Knowledge-based Assistant for Colonscopy. - Luis Enrique Sucar; Duncan Fyfe Gillies (IEA/AIE (Vol. 2), 1990)

Handling Uncertainty in Knowledge-Based Computer Vision. - Luis Enrique Sucar; Duncan Fyfe Gillies (ECSQARU, 1991)

Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. - Luis Enrique Sucar; Duncan Fyfe Gillies (UAI, 1992)

Objective Probabilities in Expert Systems. - Luis Enrique Sucar; Duncan Fyfe Gillies; D. A. Gillies (Artif. Intell., 1993)

Probabilistic reasoning in high-level vision. - Luis Enrique Sucar; Duncan Fyfe Gillies (Image Vis. Comput., 1994)

A Probabilistic Model for Sensor Validation. - Pablo H. Ibargüengoytia; Luis Enrique Sucar; Sunil Vadera (UAI, 1996)

A Layered, Any Time Approach to Sensor Validation. - Pablo H. Ibargüengoytia; Sunil Vadera; Luis Enrique Sucar (ECSQARU-FAPR, 1997)

A Probabilistic Model for Case-Based Reasoning. - Andres F. Rodriguez; Sunil Vadera; Luis Enrique Sucar (ICCBR, 1997)

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)

Bayesian Networks for Reliability Analysis of Complex Systems. - José G. Torres-Toledano; Luis Enrique Sucar (IBERAMIA, 1998)

Any Time Probabilistic Reasoning for Sensor Validation. - Pablo H. Ibargüengoytia; Luis Enrique Sucar; Sunil Vadera (UAI, 1998)

A Temporal Bayesian Network for Diagnosis and Prediction. - Gustavo Arroyo-Figueroa; Luis Enrique Sucar (UAI, 1999)

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

Probabilistic Estimation of Local Scale. - Giovani Gómez; Luis Enrique Sucar; José L. Marroquín (ICPR, 2000)

Human Silhouette Recognition with Fourier Descriptors. - Rocío Díaz de León; Luis Enrique Sucar (ICPR, 2000)

EDAS - Event-Disturbance Analysis System for Fossil Power Plants Operation. - Gustavo Arroyo-Figueroa; Luis Enrique Sucar (MICAI, 2000)

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

A Probabilistic Exemplar-Based Model for Case-Based Reasoning. - Andres F. Rodriguez; Sunil Vadera; Luis Enrique Sucar (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 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)

Translation, rotation, and scale-invariant object recognition. - Luz Abril Torres-Méndez; J. Carlos Ruiz-Suárez; Luis Enrique Sucar; Giovani Gómez (IEEE Trans. Syst. Man Cybern. Part C, 2000)

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)

A Methodology for Reliable Systems Design. - Jaime Solano-Soto; Luis Enrique Sucar (IEA/AIE, 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)

Medical Diagnosis Using Temporal Probabilistic Networks. - Gustavo Arroyo-Figueroa; Luis Enrique Sucar (Computación y Sistemas, 2001)

Recognition of Continuous Activities. - Rocío Díaz de León; Luis Enrique Sucar (IBERAMIA, 2002)

Continuous Activity Recognition with Missing Data. - Rocío Díaz de León; Luis Enrique Sucar (ICPR (1), 2002)

The pq-Histogram as a Navigation Clue. - Giovani Gómez; Luis Enrique Sucar; Duncan Fyfe Gillies (ICRA, 2002)

Navigation Advice from pq-Histograms. - Giovani Gómez; Luis Enrique Sucar; Duncan Fyfe Gillies (MICAI, 2002)

On Selecting an Appropriate Colour Space for Skin Detection. - Giovani Gómez; M. Sanchez; Luis Enrique Sucar (MICAI, 2002)

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

Dynamic Bayesian networks for visual recognition of dynamic gestures. - Héctor Hugo Avilés-Arriaga; Luis Enrique Sucar (J. Intell. Fuzzy Syst., 2002)

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

A Graphical Model for Human Activity Recognition. - Rocío Díaz de León; Luis Enrique Sucar (CIARP, 2004)

Feature Selection for Visual Gesture Recognition Using Hidden Markov Models. - José Antonio Montero; Luis Enrique Sucar (ENC, 2004)

Clustering Gene Expression Data: An Experimental Analysis. - Sergio Ortiz-Gama; Luis Enrique Sucar; Rodriguez Rodriguez (ENC, 2004)

Comparative Evaluation of Temporal Nodes Bayesian Networks and Networks of Probabilistic Events in Discrete Time. - Severino F. Galán; Gustavo Arroyo-Figueroa; Francisco Javier Díez 001; Luis Enrique Sucar (MICAI, 2004)

Power Plant Operator Assistant: An Industrial Application of Factored MDPs. - Alberto Reyes; Pablo H. Ibargüengoytia; Luis Enrique Sucar (MICAI, 2004)

Tool-Wear Monitoring Based on Continuous Hidden Markov Models. - Antonio Vallejo Jr.; Juan Arturo Nolazco-Flores; Rubén Morales-Menéndez; Luis Enrique Sucar; Ciro A. Rodríguez (CIARP, 2005)

A Probabilistic Relational Student Model for Virtual Laboratories. - Julieta Noguez 001; Luis Enrique Sucar (ENC, 2005)

A Probabilistic Model of Affective Behavior for Intelligent Tutoring Systems. - Yasmín Hernández; Julieta Noguez 001; Luis Enrique Sucar; Gustavo Arroyo-Figueroa (MICAI, 2005)

A Semi-open Learning Environment for Virtual Laboratories. - Julieta Noguez 001; Luis Enrique Sucar (MICAI, 2005)

User preferences for effective task completion while interacting with a robotic conversational animated face. - Yandi Ricano; Jaqueline Hernandez; Luis Enrique Sucar; Oscar Mayora (RO-MAN, 2005)

Temporal Bayesian Network of Events for Diagnosis and Prediction in Dynamic Domains. - Gustavo Arroyo-Figueroa; Luis Enrique Sucar (Appl. Intell., 2005)

Context-Based Gesture Recognition. - José Antonio Montero; Luis Enrique Sucar (CIARP, 2006)

A Decision-Theoretic Video Conference System Based on Gesture Recognition. - José Antonio Montero; Luis Enrique Sucar (FGR, 2006)

Bayesian Model Combination and Its Application to Cervical Cancer Detection. - Miriam Martinez-Arroyo; Luis Enrique Sucar; Héctor-Gabriel Acosta-Mesa; Nicandro Cruz-Ramírez (IBERAMIA-SBIA, 2006)

An Intelligent Assistant for Training of Power Plant Operators. - Francisco Elizalde; Luis Enrique Sucar; Pablo deBuen (ICALT, 2006)

Visual Recognition of Similar Gestures. - Héctor Hugo Avilés-Arriaga; Luis Enrique Sucar; Carlos E. Mendoza (ICPR (1), 2006)

Learning an Optimal Naive Bayes Classifier. - Miriam Martinez-Arroyo; Luis Enrique Sucar (ICPR (4), 2006)

Diagnosis of a Cutting Tool in a Machining Center. - Antonio J. Vallejo; Rubén Morales-Menéndez; Ciro A. Rodríguez; Luis Enrique Sucar (IJCNN, 2006)

Intelligent Environment for Training of Power Systems Operators. - Gustavo Arroyo-Figueroa; Yasmín Hernández; Luis Enrique Sucar (KES (1), 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)

A Probabilistic Model for Information and Sensor Validation. - Pablo H. Ibargüengoytia; Sunil Vadera; Luis Enrique Sucar (Comput. J., 2006)

Improving Automatic Image Annotation Based on Word Co-occurrence. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (Adaptive Multimedia Retrieval, 2007)

Word Co-occurrence and Markov Random Fields for Improving Automatic Image Annotation. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (BMVC, 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)

An MDP Approach for Explanation Generation. - Francisco Elizalde; Luis Enrique Sucar; Alberto Reyes; Pablo deBuen (ExaCt, 2007)

PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (IJCNN, 2007)

Markov Random Fields and Spatial Information to Improve Automatic Image Annotation. - Carlos Arturo Hernández-Gracidas; Luis Enrique Sucar (PSIVT, 2007)

A Probabilistic Relational Student Model for Virtual Laboratories. - Julieta Noguez 001; Luis Enrique Sucar; Enrique David Espinosa (User Modeling, 2007)

Comparison of Two Types of Event Bayesian Networks: A Case Study. - Severino F. Galán; Gustavo Arroyo-Figueroa; Francisco Javier Díez 001; Luis Enrique Sucar (Appl. Artif. Intell., 2007)

A Semi-Open Learning Environment for Mobile Robotics. - Luis Enrique Sucar (Int. J. Online Eng., 2007)

Gesture Therapy: A Vision-Based System for Arm Rehabilitation after Stroke. - Luis Enrique Sucar; Gildardo Azcárate; Ron S. Leder; David J. Reinkensmeyer; Jorge Hernández; Israel Sánchez; Pedro Saucedo (BIOSTEC (Selected Papers), 2008)

Gesture Therapy - A Low-Cost Vision-Based System for Rehabilitation after Stroke. - Luis Enrique Sucar; Ron S. Leder; David J. Reinkensmeyer; Jorge Hernández; Gildardo Azcárate; Nallely Casteñeda; Pedro Saucedo (HEALTHINF (2), 2008)

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)

Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation. - Francisco Elizalde; Luis Enrique Sucar; Julieta Noguez 001; Alberto Reyes (ExaCt, 2008)

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

Qualification of arm gestures using hidden Markov models. - G. Eliezer Quintana; Luis Enrique Sucar; Gildardo Azcárate; Ron S. Leder (FG, 2008)

Learning Dynamic Naive Bayesian Classifiers. - Miriam Martínez; Luis Enrique Sucar (FLAIRS, 2008)

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

Evaluating a Probabilistic Model for Affective Behavior in an Intelligent Tutoring System. - Yasmín Hernández; Gustavo Arroyo-Figueroa; Luis Enrique Sucar (ICALT, 2008)

An Affective Behavior Model for Intelligent Tutors. - Yasmín Hernández; Luis Enrique Sucar; Cristina Conati (Intelligent Tutoring Systems, 2008)

Building an Affective Model for Intelligent Tutoring Systems with Base on Teachers' Expertise. - Yasmín Hernández; Luis Enrique Sucar; Gustavo Arroyo-Figueroa (MICAI, 2008)

Late fusion of heterogeneous methods for multimedia image retrieval. - Hugo Jair Escalante; Carlos A. Hernández 001; Luis Enrique Sucar; Manuel Montes-y-Gómez (Multimedia Information Retrieval, 2008)

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

Expert Evaluation of Probabilistic Explanations. - Francisco Elizalde; Luis Enrique Sucar (ExaCt, 2009)

Special Track on Uncertain Reasoning. - Kevin Grant; Luis Enrique Sucar (FLAIRS, 2009)

Incorporating an Affective Behavior Model into an Educational Game. - Yasmín Hernández; Luis Enrique Sucar; Cristina Conati (FLAIRS, 2009)

Probabilistic view planner for 3D modelling indoor environments. - Efraín Lopez-Damian; Gibran Etcheverry; Luis Enrique Sucar; Jesus Lopez-Estrada (IROS, 2009)

View planning for 3D object reconstruction. - Juan Irving Vasquez-Gomez; Efraín Lopez-Damian; Luis Enrique Sucar (IROS, 2009)

Generating Explanations Based on Markov Decision Processes. - Francisco Elizalde; Luis Enrique Sucar; Julieta Noguez 001; Alberto Reyes (MICAI, 2009)

Gesture therapy: A clinical evaluation. - Luis Enrique Sucar; Ariel Molina; Ron S. Leder; Jorge Hernández; Israel Sánchez (PervasiveHealth, 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)

Desarrollo e Integración de un Modelo de Comportamiento Afectivo a un Sistema Tutor Inteligente. - Yasmín Hernández Pérez; Luis Enrique Sucar; Gustavo Arroyo-Figueroa (Rev. Iberoam. de Tecnol. del Aprendiz., 2009)

Particle Swarm Model Selection. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (J. Mach. Learn. Res., 2009)

Image Re-Ranking Based on Relevance Feedback Combining Internal and External Similarities. - Ricardo Omar Chávez García; Manuel Montes-y-Gómez; Luis Enrique Sucar (FLAIRS, 2010)

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

Evaluating an Affective Student Model for Intelligent Learning Environments. - Yasmín Hernández; Luis Enrique Sucar; Gustavo Arroyo-Figueroa (IBERAMIA, 2010)

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

Ensemble particle swarm model selection. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (IJCNN, 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)

Data fusion and label weighting for image retrieval based on spatio-conceptual information. - Carlos Arturo Hernández-Gracidas; Antonio Juárez; Luis Enrique Sucar; Manuel Montes-y-Gómez; Luis Villaseñor Pineda (RIAO, 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)

Evolutionary Learning of Dynamic Naive Bayesian Classifiers. - Miguel A. Palacios-Alonso; Carlos A. Brizuela; Luis Enrique Sucar (J. Autom. Reason., 2010)

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

A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval. - Esaú Villatoro-Tello; Ricardo Omar Chávez García; Manuel Montes-y-Gómez; Luis Villaseñor Pineda; Luis Enrique Sucar (Proces. del Leng. Natural, 2010)

Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks. - Elias Ruiz 001; Augusto Meléndez; Luis Enrique Sucar (AGI, 2011)

Learning Temporal Nodes Bayesian Networks. - Pablo Hernandez-Leal; Luis Enrique Sucar; Jesus A. Gonzalez (FLAIRS, 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)

Next-Best-View Planning for 3D Object Reconstruction under Positioning Error. - Juan Irving Vasquez-Gomez; Luis Enrique Sucar (MICAI (1), 2011)

An energy-based model for region-labeling. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (Comput. Vis. Image Underst., 2011)

Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features. - Ricardo Omar Chávez García; Manuel Montes-y-Gómez; Luis Enrique Sucar (Computación y Sistemas, 2011)

Special section - Uncertain reasoning track FLAIRS 2009. - Kevin Grant; Luis Enrique Sucar (Int. J. Approx. Reason., 2011)

IMTHAC: Artwork image recovery system. - Concepción Pérez de Célis; Thania Felix; Luis Enrique Sucar (CLEI, 2012)

Hierarchical Markov Random Fields with Irregular Pyramids for Improving Image Annotation. - Annette Morales-González; Edel B. García Reyes; Luis Enrique Sucar (IBERAMIA, 2012)

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

Probabilistic Graphical Models and Their Applications in Intelligent Environments. - Luis Enrique Sucar (Intelligent Environments, 2012)

Contrasting Temporal Bayesian Network Models for Analyzing HIV Mutations. - Pablo Hernandez-Leal; Lindsey Jennifer Fiedler-Cameras; Alma Rios-Flores; Jesus A. Gonzalez; Luis Enrique Sucar (BMA, 2012)

Resumen de Tesis Doctoral Semantic Cohesion for Image Annotation and Retrieval. - Hugo Jair Escalante; Luis Enrique Sucar; Manuel Montes-y-Gómez (Computación y Sistemas, 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)

Multi-class particle swarm model selection for automatic image annotation. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (Expert Syst. Appl., 2012)

Special section - Uncertain reasoning FLAIRS 2010. - Luis Enrique Sucar; Laurent Perrussel (Int. J. Approx. Reason., 2012)

Multimodal indexing based on semantic cohesion for image retrieval. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Luis Enrique Sucar (Inf. Retr., 2012)

Document ranking refinement using a Markov random field model. - Esaú Villatoro-Tello; Antonio Juárez; Manuel Montes-y-Gómez; Luis Villaseñor Pineda; Luis Enrique Sucar (Nat. Lang. Eng., 2012)

Survey on Understanding the Tutorial Actions based on Students' Affect. - Yasmín Hernández; Gustavo Arroyo-Figueroa; Luis Enrique Sucar (Res. Comput. Sci., 2012)

Modeling non-stationary opponents. - Pablo Hernandez-Leal; Enrique Munoz de Cote; Luis Enrique Sucar (AAMAS, 2013)

Improving Image Segmentation for Boosting Image Annotation with Irregular Pyramids. - Annette Morales-González; Edel B. García Reyes; Luis Enrique Sucar (CIARP (1), 2013)

Borrowing a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. - Alberto L. Morán; Felipe Orihuela-Espina; Victoria Meza-Kubo; Ana I. Grimaldo; Cristina Ramirez-Fernandez; Eloísa García-Canseco; Juan Manuel Oropeza-Salas; Luis Enrique Sucar (CLIHC, 2013)

Hierarchical Ray Tracing for Fast Volumetric Next-Best-View Planning. - Juan Irving Vasquez-Gomez; Luis Enrique Sucar; Rafael Murrieta-Cid (CRV, 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)

A Hierarchical Model for Morphological Galaxy Classification. - Maribel Angelica Marin; Luis Enrique Sucar; Jesus A. Gonzalez; Raquel Díaz 001 (FLAIRS, 2013)

Simultaneous segmentation and recognition of hand gestures for human-robot interaction. - Harold Vasquez Chavarria; Hugo Jair Escalante; Luis Enrique Sucar (ICAR, 2013)

Recognition of arm activities based on Hidden Markov Models for natural interaction with service robots. - Jose I. Figueroa-Angulo; Jesus Savage-Carmona; Ernesto Bribiesca-Correa; Boris Escalante-Ramírez; Ronald S. Leder; Luis Enrique Sucar (ICAR, 2013)

Strategic Interactions Among Agents with Bounded Rationality. - Pablo Hernandez-Leal; Enrique Munoz de Cote; Luis Enrique Sucar (IJCAI, 2013)

Object Recognition Based on Visual Grammars and Bayesian Networks. - Elias Ruiz 001; Luis Enrique Sucar (IJCAI, 2013)

Simultaneous Segmentation and Recognition of Gestures for Human-Machine Interaction. - Harold Vasquez Chavarria; Luis Enrique Sucar; Hugo Jair Escalante (UDM@IJCAI, 2013)

New Developments in the Gesture Therapy Platform - Past, Present and Future of our Research. - Felipe Orihuela-Espina; Paloma Álvarez-Cardenas; Lorena Palafox; Israel Sánchez-Villavicencio; Alberto L. Morán; Jorge Hernández-Franco; Luis Enrique Sucar (NEUROTECHNIX, 2013)

Posture Based Detection of Attention in Human Computer Interaction. - Patrick Heyer; Javier Herrera-Vega; Dan-El N. Vila Rosado; Luis Enrique Sucar; Felipe Orihuela-Espina (PSIVT, 2013)

An Object Recognition Model Based on Visual Grammars and Bayesian Networks. - Elias Ruiz 001; Luis Enrique Sucar (PSIVT, 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)

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

Improving image retrieval by using spatial relations. - Carlos Arturo Hernández-Gracidas; Luis Enrique Sucar; Manuel Montes-y-Gómez (Multim. Tools Appl., 2013)

FPGA-based detection of SIFT interest keypoints. - Leonardo Chang 001; José Hernández Palancar; Luis Enrique Sucar; Miguel O. Arias-Estrada (Mach. Vis. Appl., 2013)

Partial Shape Matching and Retrieval under Occlusion and Noise. - Leonardo Chang 001; Miguel O. Arias-Estrada; José Hernández Palancar; Luis Enrique Sucar (CIARP, 2014)

Recognizing Visual Categories with Symbol-Relational Grammars and Bayesian Networks. - Elias Ruiz 001; Luis Enrique Sucar (CIARP, 2014)

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

Using a Priori Information for Fast Learning Against Non-stationary Opponents. - Pablo Hernandez-Leal; Enrique Munoz de Cote; Luis Enrique Sucar (IBERAMIA, 2014)

An Efficient Shape Feature Extraction, Description and Matching Method Using GPU. - Leonardo Chang 001; Miguel O. Arias-Estrada; José Hernández Palancar; Luis Enrique Sucar (ICPRAM (Selected Papers), 2014)

LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion. - Leonardo Chang 001; Miguel O. Arias-Estrada; Luis Enrique Sucar; José Hernández Palancar (ICPRAM, 2014)

View planning for 3D object reconstruction with a mobile manipulator robot. - Juan Irving Vasquez-Gomez; Luis Enrique Sucar; Rafael Murrieta-Cid (IROS, 2014)

Revisiting the User Experience of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. - Alberto L. Morán; Victoria Meza; Cristina Ramirez-Fernandez; Ana I. Grimaldo; Eloísa García-Canseco; Felipe Orihuela-Espina; Luis Enrique Sucar (IWAAL, 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)

A framework for learning and planning against switching strategies in repeated games. - Pablo Hernandez-Leal; Enrique Munoz de Cote; Luis Enrique Sucar (Connect. Sci., 2014)

Un método simplex KKT para resolver eficientemente programas lineales para análisis de la sujeción basado en la identificación de restricciones no atadas. - Alejo Mosso Vázquez; David Juárez-Romero; Marco Antonio Cruz-Chavez; Luis Enrique Sucar (Computación y Sistemas, 2014)

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

Treatment of Disease: The Role of Knowledge Representation for Treatment Selection. - Jesse Davis; Luis Enrique Sucar; Felipe Orihuela-Espina (Foundations of Biomedical Knowledge Representation, 2015)

User Modelling for Patient Tailored Virtual Rehabilitation. - Luis Enrique Sucar; Shender Maria Ávila-Sansores; Felipe Orihuela-Espina (Foundations of Biomedical Knowledge Representation, 2015)

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)

Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). - Pablo Hernandez-Leal; Enrique Munoz de Cote; Luis Enrique Sucar (AAMAS, 2015)

Bidding in Non-Stationary Energy Markets. - Pablo Hernandez-Leal; Matthew E. Taylor; Enrique Munoz de Cote; Luis Enrique Sucar (AAMAS, 2015)

Assessing the Distinctiveness and Representativeness of Visual Vocabularies. - Leonardo Chang 001; Airel Pérez Suárez; Máximo Rodríguez-Collada; José Hernández Palancar; Miguel O. Arias-Estrada; Luis Enrique Sucar (CIARP, 2015)

Distributed energy procurement and management in smart environments. - Jonathan Serrano Cuevas; Ansel Y. Rodríguez-González; Miguel A. Palacios-Alonso; Enrique Munoz de Cote; Luis Enrique Sucar (ISC2, 2015)

Pilot Evaluation of a Collaborative Game for Motor Tele-Rehabilitation and Cognitive Stimulation of the Elderly. - Gilberto Borrego; Alberto L. Morán; Arturo Jesús Laflor Hernández; Victoria Meza; Eloísa García-Canseco; Felipe Orihuela-Espina; Luis Enrique Sucar (IWAAL, 2015)

Improving classification of posture based attributed attention assessed by ranked crowd-raters. - Patrick Heyer; Jesús Joel Rivas; Luis Enrique Sucar; Felipe Orihuela-Espina (PervasiveHealth, 2015)

Detecting affective states in virtual rehabilitation. - Jesús Joel Rivas; Felipe Orihuela-Espina; Luis Enrique Sucar; Lorena Palafox; Jorge Hernández-Franco; Nadia Bianchi-Berthouze (PervasiveHealth, 2015)

Unsupervised Segmentation Evaluation for Image Annotation. - Annette Morales-González; Edel B. García Reyes; Luis Enrique Sucar (VISAPP (2), 2015)

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

Out of context serious games: Transversal reutilization of games across healthcare domains. - Alberto L. Morán; Felipe Orihuela-Espina; Victoria Meza-Kubo; Ana I. Grimaldo; Cristina Ramirez-Fernandez; Eloísa García-Canseco; Juan Manuel Oropeza-Salas; Luis Enrique Sucar (Comput. Syst. Sci. Eng., 2015)

On the Effect of Previous Technological Experience on the Usability of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. - Alberto L. Morán; Cristina Ramirez-Fernandez; Victoria Meza-Kubo; Felipe Orihuela-Espina; Eloísa García-Canseco; Ana I. Grimaldo; Luis Enrique Sucar (J. Medical Syst., 2015)

A Model of Affect and Learning for Intelligent Tutors. - Yasmín Hernández; Gustavo Arroyo-Figueroa; Luis Enrique Sucar (J. Univers. Comput. Sci., 2015)

Using Gestures to Interact with a Service Robot using Kinect 2. - Harold Vasquez Chavarria; Héctor Simon Vargas; Luis Enrique Sucar (Res. Comput. Sci., 2015)

Probabilistic Graphical Models - Principles and Applications - Luis Enrique Sucar (Springer, 2015)

Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. - Pablo Hernandez-Leal; Matthew E. Taylor; Benjamin Rosman; Luis Enrique Sucar; Enrique Munoz de Cote (AAAI Workshop: Multiagent Interaction without Prior Coordination, 2016)

A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). - Pablo Hernandez-Leal; Benjamin Rosman; Matthew E. Taylor; Luis Enrique Sucar; Enrique Munoz de Cote (AAMAS, 2016)

Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. - Fernando Lezama; Ansel Y. Rodríguez-González; Enrique Munoz de Cote; Luis Enrique Sucar (EvoApplications (1), 2016)

Causal Probabilistic Graphical Models for Decoding Effective Connectivity in Functional Near InfraRed Spectroscopy. - Samuel Antonio Montero-Hernández; Felipe Orihuela-Espina; Javier Herrera-Vega; Luis Enrique Sucar (FLAIRS, 2016)

A foveation technique applied to face de-identification. - Victor Alonso-Perez; Rogerio Enriqurez-Caldera; Juan Manuel Ramírez-Cortés; Luis Enrique Sucar (ICPR, 2016)

Efficient video face recognition by using Fisher Vector encoding of binary features. - Yoanna Martínez-Díaz; Leonardo Chang 001; Noslén Hernández; Heydi Mendez Vazquez; Luis Enrique Sucar (ICPR, 2016)

Toward Optimal Pedagogical Action Patterns by Means of Partially Observable Markov Decision Process. - Manuel Mejía-Lavalle; Hermilo Victorio Meza; Alicia Martínez 001; Grigori Sidorov; Luis Enrique Sucar; Obdulia Pichardo-Lagunas (MICAI (2), 2016)

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

A Two-Directional Two-Dimensional PCA Correlation Filter in the Phase only Spectrum for Face Recognition in Video. - Víctor E. Alonso; Rogerio A. Enríquez-Caldera; Luis Enrique Sucar (VAAM/FFER@ICPR, 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)

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

Automatic recognition of pain, anxiety, engagement and tiredness for virtual rehabilitation from stroke: A marginalization approach. - Jesús Joel Rivas; Lorena Palafox; Jorge Hernández-Franco; Maria del Carmen Lara; Nadia Bianchi-Berthouze; Felipe Orihuela-Espina; Luis Enrique Sucar (ACII Workshops, 2017)

Detecting Switches Against Non-Stationary Opponents. - Pablo Hernandez-Leal; Yusen Zhan; Matthew E. Taylor; Luis Enrique Sucar; Enrique Munoz de Cote (AAMAS, 2017)

An Exploration Strategy Facing Non-Stationary Agents. - Pablo Hernandez-Leal; Yusen Zhan; Matthew E. Taylor; Luis Enrique Sucar; Enrique Munoz de Cote (AAMAS, 2017)

A Probabilistic Spatial-Temporal Model and its Application to Wind Prediction. - Nazzira Guerrero-Jezzinin; Pablo H. Ibargüengoytia; Luis Enrique Sucar (FLAIRS, 2017)

Differential evolution strategies for large-scale energy resource management in smart grids. - Fernando Lezama; Luis Enrique Sucar; Enrique Munoz de Cote; João P. Soares; Zita A. Vale (GECCO (Companion), 2017)

Automation of motor dexterity assessment. - Patrick Heyer; Luis R. Castrejon; Felipe Orihuela-Espina; Luis Enrique Sucar (ICORR, 2017)

Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors. - Jaen Alberto Arroyo; Cecilia Gomez-Castaneda; Elias Ruiz 001; Enrique Munoz de Cote; Francisco Gavi; Luis Enrique Sucar (IEA/AIE (2), 2017)

A Pathline-Based Background Subtraction Algorithm. - Reinier Oves García; Luis Valentin; Carlos Pérez-Risquet; Luis Enrique Sucar (MCPR, 2017)

Efficiently detecting switches against non-stationary opponents. - Pablo Hernandez-Leal; Yusen Zhan; Matthew E. Taylor; Luis Enrique Sucar; Enrique Munoz de Cote (Auton. Agents Multi Agent Syst., 2017)

An exploration strategy for non-stationary opponents. - Pablo Hernandez-Leal; Yusen Zhan; Matthew E. Taylor; Luis Enrique Sucar; Enrique Munoz de Cote (Auton. Agents Multi Agent Syst., 2017)

View/state planning for three-dimensional object reconstruction under uncertainty. - Juan Irving Vasquez-Gomez; Luis Enrique Sucar; Rafael Murrieta-Cid (Auton. Robots, 2017)

Improving visual vocabularies: a more discriminative, representative and compact bag of visual words. - Leonardo Chang 001; Airel Pérez Suárez; José Hernández Palancar; Miguel Arias-Estrada; Luis Enrique Sucar (Informatica (Slovenia), 2017)

Foveation: an alternative method to simultaneously preserve privacy and information in face images. - Víctor E. Alonso; Rogerio A. Enríquez-Caldera; Luis Enrique Sucar (J. Electronic Imaging, 2017)

Probabilistic Relational Learner Models Based on Competence Maps. - Rafael Morales-Gamboa; Luis Enrique Sucar; Elías Ruíz-Hernández 001; María Elena Chan-Núñez; Simón Carlos González-Flores (Res. Comput. Sci., 2017)

Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database. - Yoanna Martínez-Díaz; Heydi Méndez-Vázquez; Leyanis López-Avila; Leonardo Chang 001; Luis Enrique Sucar; Massimo Tistarelli (CVPR Workshops, 2018)

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

A Fast Algorithm for Robot Localization Using Multiple Sensing Units. - Reinier Oves García; Luis Valentin; José Martínez-Carranza; Luis Enrique Sucar (MCPR, 2018)

Intervals of Causal Effects for Learning Causal Graphical Models. - Samuel Antonio Montero-Hernández; Felipe Orihuela-Espina; Luis Enrique Sucar (PGM, 2018)

Circular Chain Classifiers. - Jesús Joel Rivas; Felipe Orihuela-Espina; Luis Enrique Sucar (PGM, 2018)

Estimating Functional Connectivity Symmetry between Oxy- and Deoxy-Haemoglobin: Implications for fNIRS Connectivity Analysis. - Samuel Antonio Montero-Hernández; Felipe Orihuela-Espina; Luis Enrique Sucar; Paola Pinti; Antonia F. de C. Hamilton; Paul W. Burgess; Ilias Tachtsidis (Algorithms, 2018)

Playing against Nature: causal discovery for decision making under uncertainty. - Mauricio Gonzalez-Soto; Luis Enrique Sucar; Hugo Jair Escalante (CoRR, 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)

Image Annotation by a Hierarchical and Iterative Combination of Recognition and Segmentation. - Annette Morales-González; Edel B. García Reyes; Luis Enrique Sucar (Int. J. Pattern Recognit. Artif. Intell., 2018)

On Fisher vector encoding of binary features for video face recognition. - Yoanna Martínez-Díaz; Noslén Hernández-González; Rolando J. Biscay; Leonardo Chang 001; Heydi Méndez-Vázquez; Luis Enrique Sucar (J. Vis. Commun. Image Represent., 2018)

Automatic Recognition of Multiple Affective States in Virtual Rehabilitation by Exploiting the Dependency Relationships. - Jesús Joel Rivas; Felipe Orihuela-Espina; Luis Enrique Sucar; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (ACII, 2019)

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

Hierarchical Classification With Bayesian Networks and Chained Classifiers. - Jonathan Serrano-Pérez; Luis Enrique Sucar (FLAIRS, 2019)

RGB-D Camera and 2D Laser Integration for Robot Navigation in Dynamic Environments. - Orlando Lara-Guzmán; Sergio A. Serrano; David Carrillo-López; Luis Enrique Sucar (MICAI, 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)

A Knowledge and Probabilistic Based Task Planning Architecture for Service Robotics. - Elizabeth Santiago; Sergio A. Serrano; Luis Enrique Sucar (MICAI, 2019)

Recognition of Affective States in Virtual Rehabilitation using Late Fusion with Semi-Naive Bayesian Classifier. - Jesús Joel Rivas; Felipe Orihuela-Espina; Luis Enrique Sucar (PervasiveHealth, 2019)

A Guiding Principle for Causal Decision Problems. - Mauricio Gonzalez-Soto; Luis Enrique Sucar; Hugo Jair Escalante (CoRR, 2019)

von Neumann-Morgenstern and Savage Theorems for Causal Decision Making. - Mauricio Gonzalez-Soto; Luis Enrique Sucar; Hugo Jair Escalante (CoRR, 2019)

Optimal motion planning and stopping test for 3-D object reconstruction. - Heikel Yervilla-Herrera; Juan Irving Vasquez-Gomez; Rafael Murrieta-Cid; Israel Becerra; Luis Enrique Sucar (Intell. Serv. Robotics, 2019)

Detecting dressing failures using temporal-relational visual grammars. - Elias Ruiz 001; Venet Osmani; Luis Enrique Sucar; Oscar Mayora (J. Ambient Intell. Humaniz. Comput., 2019)

Editorial: Applications of Future Internet. - Oscar Mayora; Luis Enrique Sucar (Mob. Networks Appl., 2019)

What the Appearance Channel from Two-Stream Architectures for Activity Recognition Is Learning? - Reinier Oves García; Luis Enrique Sucar (MCPR, 2020)

Knowledge Transfer for Learning Markov Equivalence Classes. - Verónica Rodríguez-López; Luis Enrique Sucar (PGM, 2020)

PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python. - Jonathan Serrano-Pérez; Luis Enrique Sucar (PGM, 2020)

Causal Structure Learning: a Bayesian approach based on random graphs. - Mauricio Gonzalez-Soto; Ivan R. Feliciano-Avelino; Luis Enrique Sucar; Hugo Jair Escalante Balderas (CoRR, 2020)

Mass segmentation of mammograms using Markov models associated with constrained clustering. - Raúl Cruz-Barbosa; Saiveth Hernández-Hernández; Luis Enrique Sucar (Medical Biol. Eng. Comput., 2020)

Supervised learning of the next-best-view for 3d object reconstruction. - Miguel Mendoza; Juan Irving Vasquez-Gomez; Hind Taud; Luis Enrique Sucar; Carolina Reta (Pattern Recognit. Lett., 2020)

Causal Games and Causal Nash Equilibrium. - Mauricio Gonzalez-Soto; Luis Enrique Sucar; Hugo Jair Escalante (Res. Comput. Sci., 2020)

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

Toward Knowledge Transfer for Learning Markov Equivalence Classes. - Verónica Rodríguez-López; Luis Enrique Sucar; Felipe Orihuela-Espina (Res. Comput. Sci., 2020)

Unobtrusive Inference of Affective States in Virtual Rehabilitation from Upper Limb Motions: A Feasibility Study. - Jesús Joel Rivas; Felipe Orihuela-Espina; Lorena Palafox; Nadia Bianchi-Berthouze; Maria del Carmen Lara; Jorge Hernández-Franco; Luis Enrique Sucar (IEEE Trans. Affect. Comput., 2020)

Dealing with a Missing Sensor in a Multilabel and Multimodal Automatic Affective States Recognition System. - Jesús Joel Rivas; Felipe Orihuela-Espina; Luis Enrique Sucar; Nadia Bianchi-Berthouze (ACII, 2021)

Characterization of a Raspberry Pi as the Core for a Low-cost Multimodal EEG-fNIRS Platform. - Freddy del Angel-Arrieta; Michelle Rojas Cisneros; Jesús Joel Rivas; Luis R. Castrejon; Luis Enrique Sucar; Javier Andreu-Perez; Felipe Orihuela-Espina (EMBC, 2021)

Perceptual and Pixel-Wise Information for Visual Novelty Detection. - Miguel A. Palacios-Alonso; Hugo Jair Escalante; Luis Enrique Sucar (MCPR, 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)

Inter-task Similarity Measure for Heterogeneous Tasks. - Sergio A. Serrano; José Martínez-Carranza; Luis Enrique Sucar (RoboCup, 2021)

Benchmarking lightweight face architectures on specific face recognition scenarios. - Yoanna Martínez-Díaz; Miguel Nicolás-Díaz; Heydi Méndez-Vázquez; Luis S. Luevano; Leonardo Chang 001; Miguel González-Mendoza 001; Luis Enrique Sucar (Artif. Intell. Rev., 2021)

Artificial datasets for hierarchical classification. - Jonathan Serrano-Pérez; Luis Enrique Sucar (Expert Syst. Appl., 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)

Next-best-view regression using a 3D convolutional neural network. - Juan Irving Vasquez-Gomez; David Ernesto Troncoso Romero; Israel Becerra; Luis Enrique Sucar; Rafael Murrieta-Cid (Mach. Vis. Appl., 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)

Key factors that influence the UX of a dual-player game for the cognitive stimulation and motor rehabilitation of older adults. - Gilberto Borrego; Alberto L. Morán; Victoria Meza; Felipe Orihuela-Espina; Luis Enrique Sucar (Univers. Access Inf. Soc., 2021)

Probabilistic Graphical Models - Principles and Applications, Second Edition - Luis Enrique Sucar (Springer, 2021)

Semi-supervised Hierarchical Classification Based on Local Information. - Jonathan Serrano-Pérez; Luis Enrique Sucar (IBERAMIA, 2022)

Detecting and Identifying Global Visual Novelties in Driving Scenarios. - Miguel A. Palacios-Alonso; Hugo Jair Escalante; Luis Enrique Sucar (IV, 2022)

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

Knowledge transfer for learning subject-specific causal models. - Verónica Rodríguez-López; Luis Enrique Sucar (PGM, 2022)

Knowledge transfer for causal discovery. - Verónica Rodríguez-López; Luis Enrique Sucar (Int. J. Approx. Reason., 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)

Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation. - Jesús Joel Rivas; Maria del Carmen Lara; Luis Castrejón; Jorge Hernández-Franco; Felipe Orihuela-Espina; Lorena Palafox; Amanda C. de C. Williams; Nadia Bianchi-Berthouze; Luis Enrique Sucar (IEEE Trans. Affect. Comput., 2022)

Data Imputation with Adversarial Neural Networks for Causal Discovery from Subsampled Time Series. - Julio Muñoz Benítez; Luis Enrique Sucar (MICAI (2), 2023)

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

Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning. - Sergio A. Serrano; José Martínez-Carranza; Luis Enrique Sucar (CoRR, 2023)

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

Learning a causal structure: a Bayesian random graph approach. - Mauricio Gonzalez-Soto; Ivan Feliciano-Avelino; Luis Enrique Sucar; Hugo Jair Escalante (Neural Comput. Appl., 2023)

Semi-supervised Hierarchical Bayesian Multi-label Classification. - Jonathan Serrano-Pérez; Luis Enrique Sucar (IBERAMIA, 2024)

Competence-Based Student Modelling with Dynamic Bayesian Networks. - Rafael Morales 002; Luis Enrique Sucar (MICAI (Workshops 2), 2024)

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

Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review. - Sergio A. Serrano; José Martínez-Carranza; Luis Enrique Sucar (IEEE Access, 2024)

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies. - Jonathan Serrano-Pérez; Raquel Díaz-Hernández; Luis Enrique Sucar (CoRR, 2024)

Inferring multiple coffee flowerings in Central America using farmer data in a probabilistic model. - Leonel Lara Estrada; Luis Enrique Sucar; Livia Rasche (Ecol. Informatics, 2024)

A semi-supervised hierarchical classifier based on local information. - Jonathan Serrano-Pérez; Luis Enrique Sucar (Pattern Anal. Appl., 2024)

Evaluating Deep Reinforcement Learning for Robotic Navigation. - Jorge Gutiérrez; Luis Enrique Sucar; Rafael Murrieta-Cid; Israel Becerra; Gabriel Omar Flores-Aquino (MCPR, 2025)

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

Semi-supervised hierarchical multi-label classifier based on local information. - Jonathan Serrano-Pérez; Luis Enrique Sucar (Int. J. Approx. Reason., 2025)