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Eduardo F. Morales 0001

Eduardo F. Morales-Manzanares

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affiliation: National Institute of Astrophysics, Optics and Electronics (INAOEP), Puebla, Mexico

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2023
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Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar:
CARL: A Synergistic Framework for Causal Reinforcement Learning. IEEE Access 11: 126462-126481 (2023)
[j44]
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Nayma Cepero-Pérez, Mailyn Moreno-Espino, Eduardo F. Morales, Milton García-Borroto:
Progressive Forest: An Early Stopping Criteria For Building Ensembles. Computación y Sistemas (CyS) 27(1) (2023)
[j43]
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Sandra Eugenia Barajas Montiel, Eduardo F. Morales, Hugo Jair Escalante, Carlos Alberto Reyes García:
Automatic Selection of Multi-view Learning Techniques and Views for Pattern Recognition in Electroencephalogram Signals. Computación y Sistemas (CyS) 27(1) (2023)
[j42]
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Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games. Neural Comput. Appl. 35(25): 18099-18111 (2023)
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Leonardo Delgado, Eduardo F. Morales:
Shape completion using orthogonal views through a multi-input-output network. Pattern Anal. Appl. 26(3): 1045-1057 (2023)
2022
[j40]
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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)
2021
[j39]
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Eduardo F. Morales, Rafael Murrieta-Cid, Israel Becerra, Marco A. Esquivel-Basaldua:
A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning. Intell. Serv. Robotics 14(5): 773-805 (2021)
[j38]
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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)
[j37]
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Johnatan Oliveira, Markos Viggiato, Denis Pinheiro, Eduardo F. Morales:
Mining Experts from Source Code Analysis: An Empirical Evaluation. J. Softw. Eng. Res. Dev. 9: 1:1-1:16 (2021)
[j36]
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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)
[j35]
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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)
2020
[j34]
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Jonathan Serrano Cuevas, Eduardo F. Morales, Pablo Hernandez-Leal:
Safe reinforcement learning using risk mapping by similarity. Adapt. Behav. 28(4) (2020)
[j33]
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  - journals/rcs/Mendez-MolinaFM20
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Arquímides Méndez-Molina, Ivan Feliciano-Avelino, Eduardo F. Morales, Luis Enrique Sucar:
Causal Based Q-Learning. Res. Comput. Sci. 149(3): 95-104 (2020)
2019
[j32]
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Esteban Jaramillo-Cabrera, Eduardo F. Morales, José Martínez-Carranza:
Enhancing object, action, and effect recognition using probabilistic affordances. Adapt. Behav. 27(5) (2019)
[j31]
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  - journals/cys/PellegrinLOMGTG19
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Luis Pellegrin, Octavio Loyola-González, José Ortiz-Bejar, Miguel Angel Medina-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez, Daniela Moctezuma, Mauricio García-Limón, Alicia Morales-Reyes, Carlos A. Reyes García, Eduardo F. Morales, Hugo Jair Escalante:
Image Annotation as Text-Image Matching: Challenge Design and Results. Computación y Sistemas 23(4) (2019)
2018
[j30]
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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)
[j29]
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Ana Cecilia Tenorio-González, Eduardo F. Morales:
Automatic discovery of concepts and actions. Expert Syst. Appl. 92: 192-205 (2018)
2017
[j28]
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German Cuaya-Simbro, Elias Ruiz, Angélica Muñoz-Meléndez, Eduardo F. Morales:
Análisis de readmisión hospitalaria de pacientes diabéticos mediante aprendizaje computacional. Res. Comput. Sci. 138: 147-157 (2017)
2016
[j27]
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Enrique Munoz de Cote, Esteban Omar Garcia, Eduardo F. Morales:
Transfer learning by prototype generation in continuous spaces. Adapt. Behav. 24(6): 464-478 (2016)
[j26]
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Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales:
Hierarchical multilabel classification based on path evaluation. Int. J. Approx. Reason. 68: 179-193 (2016)
[j25]
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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)
[j24]
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Alban Maxhuni, Angélica Muñoz-Meléndez, Venet Osmani, Humberto Perez, Oscar Mayora, Eduardo F. Morales:
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients. Pervasive Mob. Comput. 31: 50-66 (2016)
[j23]
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Hugo Jair Escalante, Eduardo F. Morales, Luis Enrique Sucar:
A naïve Bayes baseline for early gesture recognition. Pattern Recognit. Lett. 73: 91-99 (2016)
[j22]
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Ana Cecilia Tenorio-González, Eduardo F. Morales:
Automatic discovery of relational concepts by an incremental graph-based representation. Robotics Auton. Syst. 83: 1-14 (2016)
2015
[j21]
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Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar, Eduardo F. Morales:
Transfer learning for temporal nodes Bayesian networks. Appl. Intell. 43(3): 578-597 (2015)
[j20]
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Hugo Jair Escalante, Mauricio A. García-Limón, Alicia Morales-Reyes, Mario Graff, Manuel Montes-y-Gómez, Eduardo F. Morales, José Martínez-Carranza:
Term-weighting learning via genetic programming for text classification. Knowl. Based Syst. 83: 176-189 (2015)
2014
[j19]
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Julio Noe Hernandez, Luis Enrique Sucar, Eduardo F. Morales:
Multidimensional hierarchical classification. Expert Syst. Appl. 41(17): 7671-7677 (2014)
[j18]
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Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales:
Transfer Learning for continuous State and Action Spaces. Int. J. Pattern Recognit. Artif. Intell. 28(7) (2014)
[j17]
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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
[j16]
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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)
[j15]
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Atlántida I. Sánchez, Eduardo F. Morales, Jesus A. Gonzalez:
Synthetic oversampling of Instances using Clustering. Int. J. Artif. Intell. Tools 22(2) (2013)
[j14]
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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)
[j13]
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German Cuaya-Simbro, Angélica Muñoz-Meléndez, Lidia Nuñez Carrera, Eduardo F. Morales, Ivett Quiñones-Urióstegui, Alberto Isaac Pérez-SanPablo, Aldo Alessi:
A dynamic Bayesian network for estimating the risk of falls from real gait data. Medical Biol. Eng. Comput. 51(1-2): 29-37 (2013)
2012
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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)
2010
[j11]
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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)
[j10]
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Julio H. Zaragoza, Eduardo F. Morales:
Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression. J. Intell. Learn. Syst. Appl. 2(2): 69-79 (2010)
[j9]
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Roger Luis, Luis Enrique Sucar, Eduardo F. Morales:
Inductive transfer for learning Bayesian networks. Mach. Learn. 79(1-2): 227-255 (2010)
2009
[j8]
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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)
2008
[j7]
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Carlos E. Mariano-Romero, Eduardo F. Morales-Manzanares:
Dynamic Behavior of Contaminants in the Water Distribution Network of Cuernavaca Mexico, a Real Application of Multiobjective Distributed Reinforcement Learning. Computación y Sistemas 11(3) (2008)
2007
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Silvia B. González-Brambila, Eduardo F. Morales:
Automatic generation of explanations: AGE. Eng. Appl. Artif. Intell. 20(3): 307-323 (2007)
[j5]
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Carlos E. Mariano-Romero, Víctor Alcocer-Yamanaka, Eduardo F. Morales:
Multi-objective optimization of water-using systems. Eur. J. Oper. Res. 181(3): 1691-1707 (2007)
2006
[j4]
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  - journals/cys/LarreTMST06
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Mónica Larre, José Torres-Jiménez, Eduardo F. Morales, Juan Frausto Solís, Sócrates Torres:
El Lenguaje MONIL, una Alternativa para la Integración de Datos. Computación y Sistemas 9(3) (2006)
2001
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Roberto Morales-Manzanares, Eduardo F. Morales, Roger B. Dannenberg, Jonathan Berger:
SICIB: An Interactive Music Composition System Using Body Movements. Comput. Music. J. 25(2): 25-36 (2001)
1997
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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)
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Eduardo F. Morales:
PAL: A Pattern-Based First-Order Inductive System. Mach. Learn. 26(2-3): 227-252 (1997)

Conference and Workshop Papers

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2022
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Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Model Compression for Deep Reinforcement Learning Through Mutual Information. IBERAMIA 2022: 196-207
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Sandra Eugenia Barajas Montiel, Eduardo F. Morales, Hugo Jair Escalante:
Multi-view Learning for EEG Signal Classification of Imagined Speech. MCPR 2022: 191-200
[c83]
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Arquímides Méndez-Molina, Eduardo F. Morales, Luis Enrique Sucar:
Causal Discovery and Reinforcement Learning: A Synergistic Integration. PGM 2022: 421-432
2021
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Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Multi-source Transfer Learning for Deep Reinforcement Learning. MCPR 2021: 131-140
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Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Source Task Selection in Time Series via Performance Prediction. MICAI (1) 2021: 121-130
[c80]
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Leonardo Delgado, Eduardo F. Morales:
DBSCAN Parameter Selection Based on K-NN. MICAI (1) 2021: 187-198
[c79]
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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
2019
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Reinier Oves García, Eduardo F. Morales, Luis Enrique Sucar:
A Novel Scheme for Training Two-Stream CNNs for Action Recognition. CIARP 2019: 729-739
[c77]
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  - conf/micai/Salazar-Colores19
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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
[c76]
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  - conf/pkdd/MadridEM19
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Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of Textual Representations. PKDD/ECML Workshops (1) 2019: 57-67
2018
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  - conf/ciarp/LopezPMME18
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Dante López, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Eduardo F. Morales, Hugo Jair Escalante:
Predicting Academic-Challenge Success. CIARP 2018: 874-883
[c74]
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Ana Li Oña-García, Luis Enrique Sucar, Eduardo F. Morales:
A Distributed Probabilistic Model for Fault Diagnosis. IBERAMIA 2018: 42-53
[c73]
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Ernesto Pérez Costa, Luis Villaseñor Pineda, Eduardo F. Morales, Hugo Jair Escalante:
Recognition of Apparent Personality Traits from Text and Handwritten Images. CVAUI/IWCF/MIPPSNA@ICPR 2018: 146-152
[c72]
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Sergio A. Serrano, Ricardo Benítez-Jimenez, Laura Nuñez-Rosas, Ma del Coro Arizmendi, Harold Greeney, Verónica Reyes-Meza, Eduardo F. Morales, Hugo Jair Escalante:
Automated Detection of Hummingbirds in Images: A Deep Learning Approach. MCPR 2018: 155-166
[c71]
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Ricardo Benítez-Jimenez, Eduardo F. Morales, Hugo Jair Escalante:
Bayesian Chain Classifier with Feature Selection for Multi-label Classification. MICAI (1) 2018: 232-243
2017
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Víctor Lobato-Ríos, Ana Cecilia Tenorio-González, Eduardo F. Morales:
Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network. MICAI (1) 2017: 41-53
2016
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  - conf/robocup/Izquierdo-Cordova16
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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
2015
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  - conf/amihealth/Hernandez-LealM15
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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
2014
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Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales:
Chained Path Evaluation for Hierarchical Multi-Label Classification. FLAIRS 2014
[c66]
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Mauricio García-Limón, Hugo Jair Escalante, Eduardo F. Morales, Alicia Morales-Reyes:
Simultaneous generation of prototypes and features through genetic programming. GECCO 2014: 517-524
[c65]
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Mauricio García-Limón, Hugo Jair Escalante, Manuel Montes-y-Gómez, Alicia Morales-Reyes, Eduardo F. Morales:
Towards the automated generation of term-weighting schemes for text categorization. GECCO (Companion) 2014: 1459-1460
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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
[c63]
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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
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Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales:
Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces. CIARP (1) 2013: 198-205
[c61]
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Mallinali Ramírez-Corona, Miguel Osorio-Ramos, Eduardo F. Morales:
A Non-temporal Approach for Gesture Recognition Using Microsoft Kinect. CIARP (2) 2013: 318-325
[c60]
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Yared Sabinas, Eduardo F. Morales, Hugo Jair Escalante:
A One-Shot DTW-Based Method for Early Gesture Recognition. CIARP (2) 2013: 439-446
[c59]
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Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar, Eduardo F. Morales:
A Transfer Learning Approach for Learning Temporal Nodes Bayesian Networks. FLAIRS 2013
[c58]
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Julio Noe Hernandez, Luis Enrique Sucar, Eduardo F. Morales:
A Hybrid Global-Local Approach for Hierarchical Classification. FLAIRS 2013
2012
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Dulce J. Navarrete, Eduardo F. Morales, Luis Enrique Sucar:
Unsupervised Learning of Visual Object Recognition Models. IBERAMIA 2012: 511-520
2011
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German Cuaya-Simbro, Angélica Muñoz-Meléndez, Eduardo F. Morales:
A Minority Class Feature Selection Method. CIARP 2011: 417-424
[c55]
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Adrián León, Eduardo F. Morales, Leopoldo Altamirano Robles, Jaime R. Ruiz:
Teaching a Robot to Perform Task through Imitation and On-line Feedback. CIARP 2011: 549-556
[c54]
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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
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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
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Julio H. Zaragoza, Luis Enrique Sucar, Eduardo F. Morales, Concha Bielza, Pedro Larrañaga:
Bayesian Chain Classifiers for Multidimensional Classification. IJCAI 2011: 2192-2197
2010
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Ana Cecilia Tenorio-González, Eduardo F. Morales, Luis Villaseñor Pineda:
Dynamic Reward Shaping: Training a Robot by Voice. IBERAMIA 2010: 483-492
[c50]
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  - conf/iberamia/MelendezSM10
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Augusto Meléndez, Luis Enrique Sucar, Eduardo F. Morales:
A Visual Grammar for Face Detection. IBERAMIA 2010: 493-502
[c49]
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José Alberto Méndez-Polanco, Angélica Muñoz-Meléndez, Eduardo F. Morales-Manzanares:
Detection of Multiple People by a Mobile Robot in Dynamic Indoor Environments. IBERAMIA 2010: 522-531
[c48]
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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
[c47]
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Ana Cristina Palacios-García, Angélica Muñoz-Meléndez, Eduardo F. Morales:
Collective Learning of Concepts using a Robot Team. ICINCO (2) 2010: 79-88
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Ana Cristina Palacios-García, Angélica Muñoz-Meléndez, Eduardo F. Morales:
Learning Concepts with Multi-robot Systems. ICINCO (Selected Papers) 2010: 253-265
[c45]
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  - conf/micai/ChangDSM10
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Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales:
Object Class Recognition Using SIFT and Bayesian Networks. MICAI (2) 2010: 56-66
[c44]
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Ana Cecilia Tenorio-González, Eduardo F. Morales, Luis Villaseñor Pineda:
Teaching a Robot to Perform Tasks with Voice Commands. MICAI (1) 2010: 105-116
[c43]
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Gerardo Arellano, Luis Enrique Sucar, Eduardo F. Morales:
Automatic Image Annotation Using Multiple Grid Segmentation. MICAI (1) 2010: 278-289
2009
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Elva Corona-Xelhuantzi, Eduardo F. Morales, Luis Enrique Sucar:
Executing concurrent actions with multiple Markov decision processes. ADPRL 2009: 82-89
[c41]
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Blanca Vargas-Govea, Eduardo F. Morales:
Learning Relational Grammars from Sequences of Actions. CIARP 2009: 892-900
[c40]
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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
[c39]
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Julio H. Zaragoza, Eduardo F. Morales:
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots. MICAI 2009: 337-348
[c38]
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José Alberto Méndez-Polanco, Angélica Muñoz-Meléndez, Eduardo F. Morales:
People Detection by a Mobile Robot Using Stereo Vision in Dynamic Indoor Environments. MICAI 2009: 349-359
2008
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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
[c36]
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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
[c35]
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Claudia Cruz, Luis Enrique Sucar, Eduardo F. Morales:
Real-time face recognition for human-robot interaction. FG 2008: 1-6
[c34]
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Roger Luis, Luis Enrique Sucar, Eduardo F. Morales:
Transfer Learning for Bayesian Networks. IBERAMIA 2008: 93-102
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Blanca Vargas-Govea, Eduardo F. Morales:
Solving navigation tasks with learned Teleo-Reactive Programs. IROS 2008: 4185
2007
[c32]
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Octavio Gómez, Jesús A. González, Eduardo F. Morales:
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning. CIARP 2007: 192-201
[c31]
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Heidy Marisol Marín Castro, Luis Enrique Sucar, Eduardo F. Morales:
Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers. CIARP 2007: 487-495
[c30]
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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
[c29]
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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
[c28]
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Carlos Eduardo Mariano, Victor Hugo Alcocer, Eduardo F. Morales:
Incremental refinement of solutions for multiple objective optimization problems. GECCO 2007: 910
[c27]
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Octavio Gómez, Eduardo F. Morales, Jesús A. González:
Weighted Instance-Based Learning Using Representative Intervals. MICAI 2007: 420-430
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Manuel Mejía-Lavalle, Eduardo F. Morales, Gustavo Arroyo-Figueroa:
Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-class. MICAI 2007: 452-461
2006
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Manuel Mejía-Lavalle, Eduardo F. Morales:
Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies. ICDM 2006: 284-296
[c24]
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Alberto Reyes, Luis Enrique Sucar, Eduardo F. Morales, Pablo H. Ibargüengoytia:
Solving Hybrid Markov Decision Processes. MICAI 2006: 227-236
[c23]
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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
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Carlos E. Mariano-Romero, Víctor Alcocer-Yamanaka, Eduardo F. Morales:
Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network. EMO 2005: 870-884
[c21]
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Roberto Morales, Eduardo F. Morales, David Wessel:
Combining audio and gestures for a Real-Time Improviser. ICMC 2005
2004
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Eduardo F. Morales, Claude Sammut:
Learning to fly by combining reinforcement learning with behavioural cloning. ICML 2004
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Manuel Mejía-Lavalle, Guillermo Rodríguez-Ortiz, Gustavo Arroyo-Figueroa, Eduardo F. Morales:
Feature Selection-Ranking Methods in a Very Large Electric Database. MICAI 2004: 292-301
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Giovani Gomez Estrada, Eduardo F. Morales, Huajian Gao:
How Does the Hue Contribute to Construct Better Colour Features? MICAI 2004: 602-611
2003
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Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
Solving the Global Localization Problem for Indoor Mobile Robots. CIARP 2003: 416-423
2002
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Mónica Larre, José Torres-Jiménez, Eduardo F. Morales, Sócrates Torres:
Data Integration Using the MONIL Language. ICEIS 2002: 115-120
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Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors. MICAI 2002: 51-60
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Eduardo F. Morales, Dulce Ma. Heredia, Andres F. Rodriguez:
Mining Road Accidents. MICAI 2002: 516-525
2001
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Carlos Eduardo Mariano, Eduardo F. Morales:
DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. ECML 2001: 324-335
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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
[c11]
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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
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Carlos Eduardo Mariano, Eduardo F. Morales:
Distributed reinforcement learning for multiple objective optimization problems. CEC 2000: 188-195
[c9]
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Roberto Morales, Eduardo F. Morales, Luis Enrique Sucar:
Integrating Bayesian Networks with Logic Programs for Music. ICMC 2000
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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
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Carlos Eduardo Mariano, Eduardo F. Morales:
A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning. MICAI 2000: 212-223
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Pablo Roberto de Buen-Rodríguez, Eduardo F. Morales, Sunil Vadera:
RuLess: A Method for the Acquisition and Simplification of Rules. MICAI 2000: 272-283
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Pablo H. Ibargüengoytia, Luis Enrique Sucar, Eduardo F. Morales:
Probabilistic Model-Based Diagnosis. MICAI 2000: 687-698
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Carlos Eduardo Mariano, Eduardo F. Morales:
A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems. IBERAMIA-SBIA 2000: 290-299
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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
1996
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Pablo Roberto de Buen-Rodríguez, Eduardo F. Morales, Sunil Vadera:
A Knowledge-Based Framework for Learning, Applying and Consulting Engineering Procedures. Intelligent Tutoring Systems 1996: 392-400
1991
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Eduardo F. Morales:
Learning Features by Experimentation in Chess. EWSL 1991: 494-511

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2008
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Alexander F. Gelbukh, Eduardo F. Morales:
MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008, Proceedings. Lecture Notes in Computer Science 5317, Springer 2008, ISBN 978-3-540-88635-8 [contents]

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2021
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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)
2019
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Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of textual representations. CoRR abs/1906.08934 (2019)
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Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag:
Towards AutoML in the presence of Drift: first results. CoRR abs/1907.10772 (2019)
2014
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Hugo Jair Escalante, Mauricio A. García-Limón, Alicia Morales-Reyes, Mario Graff, Manuel Montes-y-Gómez, Eduardo F. Morales:
Term-Weighting Learning via Genetic Programming for Text Classification. CoRR abs/1410.0640 (2014)

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