Learning Features by Experimentation in Chess. - Eduardo F. Morales 001 (EWSL, 1991)

A Knowledge-Based Framework for Learning, Applying and Consulting Engineering Procedures. - Pablo Roberto de Buen-Rodríguez; Eduardo F. Morales 001; Sunil Vadera (Intelligent Tutoring Systems, 1996)

Learning Structure from Data and Its Application to Ozone Prediction. - Luis Enrique Sucar; Joaquín Pérez-Brito; J. Carlos Ruiz-Suárez; Eduardo F. Morales 001 (Appl. Intell., 1997)

PAL: A Pattern-Based First-Order Inductive System. - Eduardo F. Morales 001 (Mach. Learn., 1997)

Distributed reinforcement learning for multiple objective optimization problems. - Carlos Eduardo Mariano; Eduardo F. Morales 001 (CEC, 2000)

Integrating Bayesian Networks with Logic Programs for Music. - Roberto Morales; Eduardo F. Morales 001; Luis Enrique Sucar (ICMC, 2000)

RuLess: A Method for the Acquisition and Simplification of Rules. - Pablo Roberto de Buen-Rodríguez; Eduardo F. Morales 001; Sunil Vadera (MICAI, 2000)

Probabilistic Model-Based Diagnosis. - Pablo H. Ibargüengoytia; Luis Enrique Sucar; Eduardo F. Morales 001 (MICAI, 2000)

A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning. - Carlos Eduardo Mariano; Eduardo F. Morales 001 (MICAI, 2000)

Learning Probabilistic Grid-Based Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors. - Leonardo Romero; Eduardo F. Morales 001; Luis Enrique Sucar (MICAI, 2000)

A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems. - Carlos Eduardo Mariano; Eduardo F. Morales 001 (IBERAMIA-SBIA, 2000)

A Robust Exploration and Navigation Approach for Indoor Mobile Robots Merging Local and Global Strategies. - Leonardo Romero; Eduardo F. Morales 001; Luis Enrique Sucar (IBERAMIA-SBIA, 2000)

DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. - Carlos Eduardo Mariano; Eduardo F. Morales 001 (ECML, 2001)

An Exploration and Navigation Approach For Indoor Mobile Robots Considering Sensor's Perceptual Limitations. - Leonardo Romero; Eduardo F. Morales 001; Luis Enrique Sucar (ICRA, 2001)

An Hybrid Approach to Solve the Global Localization Problem For Indoor Mobile Robots Considering Sensorms Perceptual Limitations. - Leonardo Romero; Eduardo F. Morales 001; Luis Enrique Sucar (IJCAI, 2001)

SICIB: An Interactive Music Composition System Using Body Movements. - Roberto Morales-Manzanares; Eduardo F. Morales 001; Roger B. Dannenberg; Jonathan Berger (Comput. Music. J., 2001)

Data Integration Using the MONIL Language. - Mónica Larre; José Torres-Jiménez; Eduardo F. Morales 001; Sócrates Torres (ICEIS, 2002)

Mining Road Accidents. - Eduardo F. Morales 001; Dulce Ma. Heredia; Andres F. Rodriguez (MICAI, 2002)

An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors. - Leonardo Romero; Eduardo F. Morales 001; Luis Enrique Sucar (MICAI, 2002)

Solving the Global Localization Problem for Indoor Mobile Robots. - Leonardo Romero; Eduardo F. Morales 001; Luis Enrique Sucar (CIARP, 2003)

Learning to fly by combining reinforcement learning with behavioural cloning. - Eduardo F. Morales 001; Claude Sammut (ICML, 2004)

How Does the Hue Contribute to Construct Better Colour Features? - Giovani Gomez Estrada; Eduardo F. Morales 001; Huajian Gao (MICAI, 2004)

Feature Selection-Ranking Methods in a Very Large Electric Database. - Manuel Mejía-Lavalle; Guillermo Rodríguez-Ortiz; Gustavo Arroyo-Figueroa; Eduardo F. Morales 001 (MICAI, 2004)

Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network. - Carlos E. Mariano-Romero; Víctor Alcocer-Yamanaka; Eduardo F. Morales 001 (EMO, 2005)

Combining audio and gestures for a Real-Time Improviser. - Roberto Morales; Eduardo F. Morales 001; David Wessel (ICMC, 2005)

Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies. - Manuel Mejía-Lavalle; Eduardo F. Morales 001 (ICDM, 2006)

Solving Hybrid Markov Decision Processes. - Alberto Reyes; Luis Enrique Sucar; Eduardo F. Morales 001; Pablo H. Ibargüengoytia (MICAI, 2006)

Abstraction and Refinement for Solving Continuous Markov Decision Processes. - Alberto Reyes; Pablo H. Ibargüengoytia; Luis Enrique Sucar; Eduardo F. Morales 001 (Probabilistic Graphical Models, 2006)

El Lenguaje MONIL, una Alternativa para la Integración de Datos. - Mónica Larre; José Torres-Jiménez; Eduardo F. Morales 001; Juan Frausto Solís; Sócrates Torres (Computación y Sistemas, 2006)

Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning. - Octavio Gómez; Jesús A. González; Eduardo F. Morales 001 (CIARP, 2007)

Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers. - Heidy Marisol Marín-Castro; Luis Enrique Sucar; Eduardo F. Morales 001 (CIARP, 2007)

TIA-INAOE's Participation at ImageCLEF 2007. - Hugo Jair Escalante; Carlos A. Hernández 001; Aurelio López-López; Heidy M. Marín; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Luis Enrique Sucar; Luis Villaseñor Pineda (CLEF (Working Notes), 2007)

Towards Annotation-Based Query and Document Expansion for Image Retrieval. - Hugo Jair Escalante; Carlos A. Hernández 001; Aurelio López-López; Heidy Marisol Marín-Castro; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Luis Enrique Sucar; Luis Villaseñor Pineda (CLEF, 2007)

Incremental refinement of solutions for multiple objective optimization problems. - Carlos Eduardo Mariano; Victor Hugo Alcocer; Eduardo F. Morales 001 (GECCO, 2007)

Weighted Instance-Based Learning Using Representative Intervals. - Octavio Gómez; Eduardo F. Morales 001; Jesús A. González (MICAI, 2007)

Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-class. - Manuel Mejía-Lavalle; Eduardo F. Morales 001; Gustavo Arroyo-Figueroa (MICAI, 2007)

Automatic generation of explanations: AGE. - Silvia B. González-Brambila; Eduardo F. Morales 001 (Eng. Appl. Artif. Intell., 2007)

Multi-objective optimization of water-using systems. - Carlos E. Mariano-Romero; Víctor Alcocer-Yamanaka; Eduardo F. Morales 001 (Eur. J. Oper. Res., 2007)

Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval. - Hugo Jair Escalante; Jesús A. González; Carlos A. Hernández 001; Aurelio López-López; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Luis Enrique Sucar; Luis Villaseñor Pineda (CLEF, 2008)

TIA-INAOE Participation at ImageCLEF 2008. - Hugo Jair Escalante; Jesús A. González; Carlos A. Hernández 001; Aurelio López-López; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Luis Enrique Sucar; Luis Villaseñor Pineda (CLEF (Working Notes), 2008)

Real-time face recognition for human-robot interaction. - Claudia Cruz; Luis Enrique Sucar; Eduardo F. Morales 001 (FG, 2008)

Transfer Learning for Bayesian Networks. - Roger Luis; Luis Enrique Sucar; Eduardo F. Morales 001 (IBERAMIA, 2008)

Solving navigation tasks with learned Teleo-Reactive Programs. - Blanca Vargas-Govea; Eduardo F. Morales 001 (IROS, 2008)

Dynamic Behavior of Contaminants in the Water Distribution Network of Cuernavaca Mexico, a Real Application of Multiobjective Distributed Reinforcement Learning. - Carlos E. Mariano-Romero; Eduardo F. Morales-Manzanares (Computación y Sistemas, 2008)

Executing concurrent actions with multiple Markov decision processes. - Elva Corona-Xelhuantzi; Eduardo F. Morales 001; Luis Enrique Sucar (ADPRL, 2009)

Learning Relational Grammars from Sequences of Actions. - Blanca Vargas-Govea; Eduardo F. Morales 001 (CIARP, 2009)

TIA-INAOE's Participation in ImageCLEF 2009. - Hugo Jair Escalante; Jesus A. Gonzalez; Carlos A. Hernández 001; Aurelio López-López; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Elias Ruiz 001; Luis Enrique Sucar; Luis Villaseñor Pineda (CLEF (Working Notes), 2009)

People Detection by a Mobile Robot Using Stereo Vision in Dynamic Indoor Environments. - José Alberto Méndez-Polanco; Angélica Muñoz-Meléndez; Eduardo F. Morales 001 (MICAI, 2009)

A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots. - Julio H. Zaragoza; Eduardo F. Morales 001 (MICAI, 2009)

AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation. - Alberto Reyes; Luis Enrique Sucar; Eduardo F. Morales 001 (Computación y Sistemas, 2009)

An Efficient Strategy for Fast Object Search Considering the Robot's Perceptual Limitations. - Javier Cabanillas; Eduardo F. Morales 001; Luis Enrique Sucar (IBERAMIA, 2010)

A Visual Grammar for Face Detection. - Augusto Meléndez; Luis Enrique Sucar; Eduardo F. Morales 001 (IBERAMIA, 2010)

Detection of Multiple People by a Mobile Robot in Dynamic Indoor Environments. - José Alberto Méndez-Polanco; Angélica Muñoz-Meléndez; Eduardo F. Morales-Manzanares (IBERAMIA, 2010)

Dynamic Reward Shaping: Training a Robot by Voice. - Ana Cecilia Tenorio-González; Eduardo F. Morales 001; Luis Villaseñor Pineda (IBERAMIA, 2010)

Learning Concepts with Multi-robot Systems. - Ana Cristina Palacios-García; Angélica Muñoz-Meléndez; Eduardo F. Morales 001 (ICINCO (Selected Papers), 2010)

Collective Learning of Concepts using a Robot Team. - Ana Cristina Palacios-García; Angélica Muñoz-Meléndez; Eduardo F. Morales 001 (ICINCO (2), 2010)

Automatic Image Annotation Using Multiple Grid Segmentation. - Gerardo Arellano; Luis Enrique Sucar; Eduardo F. Morales 001 (MICAI (1), 2010)

Object Class Recognition Using SIFT and Bayesian Networks. - Leonardo Chang 001; Miriam Monica Duarte; Luis Enrique Sucar; Eduardo F. Morales 001 (MICAI (2), 2010)

Teaching a Robot to Perform Tasks with Voice Commands. - Ana Cecilia Tenorio-González; Eduardo F. Morales 001; Luis Villaseñor Pineda (MICAI (1), 2010)

The segmented and annotated IAPR TC-12 benchmark. - Hugo Jair Escalante; Carlos A. Hernández 001; Jesús A. González; Aurelio López-López; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Luis Enrique Sucar; Luis Villaseñor Pineda; Michael Grubinger (Comput. Vis. Image Underst., 2010)

Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression. - Julio H. Zaragoza; Eduardo F. Morales 001 (J. Intell. Learn. Syst. Appl., 2010)

Inductive transfer for learning Bayesian networks. - Roger Luis; Luis Enrique Sucar; Eduardo F. Morales 001 (Mach. Learn., 2010)

A Minority Class Feature Selection Method. - German Cuaya-Simbro; Angélica Muñoz-Meléndez; Eduardo F. Morales 001 (CIARP, 2011)

Teaching a Robot to Perform Task through Imitation and On-line Feedback. - Adrián León; Eduardo F. Morales 001; Leopoldo Altamirano Robles; Jaime R. Ruiz (CIARP, 2011)

A Two-Step Method to Learn Multidimensional Bayesian Network Classifiers Based on Mutual Information Measures. - Julio Cesar Zaragoza; Luis Enrique Sucar; Eduardo F. Morales 001 (FLAIRS, 2011)

Learning Temporal Bayesian Networks for Power Plant Diagnosis. - Pablo Hernandez-Leal; Luis Enrique Sucar; Jesus A. Gonzalez; Eduardo F. Morales 001; Pablo H. Ibargüengoytia (IEA/AIE (1), 2011)

Bayesian Chain Classifiers for Multidimensional Classification. - Julio H. Zaragoza; Luis Enrique Sucar; Eduardo F. Morales 001; Concha Bielza; Pedro Larrañaga (IJCAI, 2011)

Unsupervised Learning of Visual Object Recognition Models. - Dulce J. Navarrete; Eduardo F. Morales 001; Luis Enrique Sucar (IBERAMIA, 2012)

A Bayesian approach for object classification based on clusters of SIFT local features. - Leonardo Chang 001; Miriam Monica Duarte; Luis Enrique Sucar; Eduardo F. Morales 001 (Expert Syst. Appl., 2012)

Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces. - Esteban Omar Garcia; Enrique Munoz de Cote; Eduardo F. Morales 001 (CIARP (1), 2013)

A Non-temporal Approach for Gesture Recognition Using Microsoft Kinect. - Mallinali Ramírez-Corona; Miguel Osorio-Ramos; Eduardo F. Morales 001 (CIARP (2), 2013)

A One-Shot DTW-Based Method for Early Gesture Recognition. - Yared Sabinas; Eduardo F. Morales 001; Hugo Jair Escalante (CIARP (2), 2013)

A Transfer Learning Approach for Learning Temporal Nodes Bayesian Networks. - Lindsey Jennifer Fiedler-Cameras; Luis Enrique Sucar; Eduardo F. Morales 001 (FLAIRS, 2013)

A Hybrid Global-Local Approach for Hierarchical Classification. - Julio Noe Hernandez; Luis Enrique Sucar; Eduardo F. Morales 001 (FLAIRS, 2013)

Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks. - Pablo Hernandez-Leal; Alma Rios-Flores; Santiago Ávila-Rios; Gustavo Reyes-Terán; Jesus A. Gonzalez; Lindsey Jennifer Fiedler-Cameras; Felipe Orihuela-Espina; Eduardo F. Morales 001; Luis Enrique Sucar (Artif. Intell. Medicine, 2013)

Synthetic oversampling of Instances using Clustering. - Atlántida I. Sánchez; Eduardo F. Morales 001; Jesus A. Gonzalez (Int. J. Artif. Intell. Tools, 2013)

Learning temporal nodes Bayesian networks. - Pablo Hernandez-Leal; Jesus A. Gonzalez; Eduardo F. Morales 001; Luis Enrique Sucar (Int. J. Approx. Reason., 2013)

A dynamic Bayesian network for estimating the risk of falls from real gait data. - German Cuaya-Simbro; Angélica Muñoz-Meléndez; Lidia Nuñez Carrera; Eduardo F. Morales 001; Ivett Quiñones-Urióstegui; Alberto Isaac Pérez-SanPablo; Aldo Alessi (Medical Biol. Eng. Comput., 2013)

Chained Path Evaluation for Hierarchical Multi-Label Classification. - Mallinali Ramírez-Corona; Luis Enrique Sucar; Eduardo F. Morales 001 (FLAIRS, 2014)

Simultaneous generation of prototypes and features through genetic programming. - Mauricio García-Limón; Hugo Jair Escalante; Eduardo F. Morales 001; Alicia Morales-Reyes (GECCO, 2014)

Towards the automated generation of term-weighting schemes for text categorization. - Mauricio García-Limón; Hugo Jair Escalante; Manuel Montes-y-Gómez; Alicia Morales-Reyes; Eduardo F. Morales 001 (GECCO (Companion), 2014)

Wind Power Forecasting Using Dynamic Bayesian Models. - Pablo H. Ibargüengoytia; Alberto Reyes; Inés Romero-Leon; David Pech; Uriel A. García; Luis Enrique Sucar; Eduardo F. Morales 001 (MICAI (2), 2014)

Multi-label Classification for Tree and Directed Acyclic Graphs Hierarchies. - Mallinali Ramírez-Corona; Luis Enrique Sucar; Eduardo F. Morales 001 (Probabilistic Graphical Models, 2014)

Term-Weighting Learning via Genetic Programming for Text Classification. - Hugo Jair Escalante; Mauricio A. García-Limón; Alicia Morales-Reyes; Mario Graff; Manuel Montes-y-Gómez; Eduardo F. Morales 001 (CoRR, 2014)

Multidimensional hierarchical classification. - Julio Noe Hernandez; Luis Enrique Sucar; Eduardo F. Morales 001 (Expert Syst. Appl., 2014)

Transfer Learning for continuous State and Action Spaces. - Esteban Omar Garcia; Enrique Munoz de Cote; Eduardo F. Morales 001 (Int. J. Pattern Recognit. Artif. Intell., 2014)

Multi-label classification with Bayesian network-based chain classifiers. - Luis Enrique Sucar; Concha Bielza; Eduardo F. Morales 001; Pablo Hernandez-Leal; Julio H. Zaragoza; Pedro Larrañaga (Pattern Recognit. Lett., 2014)

Stress Modelling Using Transfer Learning in Presence of Scarce Data. - Pablo Hernandez-Leal; Alban Maxhuni; Luis Enrique Sucar; Venet Osmani; Eduardo F. Morales 001; Oscar Mayora (AmIHEALTH, 2015)

Transfer learning for temporal nodes Bayesian networks. - Lindsey Jennifer Fiedler-Cameras; Luis Enrique Sucar; Eduardo F. Morales 001 (Appl. Intell., 2015)

Term-weighting learning via genetic programming for text classification. - Hugo Jair Escalante; Mauricio A. García-Limón; Alicia Morales-Reyes; Mario Graff; Manuel Montes-y-Gómez; Eduardo F. Morales 001; José Martínez-Carranza (Knowl. Based Syst., 2015)

Searching Objects in Known Environments: Empowering Simple Heuristic Strategies. - Ramon Izquierdo-Cordova; Eduardo F. Morales 001; Luis Enrique Sucar; Rafael Murrieta-Cid (RoboCup, 2016)

Transfer learning by prototype generation in continuous spaces. - Enrique Munoz de Cote; Esteban Omar Garcia; Eduardo F. Morales 001 (Adapt. Behav., 2016)

Hierarchical multilabel classification based on path evaluation. - Mallinali Ramírez-Corona; Luis Enrique Sucar; Eduardo F. Morales 001 (Int. J. Approx. Reason., 2016)

Stress modelling and prediction in presence of scarce data. - Alban Maxhuni; Pablo Hernandez-Leal; Luis Enrique Sucar; Venet Osmani; Eduardo F. Morales 001; Oscar Mayora (J. Biomed. Informatics, 2016)

Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients. - Alban Maxhuni; Angélica Muñoz-Meléndez; Venet Osmani; Humberto Perez; Oscar Mayora; Eduardo F. Morales 001 (Pervasive Mob. Comput., 2016)

A naïve Bayes baseline for early gesture recognition. - Hugo Jair Escalante; Eduardo F. Morales 001; Luis Enrique Sucar (Pattern Recognit. Lett., 2016)

Automatic discovery of relational concepts by an incremental graph-based representation. - Ana Cecilia Tenorio-González; Eduardo F. Morales 001 (Robotics Auton. Syst., 2016)

Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network. - Víctor Lobato-Ríos; Ana Cecilia Tenorio-González; Eduardo F. Morales 001 (MICAI (1), 2017)

Análisis de readmisión hospitalaria de pacientes diabéticos mediante aprendizaje computacional. - German Cuaya-Simbro; Elias Ruiz 002; Angélica Muñoz-Meléndez; Eduardo F. Morales 001 (Res. Comput. Sci., 2017)

Predicting Academic-Challenge Success. - Dante López; Luis Villaseñor Pineda; Manuel Montes-y-Gómez; Eduardo F. Morales 001; Hugo Jair Escalante (CIARP, 2018)

A Distributed Probabilistic Model for Fault Diagnosis. - Ana Li Oña-García; Luis Enrique Sucar; Eduardo F. Morales 001 (IBERAMIA, 2018)

Recognition of Apparent Personality Traits from Text and Handwritten Images. - Ernesto Pérez Costa; Luis Villaseñor Pineda; Eduardo F. Morales 001; Hugo Jair Escalante (CVAUI/IWCF/MIPPSNA@ICPR, 2018)

Automated Detection of Hummingbirds in Images: A Deep Learning Approach. - Sergio A. Serrano; Ricardo Benítez-Jimenez; Laura Nuñez-Rosas; Ma del Coro Arizmendi; Harold Greeney; Verónica Reyes-Meza; Eduardo F. Morales 001; Hugo Jair Escalante (MCPR, 2018)

Bayesian Chain Classifier with Feature Selection for Multi-label Classification. - Ricardo Benítez-Jimenez; Eduardo F. Morales 001; Hugo Jair Escalante (MICAI (1), 2018)

A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry. - Javier Herrera-Vega; Felipe Orihuela-Espina; Pablo H. Ibargüengoytia; Uriel A. García; Dan-El N. Vila Rosado; Eduardo F. Morales 001; Luis Enrique Sucar (Eng. Appl. Artif. Intell., 2018)

Automatic discovery of concepts and actions. - Ana Cecilia Tenorio-González; Eduardo F. Morales 001 (Expert Syst. Appl., 2018)

A Novel Scheme for Training Two-Stream CNNs for Action Recognition. - Reinier Oves García; Eduardo F. Morales 001; Luis Enrique Sucar (CIARP, 2019)

A Fast and Robust Deep Learning Approach for Hand Object Grasping Confirmation. - Sebastián Salazar-Colores; Arquímides Méndez-Molina; David Carrillo-López; Esaú Escobar-Juárez; Eduardo F. Morales 001; Luis Enrique Sucar (MICAI, 2019)

Meta-learning of Textual Representations. - Jorge G. Madrid; Hugo Jair Escalante; Eduardo F. Morales 001 (PKDD/ECML Workshops (1), 2019)

Enhancing object, action, and effect recognition using probabilistic affordances. - Esteban Jaramillo-Cabrera; Eduardo F. Morales 001; José Martínez-Carranza (Adapt. Behav., 2019)

Towards AutoML in the presence of Drift: first results. - Jorge G. Madrid; Hugo Jair Escalante; Eduardo F. Morales 001; Wei-Wei Tu; Yang Yu 001; Lisheng Sun-Hosoya; Isabelle Guyon; Michèle Sebag (CoRR, 2019)

Image Annotation as Text-Image Matching: Challenge Design and Results. - Luis Pellegrin; Octavio Loyola-González; José Ortiz-Bejar; Miguel Angel Medina-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Eric Sadit Tellez; Mario Graff; Sabino Miranda-Jiménez; Daniela Moctezuma 001; Mauricio García-Limón; Alicia Morales-Reyes; Carlos A. Reyes García; et al. (Computación y Sistemas, 2019)

Safe reinforcement learning using risk mapping by similarity. - Jonathan Serrano Cuevas; Eduardo F. Morales 001; Pablo Hernandez-Leal (Adapt. Behav., 2020)

Causal Based Q-Learning. - Arquímides Méndez-Molina; Ivan Feliciano-Avelino; Eduardo F. Morales 001; Luis Enrique Sucar (Res. Comput. Sci., 2020)

Multi-source Transfer Learning for Deep Reinforcement Learning. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (MCPR, 2021)

DBSCAN Parameter Selection Based on K-NN. - Leonardo Delgado; Eduardo F. Morales 001 (MICAI (1), 2021)

Causal Based Action Selection Policy for Reinforcement Learning. - Ivan Feliciano-Avelino; Arquímides Méndez-Molina; Eduardo F. Morales 001; Luis Enrique Sucar (MICAI (1), 2021)

Source Task Selection in Time Series via Performance Prediction. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (MICAI (1), 2021)

A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning. - Eduardo F. Morales 001; Rafael Murrieta-Cid; Israel Becerra; Marco A. Esquivel-Basaldua (Intell. Serv. Robotics, 2021)

Knowledge-Based Hierarchical POMDPs for Task Planning. - Sergio A. Serrano; Elizabeth Santiago; José Martínez-Carranza; Eduardo F. Morales 001; Luis Enrique Sucar (J. Intell. Robotic Syst., 2021)

Mining Experts from Source Code Analysis: An Empirical Evaluation. - Johnatan Oliveira; Markos Viggiato; Denis Pinheiro; Eduardo F. Morales 001 (J. Softw. Eng. Res. Dev., 2021)

Second-order motion descriptors for efficient action recognition. - Reinier Oves García; Eduardo F. Morales 001; Luis Enrique Sucar (Pattern Anal. Appl., 2021)

Unobtrusive Stress Assessment Using Smartphones. - Alban Maxhuni; Pablo Hernandez-Leal; Eduardo F. Morales 001; Luis Enrique Sucar; Venet Osmani; Oscar Mayora (IEEE Trans. Mob. Comput., 2021)

Model Compression for Deep Reinforcement Learning Through Mutual Information. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (IBERAMIA, 2022)

Multi-view Learning for EEG Signal Classification of Imagined Speech. - Sandra Eugenia Barajas Montiel; Eduardo F. Morales 001; Hugo Jair Escalante (MCPR, 2022)

Causal Discovery and Reinforcement Learning: A Synergistic Integration. - Arquímides Méndez-Molina; Eduardo F. Morales 001; Luis Enrique Sucar (PGM, 2022)

Bayesian Probabilistic Stopping Test and Asymptotic Shortest Time Trajectories for Object Reconstruction with a Mobile Manipulator Robot. - Heikel Yervilla-Herrera; Israel Becerra; Rafael Murrieta-Cid; Luis Enrique Sucar; Eduardo F. Morales 001 (J. Intell. Robotic Syst., 2022)

CARL: A Synergistic Framework for Causal Reinforcement Learning. - Arquímides Méndez-Molina; Eduardo F. Morales 001; Luis Enrique Sucar (IEEE Access, 2023)

Progressive Forest: An Early Stopping Criteria For Building Ensembles. - Nayma Cepero-Pérez; Mailyn Moreno-Espino; Eduardo F. Morales 001; Milton García-Borroto (Computación y Sistemas (CyS), 2023)

Automatic Selection of Multi-view Learning Techniques and Views for Pattern Recognition in Electroencephalogram Signals. - Sandra Eugenia Barajas Montiel; Eduardo F. Morales 001; Hugo Jair Escalante; Carlos Alberto Reyes García (Computación y Sistemas (CyS), 2023)

Relational Representation for Knowledge Transfer in Reinforcement Learning. - Armando Martínez; Eduardo F. Morales 001; Luis Enrique Sucar (Res. Comput. Sci., 2023)

Shape completion using orthogonal views through a multi-input-output network. - Leonardo Delgado; Eduardo F. Morales 001 (Pattern Anal. Appl., 2023)

Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (Neural Comput. Appl., 2023)

Incremental Learning for Object Classification in a Real and Dynamic World. - Yareli Aburto Sánchez; Eduardo F. Morales 001 (MICAI (1), 2024)

Estimating Bounds on Causal Effects Considering Unmeasured Common Causes. - Sebastián Bejos; Luis Enrique Sucar; Eduardo F. Morales 001 (PGM, 2024)

Detection of Concept Drift in Bayesian Networks. - Miranda Naian Ramírez-Cruz; Luis Enrique Sucar; Eduardo F. Morales 001; Jesús Joel Rivas (MCPR, 2025)

A proactive approach for random forest. - Nayma Cepero-Pérez; Mailyn Moreno-Espino; Eduardo F. Morales 001; Ariel López González; Cornelio Yáñez-Márquez; Juan Pavón (Appl. Intell., 2025)