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ORCIDLuis Enrique Sucar
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- affiliation: National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico
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2020 – today
- 2024
[j76]Sergio A. Serrano
, José Martínez-Carranza, Luis Enrique Sucar:
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review. IEEE Access 12: 114552-114572 (2024)- [j75]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: 102434 (2024) - [i17]Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar:
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review. CoRR abs/2404.17687 (2024) - [i16]Jonathan Serrano-Pérez, Luis Enrique Sucar:
Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information. CoRR abs/2405.00184 (2024) - [i15]Jonathan Serrano-Pérez, Raquel Díaz-Hernández, Luis Enrique Sucar:
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies. CoRR abs/2405.02366 (2024) - 2023
- [j74]Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar:
CARL: A Synergistic Framework for Causal Reinforcement Learning. IEEE Access 11: 126462-126481 (2023) - [j73]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): 18147-18159 (2023) - [c175]Julio Muñoz Benítez, Luis Enrique Sucar:
Data Imputation with Adversarial Neural Networks for Causal Discovery from Subsampled Time Series. MICAI (2) 2023: 39-51 - [i14]Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar:
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning. CoRR abs/2312.03764 (2023) - 2022
- [j72]Verónica Rodríguez-López, Luis Enrique Sucar:
Knowledge transfer for causal discovery. Int. J. Approx. Reason. 143: 1-25 (2022) - [j71]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): 82 (2022) - [j70]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): 1183-1194 (2022) - [c174]Jonathan Serrano-Pérez, Luis Enrique Sucar:
Semi-supervised Hierarchical Classification Based on Local Information. IBERAMIA 2022: 255-266 - [c173]Miguel A. Palacios-Alonso, Hugo Jair Escalante, Luis Enrique Sucar:
Detecting and Identifying Global Visual Novelties in Driving Scenarios. IV 2022: 1649-1654 - [c172]Verónica Rodríguez-López, Luis Enrique Sucar:
Knowledge transfer for learning subject-specific causal models. PGM 2022: 385-396 - [c171]Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar:
Causal Discovery and Reinforcement Learning: A Synergistic Integration. PGM 2022: 421-432 - 2021
- [b2]Luis Enrique Sucar:
Probabilistic Graphical Models - Principles and Applications, Second Edition. Advances in Computer Vision and Pattern Recognition, Springer 2021, ISBN 978-3-030-61942-8, pp. 1-346 - [j69]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): 6201-6244 (2021) - [j68]Jonathan Serrano-Pérez, Luis Enrique Sucar:
Artificial datasets for hierarchical classification. Expert Syst. Appl. 182: 115218 (2021) - [j67]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): 82 (2021) - [j66]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): 42 (2021) - [j65]Reinier Oves García, Eduardo F. Morales, Luis Enrique Sucar:
Second-order motion descriptors for efficient action recognition. Pattern Anal. Appl. 24(2): 473-482 (2021) - [j64]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): 2313-2325 (2021) - [j63]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): 767-783 (2021) - [c170]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: 1-8 - [c169]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: 1288-1291 - [c168]Miguel A. Palacios-Alonso, Hugo Jair Escalante, Luis Enrique Sucar:
Perceptual and Pixel-Wise Information for Visual Novelty Detection. MCPR 2021: 251-260 - [c167]Ivan Feliciano-Avelino, Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar:
Causal Based Action Selection Policy for Reinforcement Learning. MICAI (1) 2021: 213-227 - [c166]Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar:
Inter-task Similarity Measure for Heterogeneous Tasks. RoboCup 2021: 40-52 - [i13]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 abs/2101.09397 (2021) - [i12]Sergio A. Serrano, Elizabeth Santiago, José Martínez-Carranza, Eduardo F. Morales, Luis Enrique Sucar:
Knowledge-Based Hierarchical POMDPs for Task Planning. CoRR abs/2103.10642 (2021) - 2020
- [j62]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): 2475-2495 (2020) - [j61]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: 224-231 (2020) - [j60]Arquímides Méndez-Molina, Ivan Feliciano-Avelino, Eduardo F. Morales, Luis Enrique Sucar:
Causal Based Q-Learning. Res. Comput. Sci. 149(3): 95-104 (2020) - [j59]Verónica Rodríguez-López, Luis Enrique Sucar, Felipe Orihuela-Espina:
Toward Knowledge Transfer for Learning Markov Equivalence Classes. Res. Comput. Sci. 149(3): 113-121 (2020) - [j58]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Causal Games and Causal Nash Equilibrium. Res. Comput. Sci. 149(3): 123-133 (2020) - [j57]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): 470-481 (2020) - [c165]Reinier Oves García, Luis Enrique Sucar:
What the Appearance Channel from Two-Stream Architectures for Activity Recognition Is Learning? MCPR 2020: 251-260 - [c164]Verónica Rodríguez-López, Luis Enrique Sucar:
Knowledge Transfer for Learning Markov Equivalence Classes. PGM 2020: 377-388 - [c163]Jonathan Serrano-Pérez, Luis Enrique Sucar:
PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python. PGM 2020: 625-628 - [i11]Rafael Morales-Gamboa, Luis Enrique Sucar:
Competence-Based Student Modelling with Dynamic Bayesian Networks. CoRR abs/2008.12114 (2020) - [i10]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 abs/2010.06164 (2020)
2010 – 2019
- 2019
- [j56]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): 103-123 (2019) - [j55]Elias Ruiz, Venet Osmani, Luis Enrique Sucar, Oscar Mayora:
Detecting dressing failures using temporal-relational visual grammars. J. Ambient Intell. Humaniz. Comput. 10(7): 2757-2770 (2019) - [j54]Oscar Mayora, Luis Enrique Sucar:
Editorial: Applications of Future Internet. Mob. Networks Appl. 24(5): 1639-1640 (2019) - [c162]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: 1-7 - [c161]Reinier Oves García, Eduardo F. Morales, Luis Enrique Sucar:
A Novel Scheme for Training Two-Stream CNNs for Action Recognition. CIARP 2019: 729-739 - [c160]Jonathan Serrano-Pérez, Luis Enrique Sucar:
Hierarchical Classification With Bayesian Networks and Chained Classifiers. FLAIRS 2019: 488-493 - [c159]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: 601-612 - [c158]Elizabeth Santiago, Sergio A. Serrano, Luis Enrique Sucar:
A Knowledge and Probabilistic Based Task Planning Architecture for Service Robotics. MICAI 2019: 646-657 - [c157]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: 661-674 - [c156]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: 308-313 - [i9]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
A Guiding Principle for Causal Decision Problems. CoRR abs/1902.02279 (2019) - [i8]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 abs/1905.05833 (2019) - [i7]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
von Neumann-Morgenstern and Savage Theorems for Causal Decision Making. CoRR abs/1907.11752 (2019) - [i6]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Causal Games and Causal Nash Equilibrium. CoRR abs/1910.06729 (2019) - 2018
- [j53]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): 70 (2018) - [j52]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: 1-15 (2018) - [j51]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): 1860014:1-1860014:31 (2018) - [j50]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: 155-161 (2018) - [c155]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: 413-421 - [c154]Ana Li Oña-García, Luis Enrique Sucar, Eduardo F. Morales:
A Distributed Probabilistic Model for Fault Diagnosis. IBERAMIA 2018: 42-53 - [c153]Reinier Oves García, Luis Valentin, José Martínez-Carranza, Luis Enrique Sucar:
A Fast Algorithm for Robot Localization Using Multiple Sensing Units. MCPR 2018: 248-257 - [c152]Samuel Antonio Montero-Hernández, Felipe Orihuela-Espina, Luis Enrique Sucar:
Intervals of Causal Effects for Learning Causal Graphical Models. PGM 2018: 296-307 - [c151]Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Sucar:
Circular Chain Classifiers. PGM 2018: 380-391 - [i5]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Playing against Nature: causal discovery for decision making under uncertainty. CoRR abs/1807.01268 (2018) - 2017
- [j49]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): 767-789 (2017) - [j48]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): 971-1002 (2017) - [j47]Juan Irving Vasquez-Gomez, Luis Enrique Sucar, Rafael Murrieta-Cid:
View/state planning for three-dimensional object reconstruction under uncertainty. Auton. Robots 41(1): 89-109 (2017) - [j46]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) - [j45]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): 23015 (2017) - [j44]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: 77-86 (2017) - [c150]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: 159-164 - [c149]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
Detecting Switches Against Non-Stationary Opponents. AAMAS 2017: 920-921 - [c148]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
An Exploration Strategy Facing Non-Stationary Agents. AAMAS 2017: 922-923 - [c147]Nazzira Guerrero-Jezzinin, Pablo H. Ibargüengoytia, Luis Enrique Sucar:
A Probabilistic Spatial-Temporal Model and its Application to Wind Prediction. FLAIRS 2017: 768-772 - [c146]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: 1279-1286 - [c145]Patrick Heyer, Luis R. Castrejon, Felipe Orihuela-Espina, Luis Enrique Sucar:
Automation of motor dexterity assessment. ICORR 2017: 521-526 - [c144]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: 259-267 - [c143]Reinier Oves García, Luis Valentin, Carlos Pérez-Risquet, Luis Enrique Sucar:
A Pathline-Based Background Subtraction Algorithm. MCPR 2017: 179-188 - 2016
- [j43]Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales:
Hierarchical multilabel classification based on path evaluation. Int. J. Approx. Reason. 68: 179-193 (2016) - [j42]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: 344-356 (2016) - [j41]Hugo Jair Escalante, Eduardo F. Morales, Luis Enrique Sucar:
A naïve Bayes baseline for early gesture recognition. Pattern Recognit. Lett. 73: 91-99 (2016) - [c142]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 - [c141]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: 1315-1316 - [c140]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: 491-506 - [c139]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 2016: 686-689 - [c138]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: 1436-1441 - [c137]Victor Alonso-Perez, Rogerio Enriqurez-Caldera, Juan Manuel Ramírez-Cortés, Luis Enrique Sucar:
A foveation technique applied to face de-identification. ICPR 2016: 4268-4273 - [c136]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: 473-480 - [c135]Ramon Izquierdo-Cordova, Eduardo F. Morales, Luis Enrique Sucar, Rafael Murrieta-Cid:
Searching Objects in Known Environments: Empowering Simple Heuristic Strategies. RoboCup 2016: 380-391 - [c134]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: 73-87 - 2015
- [b1]Luis Enrique Sucar:
Probabilistic Graphical Models - Principles and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2015, ISBN 978-1-4471-6698-6, pp. 3-246 - [j40]Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar, Eduardo F. Morales:
Transfer learning for temporal nodes Bayesian networks. Appl. Intell. 43(3): 578-597 (2015) - [j39]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) - [j38]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): 104:1-104:11 (2015) - [j37]Yasmín Hernández, Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
A Model of Affect and Learning for Intelligent Tutors. J. Univers. Comput. Sci. 21(7): 912-934 (2015) - [j36]Harold Vasquez Chavarria, Héctor Simon Vargas, Luis Enrique Sucar:
Using Gestures to Interact with a Service Robot using Kinect 2. Res. Comput. Sci. 96: 85-93 (2015) - [c133]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: 224-236 - [c132]Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar:
Bidding in Non-Stationary Energy Markets. AAMAS 2015: 1709-1710 - [c131]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS 2015: 1989-1990 - [c130]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: 331-338 - [c129]Jonathan Serrano Cuevas, Ansel Y. Rodríguez-González, Miguel A. Palacios-Alonso, Enrique Munoz de Cote, Luis Enrique Sucar:
Distributed energy procurement and management in smart environments. ISC2 2015: 1-6 - [c128]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: 42-48 - [c127]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: 277-279 - [c126]Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Sucar, Lorena Palafox, Jorge Hernández-Franco, Nadia Bianchi-Berthouze:
Detecting affective states in virtual rehabilitation. PervasiveHealth 2015: 287-292 - [c125]Annette Morales-González, Edel B. García Reyes, Luis Enrique Sucar:
Unsupervised Segmentation Evaluation for Image Annotation. VISAPP (2) 2015: 148-155 - [p2]Jesse Davis, Luis Enrique Sucar, Felipe Orihuela-Espina:
Treatment of Disease: The Role of Knowledge Representation for Treatment Selection. Foundations of Biomedical Knowledge Representation 2015: 235-241 - [p1]Luis Enrique Sucar, Shender Maria Ávila-Sansores, Felipe Orihuela-Espina:
User Modelling for Patient Tailored Virtual Rehabilitation. Foundations of Biomedical Knowledge Representation 2015: 259-278 - 2014
- [j35]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
A framework for learning and planning against switching strategies in repeated games. Connect. Sci. 26(2): 103-122 (2014) - [j34]Alejo Mosso Vázquez, David Juárez-Romero, Marco Antonio Cruz-Chavez, Luis Enrique Sucar:
Un método simplex KKT para resolver eficientemente programas lineales para análisis de la sujeción basado en la identificación de restricciones no atadas. Computación y Sistemas 18(2) (2014) - [j33]