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ORCIDLuis Enrique Sucar
Person information
- affiliation: National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico
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Books and Theses
- 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- 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
Journal Articles
- 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) - 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) - 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) - 2021
- [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) - 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) - 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) - 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) - 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) - 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) - 2015
- [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) - 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]Julio Noe Hernandez, Luis Enrique Sucar, Eduardo F. Morales:
Multidimensional hierarchical classification. Expert Syst. Appl. 41(17): 7671-7677 (2014) - [j32]Luis Enrique Sucar, Concha Bielza, Eduardo F. Morales, Pablo Hernandez-Leal, Julio H. Zaragoza, Pedro Larrañaga:
Multi-label classification with Bayesian network-based chain classifiers. Pattern Recognit. Lett. 41: 14-22 (2014) - 2013
- [j31]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, Luis Enrique Sucar:
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks. Artif. Intell. Medicine 57(3): 185-195 (2013) - [j30]Pablo Hernandez-Leal, Jesus A. Gonzalez, Eduardo F. Morales, Luis Enrique Sucar:
Learning temporal nodes Bayesian networks. Int. J. Approx. Reason. 54(8): 956-977 (2013) - [j29]Carlos Arturo Hernández-Gracidas, Luis Enrique Sucar, Manuel Montes-y-Gómez:
Improving image retrieval by using spatial relations. Multim. Tools Appl. 62(2): 479-505 (2013) - [j28]Leonardo Chang, José Hernández Palancar, Luis Enrique Sucar, Miguel O. Arias-Estrada:
FPGA-based detection of SIFT interest keypoints. Mach. Vis. Appl. 24(2): 371-392 (2013) - 2012
- [j27]Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez:
Resumen de Tesis Doctoral Semantic Cohesion for Image Annotation and Retrieval. Computación y Sistemas 16(1) (2012) - [j26]Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales:
A Bayesian approach for object classification based on clusters of SIFT local features. Expert Syst. Appl. 39(2): 1679-1686 (2012) - [j25]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Multi-class particle swarm model selection for automatic image annotation. Expert Syst. Appl. 39(12): 11011-11021 (2012) - [j24]Luis Enrique Sucar, Laurent Perrussel:
Special section - Uncertain reasoning FLAIRS 2010. Int. J. Approx. Reason. 53(7): 927-928 (2012) - [j23]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Multimodal indexing based on semantic cohesion for image retrieval. Inf. Retr. 15(1): 1-32 (2012) - [j22]Esaú Villatoro-Tello, Antonio Juárez, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Luis Enrique Sucar:
Document ranking refinement using a Markov random field model. Nat. Lang. Eng. 18(2): 155-185 (2012) - [j21]Yasmín Hernández, Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
Survey on Understanding the Tutorial Actions based on Students' Affect. Res. Comput. Sci. 47: 49-57 (2012) - 2011
- [j20]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
An energy-based model for region-labeling. Comput. Vis. Image Underst. 115(6): 787-803 (2011) - [j19]Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features. Computación y Sistemas 14(4) (2011) - [j18]Kevin Grant, Luis Enrique Sucar:
Special section - Uncertain reasoning track FLAIRS 2009. Int. J. Approx. Reason. 52(7): 915-916 (2011) - 2010
- [j17]Hugo Jair Escalante, Carlos A. Hernández, Jesús A. González, Aurelio López-López, Manuel Montes-y-Gómez, Eduardo F. Morales, Luis Enrique Sucar, Luis Villaseñor Pineda, Michael Grubinger:
The segmented and annotated IAPR TC-12 benchmark. Comput. Vis. Image Underst. 114(4): 419-428 (2010) - [j16]Miguel A. Palacios-Alonso, Carlos A. Brizuela, Luis Enrique Sucar:
Evolutionary Learning of Dynamic Naive Bayesian Classifiers. J. Autom. Reason. 45(1): 21-37 (2010) - [j15]Roger Luis, Luis Enrique Sucar, Eduardo F. Morales:
Inductive transfer for learning Bayesian networks. Mach. Learn. 79(1-2): 227-255 (2010) - [j14]Esaú Villatoro-Tello, Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Luis Enrique Sucar:
A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval. Proces. del Leng. Natural 44 (2010) - 2009
- [j13]Alberto Reyes, Luis Enrique Sucar, Eduardo F. Morales:
AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation. Computación y Sistemas 13(1) (2009) - [j12]Yasmín Hernández Pérez, Luis Enrique Sucar, Gustavo Arroyo-Figueroa:
Desarrollo e Integración de un Modelo de Comportamiento Afectivo a un Sistema Tutor Inteligente. Rev. Iberoam. de Tecnol. del Aprendiz. 4(2): 161-169 (2009) - [j11]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Particle Swarm Model Selection. J. Mach. Learn. Res. 10: 405-440 (2009) - 2007
- [j10]Severino F. Galán, Gustavo Arroyo-Figueroa, Francisco Javier Díez, Luis Enrique Sucar:
Comparison of Two Types of Event Bayesian Networks: A Case Study. Appl. Artif. Intell. 21(3): 185-209 (2007) - [j9]Luis Enrique Sucar:
A Semi-Open Learning Environment for Mobile Robotics. Int. J. Online Eng. 3(2) (2007) - 2006
- [j8]Pablo H. Ibargüengoytia, Sunil Vadera, Luis Enrique Sucar:
A Probabilistic Model for Information and Sensor Validation. Comput. J. 49(1): 113-126 (2006) - 2005
- [j7]Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
Temporal Bayesian Network of Events for Diagnosis and Prediction in Dynamic Domains. Appl. Intell. 23(2): 77-86 (2005) - 2002
- [j6]Héctor Hugo Avilés-Arriaga, Luis Enrique Sucar:
Dynamic Bayesian networks for visual recognition of dynamic gestures. J. Intell. Fuzzy Syst. 12(3-4): 243-250 (2002) - 2001
- [j5]Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
Medical Diagnosis Using Temporal Probabilistic Networks. Computación y Sistemas 5(2) (2001) - 2000
- [j4]Luz Abril Torres-Méndez, J. Carlos Ruiz-Suárez, Luis Enrique Sucar, Giovani Gómez:
Translation, rotation, and scale-invariant object recognition. IEEE Trans. Syst. Man Cybern. Part C 30(1): 125-130 (2000) - 1997
- [j3]Luis Enrique Sucar, Joaquín Pérez-Brito, J. Carlos Ruiz-Suárez, Eduardo F. Morales:
Learning Structure from Data and Its Application to Ozone Prediction. Appl. Intell. 7(4): 327-338 (1997) - 1994
- [j2]Luis Enrique Sucar, Duncan Fyfe Gillies:
Probabilistic reasoning in high-level vision. Image Vis. Comput. 12(1): 42-60 (1994) - 1993
- [j1]Luis Enrique Sucar, Duncan Fyfe Gillies, D. A. Gillies:
Objective Probabilities in Expert Systems. Artif. Intell. 61(2): 187-208 (1993)
Conference and Workshop Papers
- 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 - 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
- [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 - 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 - 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 - 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 - 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
- [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
- [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 - 2014
- [c124]Leonardo Chang, Miguel O. Arias-Estrada, José Hernández Palancar, Luis Enrique Sucar:
Partial Shape Matching and Retrieval under Occlusion and Noise. CIARP 2014: 151-158 - [c123]Elias Ruiz, Luis Enrique Sucar:
Recognizing Visual Categories with Symbol-Relational Grammars and Bayesian Networks. CIARP 2014: 540-547 - [c122]Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales:
Chained Path Evaluation for Hierarchical Multi-Label Classification. FLAIRS 2014 - [c121]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA 2014: 536-547 - [c120]Leonardo Chang, Miguel O. Arias-Estrada, José Hernández Palancar, Luis Enrique Sucar:
An Efficient Shape Feature Extraction, Description and Matching Method Using GPU. ICPRAM (Selected Papers) 2014: 206-221 - [c119]Leonardo Chang, Miguel O. Arias-Estrada, Luis Enrique Sucar, José Hernández Palancar:
LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion. ICPRAM 2014: 429-437 - [c118]Juan Irving Vasquez-Gomez, Luis Enrique Sucar, Rafael Murrieta-Cid:
View planning for 3D object reconstruction with a mobile manipulator robot. IROS 2014: 4227-4233 - [c117]Alberto L. Morán, Victoria Meza, Cristina Ramirez-Fernandez, Ana I. Grimaldo, Eloísa García-Canseco, Felipe Orihuela-Espina, Luis Enrique Sucar:
Revisiting the User Experience of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. IWAAL 2014: 203-210 - [c116]Pablo H. Ibargüengoytia, Alberto Reyes, Inés Romero-Leon, David Pech, Uriel A. García, Luis Enrique Sucar, Eduardo F. Morales:
Wind Power Forecasting Using Dynamic Bayesian Models. MICAI (2) 2014: 184-197 - [c115]Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales:
Multi-label Classification for Tree and Directed Acyclic Graphs Hierarchies. Probabilistic Graphical Models 2014: 409-425 - 2013
- [c114]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Modeling non-stationary opponents. AAMAS 2013: 1135-1136 - [c113]Annette Morales-González, Edel B. García Reyes, Luis Enrique Sucar:
Improving Image Segmentation for Boosting Image Annotation with Irregular Pyramids. CIARP (1) 2013: 399-406 - [c112]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:
Borrowing a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. CLIHC 2013: 95-102 - [c111]Juan Irving Vasquez-Gomez, Luis Enrique Sucar, Rafael Murrieta-Cid:
Hierarchical Ray Tracing for Fast Volumetric Next-Best-View Planning. CRV 2013: 181-187 - [c110]Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar, Eduardo F. Morales:
A Transfer Learning Approach for Learning Temporal Nodes Bayesian Networks. FLAIRS 2013 - [c109]Julio Noe Hernandez, Luis Enrique Sucar, Eduardo F. Morales:
A Hybrid Global-Local Approach for Hierarchical Classification. FLAIRS 2013 - [c108]Maribel Angelica Marin, Luis Enrique Sucar, Jesus A. Gonzalez, Raquel Díaz:
A Hierarchical Model for Morphological Galaxy Classification. FLAIRS 2013 - [c107]Harold Vasquez Chavarria, Hugo Jair Escalante, Luis Enrique Sucar:
Simultaneous segmentation and recognition of hand gestures for human-robot interaction. ICAR 2013: 1-6 - [c106]Jose I. Figueroa-Angulo, Jesus Savage-Carmona, Ernesto Bribiesca-Correa, Boris Escalante-Ramírez, Ronald S. Leder, Luis Enrique Sucar:
Recognition of arm activities based on Hidden Markov Models for natural interaction with service robots. ICAR 2013: 1-8 - [c105]Harold Vasquez Chavarria, Luis Enrique Sucar, Hugo Jair Escalante:
Simultaneous Segmentation and Recognition of Gestures for Human-Machine Interaction. UDM@IJCAI 2013: 29 - [c104]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Strategic Interactions Among Agents with Bounded Rationality. IJCAI 2013: 3219-3220 - [c103]Elias Ruiz, Luis Enrique Sucar:
Object Recognition Based on Visual Grammars and Bayesian Networks. IJCAI 2013: 3241-3242 - [c102]Felipe Orihuela-Espina, Paloma Álvarez-Cardenas, Lorena Palafox, Israel Sánchez-Villavicencio, Alberto L. Morán, Jorge Hernández-Franco, Luis Enrique Sucar:
New Developments in the Gesture Therapy Platform - Past, Present and Future of our Research. NEUROTECHNIX 2013: 106-113 - [c101]Patrick Heyer, Javier Herrera-Vega, Dan-El N. Vila Rosado, Luis Enrique Sucar, Felipe Orihuela-Espina:
Posture Based Detection of Attention in Human Computer Interaction. PSIVT 2013: 220-229 - [c100]Elias Ruiz, Luis Enrique Sucar:
An Object Recognition Model Based on Visual Grammars and Bayesian Networks. PSIVT 2013: 349-359 - 2012
- [c99]Concepción Pérez de Célis, Thania Felix, Luis Enrique Sucar:
IMTHAC: Artwork image recovery system. CLEI 2012: 1-6 - [c98]Dulce J. Navarrete, Eduardo F. Morales, Luis Enrique Sucar:
Unsupervised Learning of Visual Object Recognition Models. IBERAMIA 2012: 511-520 - [c97]Annette Morales-González, Edel B. García Reyes, Luis Enrique Sucar:
Hierarchical Markov Random Fields with Irregular Pyramids for Improving Image Annotation. IBERAMIA 2012: 521-530 - [c96]Luis Enrique Sucar:
Probabilistic Graphical Models and Their Applications in Intelligent Environments. Intelligent Environments 2012: 11-15 - [c95]Pablo Hernandez-Leal, Lindsey Jennifer Fiedler-Cameras, Alma Rios-Flores, Jesus A. Gonzalez, Luis Enrique Sucar:
Contrasting Temporal Bayesian Network Models for Analyzing HIV Mutations. BMA 2012: 26-33 - 2011
- [c94]Elias Ruiz, Augusto Meléndez, Luis Enrique Sucar:
Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks. AGI 2011: 291-296 - [c93]Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez:
Learning Temporal Nodes Bayesian Networks. FLAIRS 2011 - [c92]Julio Cesar Zaragoza, Luis Enrique Sucar, Eduardo F. Morales:
A Two-Step Method to Learn Multidimensional Bayesian Network Classifiers Based on Mutual Information Measures. FLAIRS 2011 - [c91]Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez, Eduardo F. Morales, Pablo H. Ibargüengoytia:
Learning Temporal Bayesian Networks for Power Plant Diagnosis. IEA/AIE (1) 2011: 39-48 - [c90]Julio H. Zaragoza, Luis Enrique Sucar, Eduardo F. Morales, Concha Bielza, Pedro Larrañaga:
Bayesian Chain Classifiers for Multidimensional Classification. IJCAI 2011: 2192-2197 - [c89]Juan Irving Vasquez-Gomez, Luis Enrique Sucar:
Next-Best-View Planning for 3D Object Reconstruction under Positioning Error. MICAI (1) 2011: 429-442 - 2010
- [c88]Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Image Re-Ranking Based on Relevance Feedback Combining Internal and External Similarities. FLAIRS 2010 - [c87]Yasmín Hernández, Luis Enrique Sucar, Gustavo Arroyo-Figueroa:
Evaluating an Affective Student Model for Intelligent Learning Environments. IBERAMIA 2010: 473-482 - [c86]Augusto Meléndez, Luis Enrique Sucar, Eduardo F. Morales:
A Visual Grammar for Face Detection. IBERAMIA 2010: 493-502 - [c85]Javier Cabanillas, Eduardo F. Morales, Luis Enrique Sucar:
An Efficient Strategy for Fast Object Search Considering the Robot's Perceptual Limitations. IBERAMIA 2010: 552-561 - [c84]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Ensemble particle swarm model selection. IJCNN 2010: 1-8 - [c83]Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales:
Object Class Recognition Using SIFT and Bayesian Networks. MICAI (2) 2010: 56-66 - [c82]Gerardo Arellano, Luis Enrique Sucar, Eduardo F. Morales:
Automatic Image Annotation Using Multiple Grid Segmentation. MICAI (1) 2010: 278-289 - [c81]Carlos Arturo Hernández-Gracidas, Antonio Juárez, Luis Enrique Sucar, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Data fusion and label weighting for image retrieval based on spatio-conceptual information. RIAO 2010: 76-79 - 2009
- [c80]Elva Corona-Xelhuantzi, Eduardo F. Morales, Luis Enrique Sucar:
Executing concurrent actions with multiple Markov decision processes. ADPRL 2009: 82-89 - [c79]Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Hernández, Aurelio López-López, Manuel Montes-y-Gómez, Eduardo F. Morales, Elias Ruiz, Luis Enrique Sucar, Luis Villaseñor Pineda:
TIA-INAOE's Participation in ImageCLEF 2009. CLEF (Working Notes) 2009 - [c78]Francisco Elizalde, Luis Enrique Sucar:
Expert Evaluation of Probabilistic Explanations. ExaCt 2009: 1-12 - [c77]Kevin Grant, Luis Enrique Sucar:
Special Track on Uncertain Reasoning. FLAIRS 2009 - [c76]Yasmín Hernández, Luis Enrique Sucar, Cristina Conati:
Incorporating an Affective Behavior Model into an Educational Game. FLAIRS 2009 - [c75]Juan Irving Vasquez-Gomez, Efraín Lopez-Damian, Luis Enrique Sucar:
View planning for 3D object reconstruction. IROS 2009: 4015-4020 - [c74]Efraín Lopez-Damian, Gibran Etcheverry, Luis Enrique Sucar, Jesus Lopez-Estrada:
Probabilistic view planner for 3D modelling indoor environments. IROS 2009: 4021-4026 - [c73]Francisco Elizalde, Luis Enrique Sucar, Julieta Noguez, Alberto Reyes:
Generating Explanations Based on Markov Decision Processes. MICAI 2009: 51-62 - [c72]Luis Enrique Sucar, Ariel Molina, Ron S. Leder, Jorge Hernández, Israel Sánchez:
Gesture therapy: A clinical evaluation. PervasiveHealth 2009: 1-5 - 2008
- [c71]Luis Enrique Sucar, Ron S. Leder, David J. Reinkensmeyer, Jorge Hernández, Gildardo Azcárate, Nallely Casteñeda, Pedro Saucedo:
Gesture Therapy - A Low-Cost Vision-Based System for Rehabilitation after Stroke. HEALTHINF (2) 2008: 107-111 - [c70]Luis Enrique Sucar, Gildardo Azcárate, Ron S. Leder, David J. Reinkensmeyer, Jorge Hernández, Israel Sanchez, Pedro Saucedo:
Gesture Therapy: A Vision-Based System for Arm Rehabilitation after Stroke. BIOSTEC (Selected Papers) 2008: 531-540 - [c69]Hugo Jair Escalante, Jesús A. González, Carlos A. Hernández, Aurelio López-López, Manuel Montes-y-Gómez, Eduardo F. Morales, Luis Enrique Sucar, Luis Villaseñor Pineda:
Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval. CLEF 2008: 669-676 - [c68]Hugo Jair Escalante, Jesús A. González, Carlos A. Hernández, Aurelio López-López, Manuel Montes-y-Gómez, Eduardo F. Morales, Luis Enrique Sucar, Luis Villaseñor Pineda:
TIA-INAOE Participation at ImageCLEF 2008. CLEF (Working Notes) 2008 - [c67]Francisco Elizalde, Luis Enrique Sucar, Julieta Noguez, Alberto Reyes:
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation. ExaCt 2008: 25-36 - [c66]Claudia Cruz, Luis Enrique Sucar, Eduardo F. Morales:
Real-time face recognition for human-robot interaction. FG 2008: 1-6 - [c65]G. Eliezer Quintana, Luis Enrique Sucar, Gildardo Azcárate, Ron S. Leder:
Qualification of arm gestures using hidden Markov models. FG 2008: 1-6 - [c64]Miriam Martínez, Luis Enrique Sucar:
Learning Dynamic Naive Bayesian Classifiers. FLAIRS 2008: 655-659 - [c63]Miguel A. Palacios-Alonso, Carlos A. Brizuela, Luis Enrique Sucar:
Evolutionary Learning of Dynamic Naive Bayesian Classifiers. FLAIRS 2008: 660-665 - [c62]Roger Luis, Luis Enrique Sucar, Eduardo F. Morales:
Transfer Learning for Bayesian Networks. IBERAMIA 2008: 93-102 - [c61]Yasmín Hernández, Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
Evaluating a Probabilistic Model for Affective Behavior in an Intelligent Tutoring System. ICALT 2008: 408-412 - [c60]Yasmín Hernández, Luis Enrique Sucar, Cristina Conati:
An Affective Behavior Model for Intelligent Tutors. Intelligent Tutoring Systems 2008: 819-821 - [c59]Yasmín Hernández, Luis Enrique Sucar, Gustavo Arroyo-Figueroa:
Building an Affective Model for Intelligent Tutoring Systems with Base on Teachers' Expertise. MICAI 2008: 754-764 - [c58]Hugo Jair Escalante, Carlos A. Hernández, Luis Enrique Sucar, Manuel Montes-y-Gómez:
Late fusion of heterogeneous methods for multimedia image retrieval. Multimedia Information Retrieval 2008: 172-179 - 2007
- [c57]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Improving Automatic Image Annotation Based on Word Co-occurrence. Adaptive Multimedia Retrieval 2007: 57-70 - [c56]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
Word Co-occurrence and Markov Random Fields for Improving Automatic Image Annotation. BMVC 2007: 1-10 - [c55]Heidy Marisol Marín Castro, Luis Enrique Sucar, Eduardo F. Morales:
Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers. CIARP 2007: 487-495 - [c54]Hugo Jair Escalante, Carlos A. Hernández, Aurelio López-López, Heidy M. Marín, Manuel Montes-y-Gómez, Eduardo F. Morales, Luis Enrique Sucar, Luis Villaseñor Pineda:
TIA-INAOE's Participation at ImageCLEF 2007. CLEF (Working Notes) 2007 - [c53]Hugo Jair Escalante, Carlos A. Hernández, Aurelio López-López, Heidy Marisol Marín Castro, Manuel Montes-y-Gómez, Eduardo F. Morales, Luis Enrique Sucar, Luis Villaseñor Pineda:
Towards Annotation-Based Query and Document Expansion for Image Retrieval. CLEF 2007: 546-553 - [c52]Francisco Elizalde, Luis Enrique Sucar, Alberto Reyes, Pablo deBuen:
An MDP Approach for Explanation Generation. ExaCt 2007: 28-33 - [c51]Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge. IJCNN 2007: 678-683 - [c50]Carlos Arturo Hernández-Gracidas, Luis Enrique Sucar:
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation. PSIVT 2007: 879-892 - [c49]Julieta Noguez, Luis Enrique Sucar, Enrique David Espinosa:
A Probabilistic Relational Student Model for Virtual Laboratories. User Modeling 2007: 303-308 - 2006
- [c48]José Antonio Montero, Luis Enrique Sucar:
Context-Based Gesture Recognition. CIARP 2006: 764-773 - [c47]José Antonio Montero, Luis Enrique Sucar:
A Decision-Theoretic Video Conference System Based on Gesture Recognition. FGR 2006: 387-392 - [c46]Miriam Martinez-Arroyo, Luis Enrique Sucar, Héctor-Gabriel Acosta-Mesa, Nicandro Cruz-Ramírez:
Bayesian Model Combination and Its Application to Cervical Cancer Detection. IBERAMIA-SBIA 2006: 622-631 - [c45]Francisco Elizalde, Luis Enrique Sucar, Pablo deBuen:
An Intelligent Assistant for Training of Power Plant Operators. ICALT 2006: 205-207 - [c44]Miriam Martinez-Arroyo, Luis Enrique Sucar:
Learning an Optimal Naive Bayes Classifier. ICPR (4) 2006: 958 - [c43]Héctor Hugo Avilés-Arriaga, Luis Enrique Sucar, Carlos E. Mendoza:
Visual Recognition of Similar Gestures. ICPR (1) 2006: 1100-1103 - [c42]Miriam Martinez-Arroyo, Luis Enrique Sucar:
Learning an Optimal Naive Bayes Classifier. ICPR (3) 2006: 1236-1239 - [c41]Antonio J. Vallejo, Rubén Morales-Menéndez, Ciro A. Rodríguez, Luis Enrique Sucar:
Diagnosis of a Cutting Tool in a Machining Center. IJCNN 2006: 3706-3713 - [c40]Gustavo Arroyo-Figueroa, Yasmín Hernández, Luis Enrique Sucar:
Intelligent Environment for Training of Power Systems Operators. KES (1) 2006: 943-950 - [c39]Alberto Reyes, Luis Enrique Sucar, Eduardo F. Morales, Pablo H. Ibargüengoytia:
Solving Hybrid Markov Decision Processes. MICAI 2006: 227-236 - [c38]Alberto Reyes, Pablo H. Ibargüengoytia, Luis Enrique Sucar, Eduardo F. Morales:
Abstraction and Refinement for Solving Continuous Markov Decision Processes. Probabilistic Graphical Models 2006: 263-270 - 2005
- [c37]Antonio Vallejo Jr., Juan Arturo Nolazco-Flores, Rubén Morales-Menéndez, Luis Enrique Sucar, Ciro A. Rodríguez:
Tool-Wear Monitoring Based on Continuous Hidden Markov Models. CIARP 2005: 880-890 - [c36]Julieta Noguez, Luis Enrique Sucar:
A Probabilistic Relational Student Model for Virtual Laboratories. ENC 2005: 2-9 - [c35]Yasmín Hernández, Julieta Noguez, Luis Enrique Sucar, Gustavo Arroyo-Figueroa:
A Probabilistic Model of Affective Behavior for Intelligent Tutoring Systems. MICAI 2005: 1175-1184 - [c34]Julieta Noguez, Luis Enrique Sucar:
A Semi-open Learning Environment for Virtual Laboratories. MICAI 2005: 1185-1194 - [c33]Yandi Ricano, Jaqueline Hernandez, Luis Enrique Sucar, Oscar Mayora:
User preferences for effective task completion while interacting with a robotic conversational animated face. RO-MAN 2005: 478-483 - 2004
- [c32]Rocío Díaz de León, Luis Enrique Sucar:
A Graphical Model for Human Activity Recognition. CIARP 2004: 350-357 - [c31]Sergio Ortiz-Gama, Luis Enrique Sucar, Rodriguez Rodriguez:
Clustering Gene Expression Data: An Experimental Analysis. ENC 2004: 168-175 - [c30]José Antonio Montero, Luis Enrique Sucar:
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models. ENC 2004: 196-203 - [c29]Severino F. Galán, Gustavo Arroyo-Figueroa, Francisco Javier Díez, Luis Enrique Sucar:
Comparative Evaluation of Temporal Nodes Bayesian Networks and Networks of Probabilistic Events in Discrete Time. MICAI 2004: 498-507 - [c28]Alberto Reyes, Pablo H. Ibargüengoytia, Luis Enrique Sucar:
Power Plant Operator Assistant: An Industrial Application of Factored MDPs. MICAI 2004: 565-573 - 2003
- [c27]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
Solving the Global Localization Problem for Indoor Mobile Robots. CIARP 2003: 416-423 - 2002
- [c26]Rocío Díaz de León, Luis Enrique Sucar:
Recognition of Continuous Activities. IBERAMIA 2002: 875-881 - [c25]Rocío Díaz de León, Luis Enrique Sucar:
Continuous Activity Recognition with Missing Data. ICPR (1) 2002: 439-446 - [c24]Giovani Gómez, Luis Enrique Sucar, Duncan Fyfe Gillies:
The pq-Histogram as a Navigation Clue. ICRA 2002: 3362-3367 - [c23]Giovani Gómez, Luis Enrique Sucar, Duncan Fyfe Gillies:
Navigation Advice from pq-Histograms. MICAI 2002: 31-40 - [c22]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors. MICAI 2002: 51-60 - [c21]Giovani Gómez, M. Sanchez, Luis Enrique Sucar:
On Selecting an Appropriate Colour Space for Skin Detection. MICAI 2002: 69-78 - 2001
- [c20]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
An Exploration and Navigation Approach For Indoor Mobile Robots Considering Sensor's Perceptual Limitations. ICRA 2001: 3092-3097 - [c19]Jaime Solano-Soto, Luis Enrique Sucar:
A Methodology for Reliable Systems Design. IEA/AIE 2001: 734-745 - [c18]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
An Hybrid Approach to Solve the Global Localization Problem For Indoor Mobile Robots Considering Sensorms Perceptual Limitations. IJCAI 2001: 1411-1416 - 2000
- [c17]Roberto Morales, Eduardo F. Morales, Luis Enrique Sucar:
Integrating Bayesian Networks with Logic Programs for Music. ICMC 2000 - [c16]Rocío Díaz de León, Luis Enrique Sucar:
Human Silhouette Recognition with Fourier Descriptors. ICPR 2000: 3713-3716 - [c15]Giovani Gómez, Luis Enrique Sucar, José L. Marroquín:
Probabilistic Estimation of Local Scale. ICPR 2000: 3798-3801 - [c14]Andres F. Rodriguez, Sunil Vadera, Luis Enrique Sucar:
A Probabilistic Exemplar-Based Model for Case-Based Reasoning. MICAI 2000: 40-51 - [c13]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
Learning Probabilistic Grid-Based Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors. MICAI 2000: 158-169 - [c12]Pablo H. Ibargüengoytia, Luis Enrique Sucar, Eduardo F. Morales:
Probabilistic Model-Based Diagnosis. MICAI 2000: 687-698 - [c11]Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
EDAS - Event-Disturbance Analysis System for Fossil Power Plants Operation. MICAI 2000: 706-717 - [c10]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
A Robust Exploration and Navigation Approach for Indoor Mobile Robots Merging Local and Global Strategies. IBERAMIA-SBIA 2000: 389-398 - 1999
- [c9]Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
A Temporal Bayesian Network for Diagnosis and Prediction. UAI 1999: 13-20 - 1998
- [c8]José G. Torres-Toledano, Luis Enrique Sucar:
Bayesian Networks for Reliability Analysis of Complex Systems. IBERAMIA 1998: 195-206 - [c7]Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera:
Any Time Probabilistic Reasoning for Sensor Validation. UAI 1998: 266-273 - 1997
- [c6]Pablo H. Ibargüengoytia, Sunil Vadera, Luis Enrique Sucar:
A Layered, Any Time Approach to Sensor Validation. ECSQARU-FAPR 1997: 336-349 - [c5]Andres F. Rodriguez, Sunil Vadera, Luis Enrique Sucar:
A Probabilistic Model for Case-Based Reasoning. ICCBR 1997: 623-632 - 1996
- [c4]Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera:
A Probabilistic Model for Sensor Validation. UAI 1996: 332-339 - 1992
- [c3]Luis Enrique Sucar, Duncan Fyfe Gillies:
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. UAI 1992: 303-309 - 1991
- [c2]Luis Enrique Sucar, Duncan Fyfe Gillies:
Handling Uncertainty in Knowledge-Based Computer Vision. ECSQARU 1991: 328-332 - 1990
- [c1]Luis Enrique Sucar, Duncan Fyfe Gillies:
Knowledge-based Assistant for Colonscopy. IEA/AIE (Vol. 2) 1990: 665-672
Parts in Books or Collections
- 2015
- [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
Editorship
- 2013
- [e4]Xiaoping Chen, Peter Stone, Luis Enrique Sucar, Tijn van der Zant:
RoboCup 2012: Robot Soccer World Cup XVI [papers from the 16th Annual RoboCup International Symposium, Mexico City, Mexico, June 18-24, 2012]. Lecture Notes in Computer Science 7500, Springer 2013, ISBN 978-3-642-39249-8 [contents] - 2004
- [e3]Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar, Juan Humberto Sossa Azuela:
MICAI 2004: Advances in Artificial Intelligence, Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings. Lecture Notes in Computer Science 2972, Springer 2004, ISBN 3-540-21459-3 [contents] - 2002
- [e2]Carlos A. Coello Coello, Alvaro de Albornoz, Luis Enrique Sucar, Osvaldo Cairó Battistutti:
MICAI 2002: Advances in Artificial Intelligence, Second Mexican International Conference on Artificial Intelligence, Merida, Yucatan, Mexico, April 22-26, 2002, Proceedings. Lecture Notes in Computer Science 2313, Springer 2002, ISBN 3-540-43475-5 [contents] - 2000
- [e1]Osvaldo Cairó, Luis Enrique Sucar, Francisco J. Cantu:
MICAI 2000: Advances in Artificial Intelligence, Mexican International Conference on Artificial Intelligence, Acapulco, Mexico, April 11-14, 2000, Proceedings. Lecture Notes in Computer Science 1793, Springer 2000, ISBN 3-540-67354-7 [contents]
Informal and Other Publications
- 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
- [i14]Sergio A. Serrano, José Martínez-Carranza, Luis Enrique Sucar:
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning. CoRR abs/2312.03764 (2023) - 2021
- [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
- [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) - 2019
- [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
- [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) - 2013
- [i4]Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
A Temporal Bayesian Network for Diagnosis and Prediction. CoRR abs/1301.6675 (2013) - [i3]Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera:
Any Time Probabilistic Reasoning for Sensor Validation. CoRR abs/1301.7386 (2013) - [i2]Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera:
A Probabilistic Model For Sensor Validation. CoRR abs/1302.3585 (2013) - [i1]Luis Enrique Sucar, Duncan Fyfe Gillies:
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. CoRR abs/1303.5432 (2013)
Coauthor Index
Hugo Jair Escalante
aka: Hugo Jair Escalante Balderas
aka: Hugo Jair Escalante Balderas
Jesus A. Gonzalez
aka: Jesús A. González
aka: Jesús A. González
Yasmín Hernández
aka: Yasmín Hernández Pérez
aka: Yasmín Hernández Pérez
[j74] [j71] [j67] [j65] [j64] [j60] [j52] [j43] [j42] [j41] [j40] [j33] [j32] [j31] [j30] [j26] [j17] [j15] [j13] [j3] [c171] [c167] [c161] [c159] [c154] [c135] [c133] [c122] [c116] [c115] [c110] [c109] [c98] [c92] [c91] [c90] [c86] [c85] [c83] [c82] [c80] [c79] [c69] [c68] [c66] [c62] [c55] [c54] [c53] [c39] [c38] [c27] [c22] [c20] [c18] [c17] [c13] [c12] [c10] [i12]
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