimate the emotional content in speech based on a continuous multi-dimensional model of emotions. We analyze a set of 6,920 features using the feature selection method known as Linear Forward Selection. We studied the importance of the features dividing them into groups and working with two databases, one in English and one in German to analyze the multi-lingual importance of features and to know if these features are important regardless of the language.

Bilingual acoustic feature selection for emotion estimation using a 3d continuous model
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Congreso
Dimods: aplicación al modelo MoProSoft
Josefina Rodríguez Jacobo, Ismael Edrein Espinosa Curiel, José Alberto Fernández Zepeda
Libro
2011
LIGA
Libro: Dimods: aplicación al modelo MoProSoft
Prólogo

El presente libro es producto de un trabajo de investigación realizado por el Grupo de Ingeniería de Software Enfocado en la Persona (GISEP) del Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE) y financiado parcialmente por el Fondo Mixto Baja California.

El objetivo de este libro es proporcionar una herramienta que facilite la enseñanza y el aprendizaje de aquellos procesos organizacionles complejos y difíciles de implementar: La herramienta que proponemos es una técnica de visualización llamada dimods. Esta técnica es muy versátil y, a pesar de que se originó con la idea de facilitar la implementación y adopción de ciertos procesos que utilizan las organizaciones de desarrollo de software para mejorar la calidad de sus productos, se puede utilizar en general para modelar eficazmente una gran variedad de procesos organizacionales.

Este libro está pensado para todas aquellas personas que requieran modelar gráficamente algún proceso organizacional. Muestra cómo los dimods pueden modelar algún proceso a distintos niveles de acercamiento y de detalle, tanto desde el punto de vista del proceso o desde el punto de vista de la persona involucrada en el proceso. Este libro incorpora una metodología sencilla de diseño y un ejemplo de tamaño considerable para que se pueda ver el modelado de procesos organizacionales reales.

Como este libro también incorpora un ejemplo completo de todos los procesos del modelo MoProSoft modelado por medio de dimods, también lo pueden utilizar los estudiantes y profesionales de las ciencias computacionales como una herramienta complementaria para aprender o enseñar el modelo MoProSoft. Creemos que por su utilidad y bajo costo, este libro no debería faltar en aquellas organizaciones que estén pensando en modificar sus procesos, y especialmente en aquellas organizaciones de desarrollo de software que estén planeando o estén llevando a cabo la implementación de MoProSoft.

Esperamos que este libro sea del agrado de los lectores y lo disfruten tanto cuando lo lean, como nosotros cuando lo escribimos. Agradecemos a todas las personas que participaron amablemente en el caso de estudio y que nos apoyaron con sus comentarios y hallazgos.

Para la elaboración de los diagramas que se incluyen en el presente libro se utilizaron los manuales de la Norma Mexicana NMX-I-059-NYCE-2005 (MoProSoft). Dado que uno de los objetivos que nos propusimos con la creación de este libro fue el de apoyar el proceso de apopción del modelo MoProSoft en las organizaciones de desarrollo de software, el lector debe de estar consiente que los manuales que proporciona la norma son indispensables para poder implementar dicho modelo. Nuestro libro se debe ver como un material adicional que tiene ciertas características visuales y pedagógicas que pueden ayudar a comprender mejor este modelo y por ningún motivo puede reemplazar a los manuales proporcionados por la norma.

Dimods: aplicación al modelo MoProSoft
Josefina Rodríguez Jacobo, Ismael Edrein Espinosa Curiel, José Alberto Fernández Zepeda
Libro
Emowisconsin: an emotional children speech database in mexican spanish
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Congreso
2011
LIGA
Congreso: Affective Computing and Intelligent Interaction
Resumen

The acquisition of naturalistic speech data and the richness of its annotation are very important to face the challenges of automatic emotion recognition from speech. This paper describes the creation of a database of emotional speech in the Spanish spoken in Mexico. It was recorded from children between 7 and 13 years old while playing a sorting card game with an adult examiner. The game is based on a neuropsychological test, modified to encourage dialogue and induce emotions in the player. The audio was segmented at speaker turn level and annotated with six emotional categories and three continuous emotion primitives by 11 human evaluators. Inter-evaluator agreement is presented for categorical and continuous annotation. Initial classification and regression experiments were performed using a set of 6,552 acoustic features.

Emowisconsin: an emotional children speech database in mexican spanish
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Congreso
MAXCLIQUE Problem Solved Using SQL
Jose Torres-Jimenez; Nelson Rangel-Valdez; Himer Avila-George; Loreto Gonzalez-Hernandez
Congreso
2011
PDF
Congreso: The Third International Conference on Advances in Databases, Knowledge, and Data Applications
Resumen

This paper aims to show that SQL queries can be used to solve a well-known combinatorial optimization problem, the Maximum Clique Problem (MAXCLIQUE). This problem arises in many real world applications as computer vision and pattern recognition or coding theory to mention some of them. A clique of a graph is a complete subgraph, i.e., a graph where every pair of vertices is an edge. The MAXCLIQUE problem searches for the clique of the largest cardinality in a graph (the one with the greatest number of nodes). We propose a model based on SQL queries to solve this problem. We test our models in 62 random instances. Results show that the use of simple queries can yield solutions for the MAXCLIQUE problem in an easy and accessible form.

MAXCLIQUE Problem Solved Using SQL
Jose Torres-Jimenez; Nelson Rangel-Valdez; Himer Avila-George; Loreto Gonzalez-Hernandez
Congreso
Modeling the Influence of Trust on Work Team Performance
J. Martínez-Miranda, J. Pavón
Revista
2011
LIGA
PDF
Revista: SIMULATION, Transactions of The Society for Modeling and Simulation International
Resumen

The selection of suitable people to make up a successful work team is not a trivial decision-making process, because of the diversity and complexity of the factors that influence individual and team performance. Teams are assembled by project managers using their experience and the information they have available (although this is frequently scarce, uncertain, and dynamic) about the personal and professional characteristics of potential team members. In this paper, we introduce an agent-based model developed to support this decision-making process where a virtual team can be configured using some selected characteristics of potential team members. Fuzzy sets and fuzzy rules are used to model the interaction between team members and a given set of tasks, generating statistical information that represents possible performance by team members. More specifically, the paper focuses on the concept of trust, an important social skill that influences performance at individual (team member) and global (work team) levels. We describe the implementation of an agent-based simulation system where the user can test different team configurations to compare performance and select the best possible work team for a given project. The evaluation and validation of the model was performed through face validity and historical data validation techniques, which are based on information collected from real work teams. The results show the suitability of the model as a helpful tool in the formation and configuration of work teams for specific scenarios.

Modeling the Influence of Trust on Work Team Performance
J. Martínez-Miranda, J. Pavón
Revista
The design and implementation of a novel security model for HealthAgents
Liang Xiao, Srinandan Dasmahapatra, Paul Lewis, Bo Hu, Andrew Peet, Alex Gibb, David Dupplaw, Madalina Croitoru, Francesc Estanyol, Juan Martínez-Miranda, Horacio González-Vélez, Magí lluch I Ariet
Revista
2011
LIGA
PDF
Revista: The Knowledge Engineering Review
Resumen

In this paper, we analyze the special security requirements for software support in health care and the HealthAgents system in particular. Our security solution consists of a link-anonymized data scheme, a secure data transportation service, a secure data sharing and collection service, and a more advanced access control mechanism. The novel security service architecture, as part of the integrated system architecture, provides a secure health-care infrastructure for HealthAgents and can be easily adapted for other health-care applications.

The design and implementation of a novel security model for HealthAgents
Liang Xiao, Srinandan Dasmahapatra, Paul Lewis, Bo Hu, Andrew Peet, Alex Gibb, David Dupplaw, Madalina Croitoru, Francesc Estanyol, Juan Martínez-Miranda, Horacio González-Vélez, Magí lluch I Ariet
Revista
The HealthAgents ontology: Knowledge representation in a distributed decision support system for brain tumours
Bo Hu, Madalina Croitoru, Roman Roset, David Dupplaw, Miguel Lurgi, Srinandan Dasmahapatra, Paul Lewis, Juan Martinez-Miranda, Carlos Saez
Revista
2011
LIGA
PDF
Revista: The Knowledge Engineering Review

In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of the information involved in the system and has been enriched by clinicians' requirements and data access restrictions. We present in detail the steps we have taken towards building our ontology starting from knowledge acquisition to data access and reasoning. We motivate our representational choices and show our results using domain examples used by clinical partners in HA.

The HealthAgents ontology: Knowledge representation in a distributed decision support system for brain tumours
Bo Hu, Madalina Croitoru, Roman Roset, David Dupplaw, Miguel Lurgi, Srinandan Dasmahapatra, Paul Lewis, Juan Martinez-Miranda, Carlos Saez
Revista
2010
A heuristic approach for constructing ternary covering arrays using trinomial coefficients
Jorge Martinez-Pena; Jose Torres-Jimenez; Nelson Rangel-Valdez; Himer Avila-George
Congreso
2010
LIGA
Congreso: Advances in Artificial Intelligence – IBERAMIA 2010
Resumen

This paper presents a simulated annealing (SA) algorithm for the construction of ternary covering arrays (CAs) using a trinomial coefficient representation. A ternary CA, denoted by CA(t, k, 3), is an N × k array where each N × t subarray contains each of the 3t combinations of symbols at least once. The construction of optimal CAs is, in general, an NP-complete problem. Many reported SA implementations use an N × k matrix representation for the CA construction. Instead of this, we represent ternary CAs using trinomial coefficients in order to reduce the search space for the SA algorithm.

A heuristic approach for constructing ternary covering arrays using trinomial coefficients
Jorge Martinez-Pena; Jose Torres-Jimenez; Nelson Rangel-Valdez; Himer Avila-George
Congreso
Competency Framework for Software Engineers
José Gamaliel Rivera Ibarra, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda, Miguel Angel Serrano Vargas
Congreso
2010
LIGA
Congreso: Competency Framework for Software Engineers
Resumen

One of the main concerns of the software industry is to develop the talent of its human resources, since the quality and innovation of its products and services depend to a great extent on the knowledge, the ability and the talent that software engineers apply in the software development process. A competency framework defines a set of knowledge, skills, and behaviors that professionals must have to excel in their careers. A competency framework facilitates the identification of training needs and guides the design of a professional development program. In this paper we propose a competency framework for software engineers, whose design is based on the activities and interactions that they perform during the software development process.

Competency Framework for Software Engineers
José Gamaliel Rivera Ibarra, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda, Miguel Angel Serrano Vargas
Congreso
Construction of logarithm tables for Galois Fields
Jose Torres-Jimenez; Nelson Rangel-Valdez; Ana Loreto Gonzalez-Hernandez; Himer Avila-George
Revista
2010
LIGA
Revista: International Journal of Mathematical Education in Science and Technology
Resumen

A branch of mathematics commonly used in cryptography is Galois Fields GF(p^n ). Two basic operations performed in GF(p^n) are the addition and the multiplication. While the addition is generally easy to compute, the multiplication requires a special treatment. A well-known method to compute the multiplication is based on logarithm and antilogarithm tables. A primitive element of a GF(p^n ) is a key part in the construction of such tables, but it is generally hard to find a primitive element for arbitrary values of p and n. This article presents a naive algorithm that can simultaneously find a primitive element of GF(p^n) and construct its corresponding logarithm and antilogarithm tables. The proposed algorithm was tested in GF(p^n) for several values of p and n; the results show a good performance, having an average time of 0.46 seconds to find the first primitive element of a given GF(p^n) for values of n = {2, 3, 4, 5, 8, 12} and prime values p between 2 and 97.

Construction of logarithm tables for Galois Fields
Jose Torres-Jimenez; Nelson Rangel-Valdez; Ana Loreto Gonzalez-Hernandez; Himer Avila-George
Revista
Features selection for primitives estimation on emotional speech
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Congreso
2010
LIGA
PDF
Congreso: IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
Resumen

This paper examines the importance of different groups of speech acoustic features in the estimation of emotional primitives which define a three-dimensional continuous model of emotions. A set of proposed features is extracted from a database of German spontaneous emotional speech. This features set tries to represent several aspects of emotional content in speech that have been discussed separately in other works. Features selection and dimensionality reduction techniques are applied to find the features subsets that best estimate the emotional primitives Valence, Activation and Dominance. Finally, the emotional primitives are estimated using different classifiers based on the proposed features getting better results than the ones previously reported on related works.

Features selection for primitives estimation on emotional speech
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.; Villaseñor-Pineda, Luis
Congreso
Graphical Technique to Support the Teaching/Learning Process of Software Process Reference Models
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda
Congreso
2010
LIGA
Congreso: EuroSPI 2010
Resumen

In this paper, we propose a set of diagrams to visualize software process reference models (PRM). The diagrams, called dimods, are the combination of some visual and process modeling techniques such as rich pictures, mind maps, IDEF and RAD diagrams. We show the use of this technique by designing a set of dimods for the Mexican Software Industry Process Model (MoProSoft). Additionally, we perform an evaluation of the usefulness of dimods. The result of the evaluation shows that dimods may be a support tool that facilitates the understanding, memorization, and learning of software PRMs in both, software development organizations and universities. The results also show that dimods may have advantages over the traditional description methods for these types of models.

Graphical Technique to Support the Teaching/Learning Process of Software Process Reference Models
Ismael Edrein Espinosa Curiel, Josefina Rodríguez Jacobo, José Alberto Fernández Zepeda
Congreso
Modelling human behaviour at work: an agent-based simulation to support the configuration of work teams
J. Martínez-Miranda
Tesis
2010
LIGA
Universidad: Universidad Complutense de Madrid
Resumen

The modelling and implementation of human behaviour into artificial systems have attracted the interest of several people from different disciplines given the natural complexity and multidisciplinary of this phenomenon. This type of models offers a great potential in a large set of domains including military applications, training and learning, e-health, and the representation of crisis and emergency situations among others. A particular interesting application is the modelling of human behaviour within groups. More specifically, the model of human behaviour in a work team would be used to analyse the specific dynamics behind individual and work team performance. The analysis of these dynamics then can be used as additional and useful information that supports the decision-making in the formation and configuration of real work teams in companies.

The work described in this thesis presents a novel agent-based simulation model that aims to support this decision-making process. This global objective is achieved through the modelling of the team candidates as software agents forming a virtual team. The configured virtual team then can be used to experiment with the internal and contextual factors that produce and direct the individual and work team performance. The real team candidates are modelled through a set of selected human characteristics that have been proved to influence human behaviour when making work activities in a work team. These characteristics include cognitive capabilities, emotional state, personality styles and social-related skills. Using the values in these attributes in combination with values represented in the attributes of project's tasks, the model produces statistical information that represents the possible performance of the teammembers over the assigned project. The theoretical background of the model is presented through a deep review of existing (mainly psychological, sociological and organisational) theories focused in the study of human behaviour within the particular context of teams.

The work presented in this thesis uses the findings from this theoretical research to implement the main characteristics of the proposed agent-based model and to further develop a usable software simulation tool. This tool has been used to validate the proposed model through the comparison of the work team's performance results generated by the simulation tool against the performance evaluation results of a real work team from a large company. The validation results and the identified open issues to improve the model are also presented in the final part of this thesis document.

Modelling human behaviour at work: an agent-based simulation to support the configuration of work teams
J. Martínez-Miranda
Tesis
2009
Detection of negative emotional state in speech with anfis and genetic algorithms
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.
Congreso
2009
LIGA
Congreso: 6th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications
Resumen

In this work we present the design of an Automatic Emotion Recognizer which tries to take advantage of three soft computing techniques: Neural Networks, Fuzzy Inference Systems and Genetic Algorithms in order to identify and classify emotions from speech signal. The classification is done between two emotional states: Negative and Idle. The emotion recordings used for this work belongs to the FAU AIBO database, where children interacting with Sony's pet robot Aibo were recorder. We propose and analyze the use of 18 acoustic features. A classification system based on ANFIS is implemented. Genetic Algorithms are used to select features and tune the ANFIS configuration settings. System implementation and some experimental results are shown.

Detection of negative emotional state in speech with anfis and genetic algorithms
Pérez-Espinosa, Humberto; Reyes-García, Carlos A.
Congreso
2004
Formación de grupos de desarrollo de software. Un enfoque psicosocial
Josefina Rodríguez Jacobo
Libro
2004
Libro: Formación de grupos de desarrollo de software. Un enfoque psicosocial
Prólogo

Al terminar de leer el libro que ahora presento, me evocó la imagen de un puente que une dos riberas y que a lo largo de la historia del hombre de la modernidad han avanzado separadas, cada una por su lado: el mundo de la razón técnica emparentada con las ciencias duras y el universo de la razón afectiva vinculada con las ciencias humanas, ciencias sociales o humanidades.

Los cimientos que sostienen el puente en las orillas son sólidos: por un lado, Josefina Rodríguez cuenta con una formación en física y en ciencias de la computación, por el otro en psicoterapia guestalt y psicoterapias existenciales. Su nivel, incuestionable: licenciatura, maestría y doctorado.

La obra deja ver que el hombre tiende a formar grupos y teóricamente se sabe que hay que alimentar la creación de los mismos, empero en la práctica se fomenta lo individual tal como lo expresan las palabras que aparecen en la introducción del escrito: "…el desarrollo tecnológico ha propiciado un ambiente competitivo en el que predomina el trabajo individual".

Este documento resaltar la importancia de revalorar lo grupal. No es posible caminar en una visión egoísta y terriblemente competitiva como la que se fomentó y se sigue propiciando en muchos lugares. Es necesario avanzar hacia una visión que privilegie lo grupal y lo colaborativo. Ese humanismo centrado en el yo generó un individualismo insostenible. Ya no se puede mantener la costumbre que postula el quehacer de grupo en su discurso y en su práctica ensalza las tareas individuales con lo que mata el valor del trabajo, ya que el aislamiento borra el sentido para qué se realiza una labor. El trabajo sólo tiene sentido a la luz de la comunidad a la que pertenece.

También era fundamental enfrentar una realidad: la celeridad que promueve la mirada técnica a través de su instrumento: la máquina, hasta el grado de la autoprogramación. Así pasó esta faena del quehacer artesanal al industrial y mostró además, gracias a la socialización del producto y el abaratamiento del mismo, que se fortaleció su expansión, lo cual obligó al productor a un tratamiento novedoso: se requiere el uso de técnicas y métodos adecuados para solucionar la enorme variedad de problemas que se derivan de las aplicaciones en donde se desarrollan sistemas de software de gran tamaño.

El avance en este terreno plantea algunos peligros que hay que enfrentar. La escritora los menciona sin tapujos y se desprende de su reflexión que resaltan tres errores de la administración: 1) olvida al ser humano, 2) no se comunica con el participante y le aporta una solución elegante para un problema equivocado, y 3) no presta atención al proceso y cae en un grave riesgo: arrojar métodos técnicos y herramientas eficaces al vacío. Descuella el peligro del desperdicio.

La autora unió su formación a favor de una tarea primordial, que en sus palabras reza así: "a través de mi experiencia he llegado a formular un modelo de intervención educativa para formar grupos de desarrollo de software". El objetivo de la obra aparece con toda claridad: determinar los elementos o factores que permiten generar una guía para la formación de un grupo de desarrollo de software. Sin lugar a dudas, una obra educativa. En esta perspectiva este libro es una aportación a la pedagogía, específicamente a la didáctica de la especialidad. La misión, que aparece documentada en esta obra, es una historia que se concreta desde finales de 1995 hasta 2002 con grupos controlados a través de técnicas de sensibilización. En el capítulo octavo plantea claramente qué tipo de grupo quiere construir y afirma que es reducido, que sus miembros están dispuestos a adoptar o intercambiar roles y funciones con flexibilidad, de acuerdo con un procedimiento y que disponen de habilidades para manejar un proceso socio-afectivo en un clima de respeto y confianza.

Una nueva señal apareció en el camino: la relevancia de lo emocional

A partir del avance de la razón técnica y su proyecto matemático de la naturaleza se expatriaron las emociones del mundo del hombre. El hombre del siglo veintiuno es hijo de más de quinientos años de un aprendizaje esforzado para mostrar su existencia a partir de la conciencia que piensa, y este pensar debe ser cierto, esto es claro y distinto. Este escrito muestra que puso la semilla para que vuelvan a florecer las emociones en el mundo de la vida y rescatar al hombre-máquina de la mirada técnica que lo atrapa y lo encajona. Este libro manifiesta la implementación de un diseño que fomenta la vivencia de las emociones sin descalificar la formalidad científica ni la fuerza de la lógica del pensamiento, y trata de alimentar la calidad en la ingeniería de software sin olvidar la vida que florece en los seres humanos que la alimentan.

Con esta investigación se puede plantear con precisión que el trabajo de software se encuentra dentro de los modelos de afán que requieren de una labor en grupo: son varias personas reunidas para alcanzar un fin determinado, existen ciertas normas para alcanzarlo, existen diferentes posiciones y roles con distintas tareas. La tierra en donde se sembró la simiente para la formación de estos grupos era un terreno fértil y disponible: el acceso al campo de estudio abrió sus puertas al sugerirse el curso de Ingeniería y Metodología de la Programación en el posgrado de Ciencias de la Computación en el Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE).

Para poder avanzar en el modelo del diseño, la creadora del modelo se basó en Kart Lewin, psicólogo de la guestalt como uno de los creadores de la teoría de grupos, y en la psicoterapia guestalt iniciada por Fritz Perls, Laura Perls y Paul Goodman, para fortalecer el desarrollo psicosocial de las personas que integran los grupos. Con estos dos enfoques teórico-prácticos se instrumentó el trabajo con los grupos que cubrió tres acciones: 1) técnicas de sensibilización hacia el estado anímico, el comportamiento, la observación de sus limitaciones y el establecimiento de fronteras, 2) sesiones terapéuticas, y 3) técnicas grupales para fortalecer el grupo.

El trabajo de grupo resultó significativamente valioso y permitió hacer acopio de una gran cantidad de técnicas que fomentaban la emergencia de la dinámica de grupo. La vida de un grupo avanzó en medio de esa didáctica novedosa de aprendizaje que facilitó el crecimiento de las personas en su vida emocional al mismo tiempo que lo hacían su pensamiento. Un buen número de estas técnicas grupales aparecen descritas por estas páginas y son una estupenda aportación para la labor docente de los catedráticos que deseen utilizarlas y ponerlas al servicio de sus estudiantes.

La Dra. Rodríguez fungió como facilitadora del grupo con orientación guestalt y dio testimonio de las características que les acompañan como la importancia que juegan en la conducción de los ejercicios creativos para propiciar el crecimiento de las personas, ser quien toma la iniciativa en la formación de los experimentos de aprendizaje para favorecer la intensificación de la vivencia y aumentar la conciencia de los estímulos verbales y las conductas de evitación, ser quien guía las acciones para favorecer las interacciones en el grupo, ser quien toma la batuta en correr riesgos ante la confrontación de los miembros del grupo, estar abierto a sus sentimientos personales y no ocultarse tras la máscara del profesional. La meta primordial de los guestaltistas es mostrarse auténticos en las vivencias con el grupo.

Con estos avances en los estudiantes en formación, se puede plantear que para enfrentar los conflictos hay que tomar en cuenta el enfoque personal y la óptica de la organización con su entorno. La encrucijada se cierra así: se enfrenta el conflicto de manera directa o se le evita. Es primordial estar conciente de la situación real y el único modo de hacerlo es conciliar lo personal con lo organizacional. El planteamiento es: ¿existe un costo personal?, ¿existe un costo organizacional?, ¿éstos pueden cuantificarse? Si las respuestas son sí, es preciso manejar el conflicto. Si no, se requiere realizar una nueva reflexión sobre los diferentes enfoques.

El enfoque guestalt fue un elemento clave en la capacitación de los estudiantes, ya que con su estilo de confrontación y hábil frustración, preparó a los formandos a enfrentar el conflicto de una manera creativa y no evadirse o huir de él. Aprender a pararse en sus propios pies les permitió poder levantar la frente y mirar cara a cara los conflictos y no esconder la cabeza bajo tierra. Estaban formados para afrontar el reto.

Finalmente las balaustradas que resguardan el puente por cada lado son el método fenomenológico y el método hermenéutico, y ambos quedan fuertemente amarrados por el método de teoría fundamentada en que la autora se ha vuelto experta y dejó solidamente expuesto que el fin de la misma es su énfasis en la generación de la teoría, faena que para la institución en donde labora, el producir teoría, es fundante del trabajo didáctico y operacional.

Esta obra es hija de un gran esfuerzo personal que llevó a Josefina Rodríguez a probar en ella misma las bondades del crecimiento personal, del esfuerzo por unir la labor intelectual con el quehacer del corazón, y a su vez, entrelazar sus dos profesiones: la computación y la psicoterapia. Este documento despierta la alborada con los primero rayos de luz para que las huellas del homo ratio y el homo amans se tomen de la mano y caminen en la misma dirección.

Invito a los lectores a seguir este diálogo transdisciplinario en el que los saberes del hombre se abrazan para poner sus avances al servicio de la persona.
Espero que el documento despliegue sus alas y el lector vuele por las nuevas posibilidades que despierta.

Miguel Jarquín

Formación de grupos de desarrollo de software. Un enfoque psicosocial
Josefina Rodríguez Jacobo
Libro