Luis Enrique Sucar

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 104

Top Venues

Publications

Leonel Lara Estrada, Luis Enrique Sucar, Livia Rasche
Inferring multiple coffee flowerings in Central America using farmer data in a probabilistic model. Ecol. Informatics 79 (2024)
Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review. CoRR (2024)
Jonathan Serrano-Pérez, Luis Enrique Sucar
Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information. CoRR (2024)
Jonathan Serrano-Pérez, Raquel Díaz-Hernández, Luis Enrique Sucar
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies. CoRR (2024)
Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning. CoRR (2023)
Julio Muñoz Benítez, Luis Enrique Sucar
Data Imputation with Adversarial Neural Networks for Causal Discovery from Subsampled Time Series. MICAI (2) (2023)
Mauricio Gonzalez-Soto, Ivan Feliciano-Avelino, Luis Enrique Sucar, Hugo Jair Escalante
Learning a causal structure: a Bayesian random graph approach. Neural Comput. Appl. 35 (25) (2023)
Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar
CARL: A Synergistic Framework for Causal Reinforcement Learning. IEEE Access 11 (2023)
Verónica Rodríguez-López, Luis Enrique Sucar
Knowledge transfer for causal discovery. Int. J. Approx. Reason. 143 (2022)
Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar
Causal Discovery and Reinforcement Learning: A Synergistic Integration. PGM (2022)
Verónica Rodríguez-López, Luis Enrique Sucar
Knowledge transfer for learning subject-specific causal models. PGM (2022)
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
Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation. IEEE Trans. Affect. Comput. 13 (3) (2022)
Jonathan Serrano-Pérez, Luis Enrique Sucar
Semi-supervised Hierarchical Classification Based on Local Information. IBERAMIA (2022)
Heikel Yervilla-Herrera, Israel Becerra, Rafael Murrieta-Cid, Luis Enrique Sucar, Eduardo F. Morales
Bayesian Probabilistic Stopping Test and Asymptotic Shortest Time Trajectories for Object Reconstruction with a Mobile Manipulator Robot. J. Intell. Robotic Syst. 105 (4) (2022)
Miguel A. Palacios-Alonso, Hugo Jair Escalante, Luis Enrique Sucar
Detecting and Identifying Global Visual Novelties in Driving Scenarios. IV (2022)
Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar
Inter-task Similarity Measure for Heterogeneous Tasks. RoboCup (2021)
Reinier Oves García, Eduardo F. Morales, Luis Enrique Sucar
Second-order motion descriptors for efficient action recognition. Pattern Anal. Appl. 24 (2) (2021)
Alban Maxhuni, Pablo Hernandez-Leal, Eduardo F. Morales, Luis Enrique Sucar, Venet Osmani, Oscar Mayora
Unobtrusive Stress Assessment Using Smartphones. IEEE Trans. Mob. Comput. 20 (6) (2021)
Gilberto Borrego, Alberto L. Morán, Victoria Meza, Felipe Orihuela-Espina, Luis Enrique Sucar
Key factors that influence the UX of a dual-player game for the cognitive stimulation and motor rehabilitation of older adults. Univers. Access Inf. Soc. 20 (4) (2021)
Sergio A. Serrano, Elizabeth Santiago, José Martínez-Carranza, Eduardo F. Morales, Luis Enrique Sucar
Knowledge-Based Hierarchical POMDPs for Task Planning. J. Intell. Robotic Syst. 101 (4) (2021)
Ivan Feliciano-Avelino, Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar
Causal Based Action Selection Policy for Reinforcement Learning. MICAI (1) (2021)
Sergio A. Serrano, Elizabeth Santiago, José Martínez-Carranza, Eduardo F. Morales, Luis Enrique Sucar
Knowledge-Based Hierarchical POMDPs for Task Planning. CoRR (2021)
Jonathan Serrano-Pérez, Luis Enrique Sucar
Artificial datasets for hierarchical classification. Expert Syst. Appl. 182 (2021)
Freddy del Angel-Arrieta, Michelle Rojas Cisneros, Jesús Joel Rivas, Luis R. Castrejon, Luis Enrique Sucar, Javier Andreu-Perez, Felipe Orihuela-Espina
Characterization of a Raspberry Pi as the Core for a Low-cost Multimodal EEG-fNIRS Platform. EMBC (2021)
Juan Irving Vasquez-Gomez, David Ernesto Troncoso Romero, Israel Becerra, Luis Enrique Sucar, Rafael Murrieta-Cid
Next-best-view regression using a 3D convolutional neural network. Mach. Vis. Appl. 32 (1) (2021)
Miguel A. Palacios-Alonso, Hugo Jair Escalante, Luis Enrique Sucar
Perceptual and Pixel-Wise Information for Visual Novelty Detection. MCPR (2021)
Yoanna Martínez-Díaz, Miguel Nicolás-Díaz, Heydi Méndez-Vázquez, Luis S. Luevano, Leonardo Chang, Miguel González-Mendoza, Luis Enrique Sucar
Benchmarking lightweight face architectures on specific face recognition scenarios. Artif. Intell. Rev. 54 (8) (2021)
Juan Irving Vasquez-Gomez, David Ernesto Troncoso Romero, Israel Becerra, Luis Enrique Sucar, Rafael Murrieta-Cid
Next-best-view Regression using a 3D Convolutional Neural Network. CoRR (2021)
Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Sucar, Nadia Bianchi-Berthouze
Dealing with a Missing Sensor in a Multilabel and Multimodal Automatic Affective States Recognition System. ACII (2021)
Raúl Cruz-Barbosa, Saiveth Hernández-Hernández, Luis Enrique Sucar
Mass segmentation of mammograms using Markov models associated with constrained clustering. Medical Biol. Eng. Comput. 58 (10) (2020)
Miguel Mendoza, Juan Irving Vasquez-Gomez, Hind Taud, Luis Enrique Sucar, Carolina Reta
Supervised learning of the next-best-view for 3d object reconstruction. Pattern Recognit. Lett. 133 (2020)
Rafael Morales-Gamboa, Luis Enrique Sucar
Competence-Based Student Modelling with Dynamic Bayesian Networks. CoRR (2020)
Arquímides Méndez-Molina, Ivan Feliciano-Avelino, Eduardo F. Morales, Luis Enrique Sucar
Causal Based Q-Learning. Res. Comput. Sci. 149 (3) (2020)
Verónica Rodríguez-López, Luis Enrique Sucar, Felipe Orihuela-Espina
Toward Knowledge Transfer for Learning Markov Equivalence Classes. Res. Comput. Sci. 149 (3) (2020)
Mauricio Gonzalez-Soto, Ivan R. Feliciano-Avelino, Luis Enrique Sucar, Hugo Jair Escalante Balderas
Causal Structure Learning: a Bayesian approach based on random graphs. CoRR (2020)
Verónica Rodríguez-López, Luis Enrique Sucar
Knowledge Transfer for Learning Markov Equivalence Classes. PGM (2020)
Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante
Causal Games and Causal Nash Equilibrium. Res. Comput. Sci. 149 (3) (2020)
Jonathan Serrano-Pérez, Luis Enrique Sucar
PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python. PGM (2020)
Reinier Oves García, Luis Enrique Sucar
What the Appearance Channel from Two-Stream Architectures for Activity Recognition Is Learning? MCPR (2020)
Jesús Joel Rivas, Felipe Orihuela-Espina, Lorena Palafox, Nadia Bianchi-Berthouze, Maria del Carmen Lara, Jorge Hernández-Franco, Luis Enrique Sucar
Unobtrusive Inference of Affective States in Virtual Rehabilitation from Upper Limb Motions: A Feasibility Study. IEEE Trans. Affect. Comput. 11 (3) (2020)
Orlando Lara-Guzmán, Sergio A. Serrano, David Carrillo-López, Luis Enrique Sucar
RGB-D Camera and 2D Laser Integration for Robot Navigation in Dynamic Environments. MICAI (2019)
Miguel Mendoza, Juan Irving Vasquez-Gomez, Hind Taud, Luis Enrique Sucar, Carolina Reta
Supervised Learning of the Next-Best-View for 3D Object Reconstruction. CoRR (2019)
Oscar Mayora, Luis Enrique Sucar
Editorial: Applications of Future Internet. Mob. Networks Appl. 24 (5) (2019)
Reinier Oves García, Eduardo F. Morales, Luis Enrique Sucar
A Novel Scheme for Training Two-Stream CNNs for Action Recognition. CIARP (2019)
Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Sucar, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
Automatic Recognition of Multiple Affective States in Virtual Rehabilitation by Exploiting the Dependency Relationships. ACII (2019)
Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante
Causal Games and Causal Nash Equilibrium. CoRR (2019)
Elizabeth Santiago, Sergio A. Serrano, Luis Enrique Sucar
A Knowledge and Probabilistic Based Task Planning Architecture for Service Robotics. MICAI (2019)
Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Sucar
Recognition of Affective States in Virtual Rehabilitation using Late Fusion with Semi-Naive Bayesian Classifier. PervasiveHealth (2019)
Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante
von Neumann-Morgenstern and Savage Theorems for Causal Decision Making. CoRR (2019)
Heikel Yervilla-Herrera, Juan Irving Vasquez-Gomez, Rafael Murrieta-Cid, Israel Becerra, Luis Enrique Sucar
Optimal motion planning and stopping test for 3-D object reconstruction. Intell. Serv. Robotics 12 (1) (2019)
Jonathan Serrano-Pérez, Luis Enrique Sucar
Hierarchical Classification With Bayesian Networks and Chained Classifiers. FLAIRS Conference (2019)
Elias Ruiz, Venet Osmani, Luis Enrique Sucar, Oscar Mayora
Detecting dressing failures using temporal-relational visual grammars. J. Ambient Intell. Humaniz. Comput. 10 (7) (2019)
Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante
A Guiding Principle for Causal Decision Problems. CoRR (2019)
Sebastián Salazar-Colores, Arquímides Méndez-Molina, David Carrillo-López, Esaú Escobar-Juárez, Eduardo F. Morales, Luis Enrique Sucar
A Fast and Robust Deep Learning Approach for Hand Object Grasping Confirmation. MICAI (2019)
Samuel Antonio Montero-Hernández, Felipe Orihuela-Espina, Luis Enrique Sucar
Intervals of Causal Effects for Learning Causal Graphical Models. PGM (2018)
Annette Morales-González, Edel B. García Reyes, Luis Enrique Sucar
Image Annotation by a Hierarchical and Iterative Combination of Recognition and Segmentation. Int. J. Pattern Recognit. Artif. Intell. 32 (1) (2018)
Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Leyanis López-Avila, Leonardo Chang, Luis Enrique Sucar, Massimo Tistarelli
Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database. CVPR Workshops (2018)
Reinier Oves García, Luis Valentin, José Martínez-Carranza, Luis Enrique Sucar
A Fast Algorithm for Robot Localization Using Multiple Sensing Units. MCPR (2018)
Yoanna Martínez-Díaz, Noslén Hernández-González, Rolando J. Biscay, Leonardo Chang, Heydi Méndez-Vázquez, Luis Enrique Sucar
On Fisher vector encoding of binary features for video face recognition. J. Vis. Commun. Image Represent. 51 (2018)
Javier Herrera-Vega, Felipe Orihuela-Espina, Pablo H. Ibargüengoytia, Uriel A. García, Dan-El N. Vila Rosado, Eduardo F. Morales, Luis Enrique Sucar
A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry. Eng. Appl. Artif. Intell. 70 (2018)
Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Sucar
Circular Chain Classifiers. PGM (2018)
Ana Li Oña-García, Luis Enrique Sucar, Eduardo F. Morales
A Distributed Probabilistic Model for Fault Diagnosis. IBERAMIA (2018)
Samuel Antonio Montero-Hernández, Felipe Orihuela-Espina, Luis Enrique Sucar, Paola Pinti, Antonia F. de C. Hamilton, Paul W. Burgess, Ilias Tachtsidis
Estimating Functional Connectivity Symmetry between Oxy- and Deoxy-Haemoglobin: Implications for fNIRS Connectivity Analysis. Algorithms 11 (5) (2018)
Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante
Playing against Nature: causal discovery for decision making under uncertainty. CoRR (2018)
Reinier Oves García, Luis Valentin, Carlos Pérez-Risquet, Luis Enrique Sucar
A Pathline-Based Background Subtraction Algorithm. MCPR (2017)
Patrick Heyer, Luis R. Castrejon, Felipe Orihuela-Espina, Luis Enrique Sucar
Automation of motor dexterity assessment. ICORR (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
Efficiently detecting switches against non-stationary opponents. Auton. Agents Multi Agent Syst. 31 (4) (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
An Exploration Strategy Facing Non-Stationary Agents. AAMAS (2017)
Jaen Alberto Arroyo, Cecilia Gomez-Castaneda, Elias Ruiz, Enrique Munoz de Cote, Francisco Gavi, Luis Enrique Sucar
Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors. IEA/AIE (2) (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
An exploration strategy for non-stationary opponents. Auton. Agents Multi Agent Syst. 31 (5) (2017)
Rafael Morales-Gamboa, Luis Enrique Sucar, Elías Ruíz-Hernández, María Elena Chan-Núñez, Simón Carlos González-Flores
Probabilistic Relational Learner Models Based on Competence Maps. Res. Comput. Sci. 146 (2017)
Nazzira Guerrero-Jezzinin, Pablo H. Ibargüengoytia, Luis Enrique Sucar
A Probabilistic Spatial-Temporal Model and its Application to Wind Prediction. FLAIRS Conference (2017)
Leonardo Chang, Airel Pérez Suárez, José Hernández Palancar, Miguel Arias-Estrada, Luis Enrique Sucar
Improving visual vocabularies: a more discriminative, representative and compact bag of visual words. Informatica (Slovenia) 41 (3) (2017)
Juan Irving Vasquez-Gomez, Luis Enrique Sucar, Rafael Murrieta-Cid
View/state planning for three-dimensional object reconstruction under uncertainty. Auton. Robots 41 (1) (2017)
Jesús Joel Rivas, Lorena Palafox, Jorge Hernández-Franco, Maria del Carmen Lara, Nadia Bianchi-Berthouze, Felipe Orihuela-Espina, Luis Enrique Sucar
Automatic recognition of pain, anxiety, engagement and tiredness for virtual rehabilitation from stroke: A marginalization approach. ACII Workshops (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
Detecting Switches Against Non-Stationary Opponents. AAMAS (2017)
Fernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale
Differential evolution strategies for large-scale energy resource management in smart grids. GECCO (Companion) (2017)
Víctor E. Alonso, Rogerio A. Enríquez-Caldera, Luis Enrique Sucar
Foveation: an alternative method to simultaneously preserve privacy and information in face images. J. Electronic Imaging 26 (2) (2017)
Yoanna Martínez-Díaz, Leonardo Chang, Noslén Hernández, Heydi Mendez Vazquez, Luis Enrique Sucar
Efficient video face recognition by using Fisher Vector encoding of binary features. ICPR (2016)
Víctor E. Alonso, Rogerio A. Enríquez-Caldera, Luis Enrique Sucar
A Two-Directional Two-Dimensional PCA Correlation Filter in the Phase only Spectrum for Face Recognition in Video. VAAM/FFER@ICPR (2016)
Ramon Izquierdo-Cordova, Eduardo F. Morales, Luis Enrique Sucar, Rafael Murrieta-Cid
Searching Objects in Known Environments: Empowering Simple Heuristic Strategies. RoboCup (2016)
Hugo Jair Escalante, Eduardo F. Morales, Luis Enrique Sucar
A naïve Bayes baseline for early gesture recognition. Pattern Recognit. Lett. 73 (2016)
Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales
Hierarchical multilabel classification based on path evaluation. Int. J. Approx. Reason. 68 (2016)
Manuel Mejía-Lavalle, Hermilo Victorio Meza, Alicia Martínez, Grigori Sidorov, Luis Enrique Sucar, Obdulia Pichardo-Lagunas
Toward Optimal Pedagogical Action Patterns by Means of Partially Observable Markov Decision Process. MICAI (2) (2016)
Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination (2016)
Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS (2016)
Alban Maxhuni, Pablo Hernandez-Leal, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora
Stress modelling and prediction in presence of scarce data. J. Biomed. Informatics 63 (2016)
Fernando Lezama, Ansel Y. Rodríguez González, Enrique Munoz de Cote, Luis Enrique Sucar
Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. EvoApplications (1) (2016)
Victor Alonso-Perez, Rogerio Enriqurez-Caldera, Juan Manuel Ramírez-Cortés, Luis Enrique Sucar
A foveation technique applied to face de-identification. ICPR (2016)
Samuel Antonio Montero-Hernández, Felipe Orihuela-Espina, Javier Herrera-Vega, Luis Enrique Sucar
Causal Probabilistic Graphical Models for Decoding Effective Connectivity in Functional Near InfraRed Spectroscopy. FLAIRS Conference (2016)
Patrick Heyer, Jesús Joel Rivas, Luis Enrique Sucar, Felipe Orihuela-Espina
Improving classification of posture based attributed attention assessed by ranked crowd-raters. PervasiveHealth (2015)
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
Out of context serious games: Transversal reutilization of games across healthcare domains. Comput. Syst. Sci. Eng. 30 (1) (2015)
Leonardo Chang, Airel Pérez Suárez, Máximo Rodríguez-Collada, José Hernández Palancar, Miguel O. Arias-Estrada, Luis Enrique Sucar
Assessing the Distinctiveness and Representativeness of Visual Vocabularies. CIARP (2015)
Pablo Hernandez-Leal, Alban Maxhuni, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora
Stress Modelling Using Transfer Learning in Presence of Scarce Data. AmIHEALTH (2015)
Alberto L. Morán, Cristina Ramirez-Fernandez, Victoria Meza-Kubo, Felipe Orihuela-Espina, Eloísa García-Canseco, Ana I. Grimaldo, Luis Enrique Sucar
On the Effect of Previous Technological Experience on the Usability of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. J. Medical Syst. 39 (9) (2015)
Yasmín Hernández, Gustavo Arroyo-Figueroa, Luis Enrique Sucar
A Model of Affect and Learning for Intelligent Tutors. J. Univers. Comput. Sci. 21 (7) (2015)
Gilberto Borrego, Alberto L. Morán, Arturo Jesús Laflor Hernández, Victoria Meza, Eloísa García-Canseco, Felipe Orihuela-Espina, Luis Enrique Sucar
Pilot Evaluation of a Collaborative Game for Motor Tele-Rehabilitation and Cognitive Stimulation of the Elderly. IWAAL (2015)
Annette Morales-González, Edel B. García Reyes, Luis Enrique Sucar
Unsupervised Segmentation Evaluation for Image Annotation. VISAPP (2) (2015)
Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar
Bidding in Non-Stationary Energy Markets. AAMAS (2015)
Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar, Eduardo F. Morales
Transfer learning for temporal nodes Bayesian networks. Appl. Intell. 43 (3) (2015)

Luis Enrique Sucar.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Luis Enrique Sucar