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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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2020 – today
- 2024
- [c86]Yareli Aburto Sánchez
, Eduardo F. Morales
Incremental Learning for Object Classification in a Real and Dynamic World. MICAI (1) 2024: 185-197 - 2023
- [j45]Arquímides Méndez-Molina
CARL: A Synergistic Framework for Causal Reinforcement Learning. IEEE Access 11: 126462-126481 (2023) - [j44]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]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]Jesús García-Ramírez
Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games. Neural Comput. Appl. 35(25): 18099-18111 (2023) - [j41]Leonardo Delgado
Shape completion using orthogonal views through a multi-input-output network. Pattern Anal. Appl. 26(3): 1045-1057 (2023) - 2022
- [j40]Heikel Yervilla-Herrera, Israel Becerra
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) - [c85]Jesús García-Ramírez
Model Compression for Deep Reinforcement Learning Through Mutual Information. IBERAMIA 2022: 196-207 - [c84]Sandra Eugenia Barajas Montiel
Multi-view Learning for EEG Signal Classification of Imagined Speech. MCPR 2022: 191-200 - [c83]Arquímides Méndez-Molina
Causal Discovery and Reinforcement Learning: A Synergistic Integration. PGM 2022: 421-432 - 2021
- [j39]Eduardo F. Morales, Rafael Murrieta-Cid
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]Sergio A. Serrano
Knowledge-Based Hierarchical POMDPs for Task Planning. J. Intell. Robotic Syst. 101(4): 82 (2021) - [j37]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]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]Alban Maxhuni, Pablo Hernandez-Leal, Eduardo F. Morales
Unobtrusive Stress Assessment Using Smartphones. IEEE Trans. Mob. Comput. 20(6): 2313-2325 (2021) - [c82]Jesús García-Ramírez
Multi-source Transfer Learning for Deep Reinforcement Learning. MCPR 2021: 131-140 - [c81]Jesús García-Ramírez
Source Task Selection in Time Series via Performance Prediction. MICAI (1) 2021: 121-130 - [c80]Leonardo Delgado
DBSCAN Parameter Selection Based on K-NN. MICAI (1) 2021: 187-198 - [c79]Ivan Feliciano-Avelino
Causal Based Action Selection Policy for Reinforcement Learning. MICAI (1) 2021: 213-227 - [i4]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
- [j34]Jonathan Serrano Cuevas
Safe reinforcement learning using risk mapping by similarity. Adapt. Behav. 28(4) (2020) - [j33]Arquímides Méndez-Molina, Ivan Feliciano-Avelino, Eduardo F. Morales, Luis Enrique Sucar:
Causal Based Q-Learning. Res. Comput. Sci. 149(3): 95-104 (2020)
2010 – 2019
- 2019
- [j32]Esteban Jaramillo-Cabrera, Eduardo F. Morales, José Martínez-Carranza
Enhancing object, action, and effect recognition using probabilistic affordances. Adapt. Behav. 27(5) (2019) - [j31]Luis Pellegrin, Octavio Loyola-González, José Ortiz-Bejar
Image Annotation as Text-Image Matching: Challenge Design and Results. Computación y Sistemas 23(4) (2019) - [c78]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]Sebastián Salazar-Colores
A Fast and Robust Deep Learning Approach for Hand Object Grasping Confirmation. MICAI 2019: 601-612 - [c76]Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of Textual Representations. PKDD/ECML Workshops (1) 2019: 57-67 - [i3]Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of textual representations. CoRR abs/1906.08934 (2019) - [i2]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) - 2018
- [j30]Javier Herrera-Vega, Felipe Orihuela-Espina
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]Ana Cecilia Tenorio-González, Eduardo F. Morales:
Automatic discovery of concepts and actions. Expert Syst. Appl. 92: 192-205 (2018) - [c75]Dante López, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Eduardo F. Morales, Hugo Jair Escalante:
Predicting Academic-Challenge Success. CIARP 2018: 874-883 - [c74]Ana Li Oña-García, Luis Enrique Sucar, Eduardo F. Morales:
A Distributed Probabilistic Model for Fault Diagnosis. IBERAMIA 2018: 42-53 - [c73]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]Sergio A. Serrano, Ricardo Benítez-Jimenez, Laura Nuñez-Rosas
Automated Detection of Hummingbirds in Images: A Deep Learning Approach. MCPR 2018: 155-166 - [c71]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
- [j28]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) - [c70]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
- [j27]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]Mallinali Ramírez-Corona, Luis Enrique Sucar
Hierarchical multilabel classification based on path evaluation. Int. J. Approx. Reason. 68: 179-193 (2016) - [j25]Alban Maxhuni, Pablo Hernandez-Leal
Stress modelling and prediction in presence of scarce data. J. Biomed. Informatics 63: 344-356 (2016) - [j24]Alban Maxhuni, Angélica Muñoz-Meléndez, Venet Osmani, Humberto Perez, Oscar Mayora
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients. Pervasive Mob. Comput. 31: 50-66 (2016) - [j23]Hugo Jair Escalante
A naïve Bayes baseline for early gesture recognition. Pattern Recognit. Lett. 73: 91-99 (2016) - [j22]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) - [c69]Ramon Izquierdo-Cordova
Searching Objects in Known Environments: Empowering Simple Heuristic Strategies. RoboCup 2016: 380-391 - 2015
- [j21]Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar
Transfer learning for temporal nodes Bayesian networks. Appl. Intell. 43(3): 578-597 (2015) - [j20]Hugo Jair Escalante, Mauricio A. García-Limón, Alicia Morales-Reyes
Term-weighting learning via genetic programming for text classification. Knowl. Based Syst. 83: 176-189 (2015) - [c68]Pablo Hernandez-Leal
Stress Modelling Using Transfer Learning in Presence of Scarce Data. AmIHEALTH 2015: 224-236 - 2014
- [j19]Julio Noe Hernandez
Multidimensional hierarchical classification. Expert Syst. Appl. 41(17): 7671-7677 (2014) - [j18]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]Luis Enrique Sucar
Multi-label classification with Bayesian network-based chain classifiers. Pattern Recognit. Lett. 41: 14-22 (2014) - [c67]Mallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales:
Chained Path Evaluation for Hierarchical Multi-Label Classification. FLAIRS 2014 - [c66]Mauricio García-Limón, Hugo Jair Escalante, Eduardo F. Morales
Simultaneous generation of prototypes and features through genetic programming. GECCO 2014: 517-524 - [c65]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 - [c64]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]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 - [i1]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) - 2013
- [j16]Pablo Hernandez-Leal
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks. Artif. Intell. Medicine 57(3): 185-195 (2013) - [j15]Atlántida I. Sánchez, Eduardo F. Morales
Synthetic oversampling of Instances using Clustering. Int. J. Artif. Intell. Tools 22(2) (2013) - [j14]Pablo Hernandez-Leal
Learning temporal nodes Bayesian networks. Int. J. Approx. Reason. 54(8): 956-977 (2013) - [j13]German Cuaya-Simbro, Angélica Muñoz-Meléndez, Lidia Nuñez Carrera, Eduardo F. Morales
A dynamic Bayesian network for estimating the risk of falls from real gait data. Medical Biol. Eng. Comput. 51(1-2): 29-37 (2013) - [c62]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]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]Yared Sabinas, Eduardo F. Morales
A One-Shot DTW-Based Method for Early Gesture Recognition. CIARP (2) 2013: 439-446 - [c59]Lindsey Jennifer Fiedler-Cameras, Luis Enrique Sucar, Eduardo F. Morales:
A Transfer Learning Approach for Learning Temporal Nodes Bayesian Networks. FLAIRS 2013 - [c58]Julio Noe Hernandez
A Hybrid Global-Local Approach for Hierarchical Classification. FLAIRS 2013 - 2012
- [j12]Leonardo Chang
A Bayesian approach for object classification based on clusters of SIFT local features. Expert Syst. Appl. 39(2): 1679-1686 (2012) - [c57]Dulce J. Navarrete, Eduardo F. Morales
Unsupervised Learning of Visual Object Recognition Models. IBERAMIA 2012: 511-520 - 2011
- [c56]German Cuaya-Simbro, Angélica Muñoz-Meléndez, Eduardo F. Morales
A Minority Class Feature Selection Method. CIARP 2011: 417-424 - [c55]Adrián León, Eduardo F. Morales
Teaching a Robot to Perform Task through Imitation and On-line Feedback. CIARP 2011: 549-556 - [c54]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 - [c53]Pablo Hernandez-Leal
Learning Temporal Bayesian Networks for Power Plant Diagnosis. IEA/AIE (1) 2011: 39-48 - [c52]Julio H. Zaragoza, Luis Enrique Sucar
Bayesian Chain Classifiers for Multidimensional Classification. IJCAI 2011: 2192-2197 - 2010
- [j11]Hugo Jair Escalante
The segmented and annotated IAPR TC-12 benchmark. Comput. Vis. Image Underst. 114(4): 419-428 (2010) - [j10]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]Roger Luis, Luis Enrique Sucar
Inductive transfer for learning Bayesian networks. Mach. Learn. 79(1-2): 227-255 (2010) - [c51]Ana Cecilia Tenorio-González, Eduardo F. Morales
Dynamic Reward Shaping: Training a Robot by Voice. IBERAMIA 2010: 483-492 - [c50]Augusto Meléndez, Luis Enrique Sucar
A Visual Grammar for Face Detection. IBERAMIA 2010: 493-502 - [c49]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]Javier Cabanillas, Eduardo F. Morales
An Efficient Strategy for Fast Object Search Considering the Robot's Perceptual Limitations. IBERAMIA 2010: 552-561 - [c47]Ana Cristina Palacios-García, Angélica Muñoz-Meléndez, Eduardo F. Morales:
Collective Learning of Concepts using a Robot Team. ICINCO (2) 2010: 79-88 - [c46]Ana Cristina Palacios-García, Angélica Muñoz-Meléndez, Eduardo F. Morales
Learning Concepts with Multi-robot Systems. ICINCO (Selected Papers) 2010: 253-265 - [c45]Leonardo Chang
Object Class Recognition Using SIFT and Bayesian Networks. MICAI (2) 2010: 56-66 - [c44]Ana Cecilia Tenorio-González, Eduardo F. Morales
Teaching a Robot to Perform Tasks with Voice Commands. MICAI (1) 2010: 105-116 - [c43]Gerardo Arellano, Luis Enrique Sucar
Automatic Image Annotation Using Multiple Grid Segmentation. MICAI (1) 2010: 278-289
2000 – 2009
- 2009
- [j8]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) - [c42]Elva Corona-Xelhuantzi, Eduardo F. Morales
Executing concurrent actions with multiple Markov decision processes. ADPRL 2009: 82-89 - [c41]Blanca Vargas-Govea, Eduardo F. Morales
Learning Relational Grammars from Sequences of Actions. CIARP 2009: 892-900 - [c40]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]Julio H. Zaragoza, Eduardo F. Morales
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots. MICAI 2009: 337-348 - [c38]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
- [j7]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) - [c37]Hugo Jair Escalante, Jesús A. González
Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval. CLEF 2008: 669-676 - [c36]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]Claudia Cruz, Luis Enrique Sucar
Real-time face recognition for human-robot interaction. FG 2008: 1-6 - [c34]Roger Luis, Luis Enrique Sucar
Transfer Learning for Bayesian Networks. IBERAMIA 2008: 93-102 - [c33]Blanca Vargas-Govea, Eduardo F. Morales
Solving navigation tasks with learned Teleo-Reactive Programs. IROS 2008: 4185 - [e1]Alexander F. Gelbukh
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] - 2007
- [j6]Silvia B. González-Brambila
Automatic generation of explanations: AGE. Eng. Appl. Artif. Intell. 20(3): 307-323 (2007) - [j5]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) - [c32]Octavio Gómez
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning. CIARP 2007: 192-201 - [c31]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]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]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]Carlos Eduardo Mariano, Victor Hugo Alcocer, Eduardo F. Morales
Incremental refinement of solutions for multiple objective optimization problems. GECCO 2007: 910 - [c27]Octavio Gómez
Weighted Instance-Based Learning Using Representative Intervals. MICAI 2007: 420-430 - [c26]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
- [j4]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) - [c25]Manuel Mejía-Lavalle, Eduardo F. Morales:
Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies. ICDM 2006: 284-296 - [c24]Alberto Reyes, Luis Enrique Sucar, Eduardo F. Morales, Pablo H. Ibargüengoytia:
Solving Hybrid Markov Decision Processes. MICAI 2006: 227-236 - [c23]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
- [c22]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]Roberto Morales, Eduardo F. Morales, David Wessel:
Combining audio and gestures for a Real-Time Improviser. ICMC 2005 - 2004
- [c20]Eduardo F. Morales, Claude Sammut:
Learning to fly by combining reinforcement learning with behavioural cloning. ICML 2004 - [c19]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 - [c18]Giovani Gomez Estrada, Eduardo F. Morales, Huajian Gao:
How Does the Hue Contribute to Construct Better Colour Features? MICAI 2004: 602-611 - 2003
- [c17]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
Solving the Global Localization Problem for Indoor Mobile Robots. CIARP 2003: 416-423 - 2002
- [c16]Mónica Larre, José Torres-Jiménez, Eduardo F. Morales, Sócrates Torres:
Data Integration Using the MONIL Language. ICEIS 2002: 115-120 - [c15]Leonardo Romero, Eduardo F. Morales, Luis Enrique Sucar:
An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors. MICAI 2002: 51-60 - [c14]Eduardo F. Morales, Dulce Ma. Heredia, Andres F. Rodriguez:
Mining Road Accidents. MICAI 2002: 516-525 - 2001
- [j3]Roberto Morales-Manzanares, Eduardo F. Morales
SICIB: An Interactive Music Composition System Using Body Movements. Comput. Music. J. 25(2): 25-36 (2001) - [c13]Carlos Eduardo Mariano, Eduardo F. Morales:
DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning. ECML 2001: 324-335 - [c12]Leonardo Romero, Eduardo F. Morales
An Exploration and Navigation Approach For Indoor Mobile Robots Considering Sensor's Perceptual Limitations. ICRA 2001: 3092-3097 - [c11]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
- [c10]Carlos Eduardo Mariano, Eduardo F. Morales
Distributed reinforcement learning for multiple objective optimization problems. CEC 2000: 188-195 - [c9]Roberto Morales, Eduardo F. Morales, Luis Enrique Sucar:
Integrating Bayesian Networks with Logic Programs for Music. ICMC 2000 - [c8]Leonardo Romero, Eduardo F. Morales
Learning Probabilistic Grid-Based Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors. MICAI 2000: 158-169 - [c7]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 - [c6]Pablo Roberto de Buen-Rodríguez, Eduardo F. Morales
RuLess: A Method for the Acquisition and Simplification of Rules. MICAI 2000: 272-283 - [c5]Pablo H. Ibargüengoytia, Luis Enrique Sucar
Probabilistic Model-Based Diagnosis. MICAI 2000: 687-698 - [c4]Carlos Eduardo Mariano, Eduardo F. Morales:
A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems. IBERAMIA-SBIA 2000: 290-299 - [c3]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
1990 – 1999
- 1997
- [j2]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) - [j1]Eduardo F. Morales:
PAL: A Pattern-Based First-Order Inductive System. Mach. Learn. 26(2-3): 227-252 (1997) - 1996
- [c2]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
- [c1]Eduardo F. Morales:
Learning Features by Experimentation in Chess. EWSL 1991: 494-511
Coauthor Index
Jesus A. Gonzalez
aka: Jesús A. González
aka: Jesús A. González
[j45] [j40] [c83] [j38] [j36] [j35] [c79] [i4] [j33] [c78] [c77] [j30] [c74] [j26] [j25] [j23] [c69] [j21] [c68] [j19] [j17] [c67] [c64] [c63] [j16] [j14] [c59] [c58] [j12] [c57] [c54] [c53] [c52] [j11] [j9] [c50] [c48] [c45] [c43] [j8] [c42] [c40] [c37] [c36] [c35] [c34] [c31] [c30] [c29] [c24] [c23] [c17] [c15] [c12] [c11] [c9] [c8] [c5] [c3] [j2]
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