2021

• E.F. Morales, R. Murrieta-Cid. I. Becerra, M.A. Esquivel-Basaldua (2021) A Survey on Deep Learning and Deep Reinforcement Learning in Robotics with a Tutorial on Deep Reinforcement Learning. Intelligent Service Robotics. link
• J. García-Ramírez, E.F. Morales, H.J. Escalante (2021). Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games. Neural Computing and Applications pp. 1-13 link
• G. Cuaya-Simbro, A.I. Perez-Sanpablo, E.F. Morales, I. Quiñones Uriostegui, and L. Nuñez-Carrera (2021). Comparing Machine Learning Methods to Improve Fall Risk Detection in Elderly with Osteoporosis from Balance Data. Jounal of Healthcare Engineering, Volume 2021, Article ID 8697805, 11 pages, link
• S. Serrano, E. Santiago, J. Martinez-Carranza, E. Morales, L.E. Sucar (2021) Knowledge-Based Hierarchical POMDPs for Task Planning Journal of Intelligent & Robotic Systems 101:82 link
• H. Jair Escalante, E.F. Morales (2021). Dimensionality Reduction. In Biosignal Processing and Classification using Computational Learning and Intelligence. A. Torres-García, C.A. Reyes-García, L. Villaseñor-Pineda, O. Mendoza-Montoya (Eds.). Elsevier. pp. 93-108. link
• E.F. Morales, H. Jair Escalante (2021). A brief introduction to supervised, unsupervised, and reinforcement learning. In Biosignal Processing and Classification using Computational Learning and Intelligence. A. Torres-García, C.A. Reyes-García, L. Villaseñor-Pineda, O. Mendoza-Montoya (Eds.). Elsevier. pp. 111-129. link
• I. Feliciano-Avelino, A. Méndez-Molina, E.F. Morales, L.E. Sucar (2021). Causal based Action Selection Policy for Reinforcement Learning. In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2021), I. Batyrshin et al. (Eds.). LNAI 13067, pp. 213-227. link
• L. Delgado, E.F. Morales (2021). DBSCAN Parameter selection based on K-NN. In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2021), I. Batyrshin et al. (Eds.). LNAI 13067, pp. 187-198. link
• J. García-Ramírez, E.F. Morales, H. Jair Escalante (2021). Source Task Selection in Time Series via Performance Prediction. In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2021), I. Batyrshin et al. (Eds.). LNAI 13067, pp. 121-130. link
• J. García-Ramírez, E.F. Morales, H. Jair Escalante (2021). Multi-source transfer learning for deep reinforcement learning. In Proc. of the Mexican Conference on Pattern Recognition (MCPR). Lecture Notes in Computer Science (LNCS). pg. 131-140. Springer. link

2020

• A. Gonzalez-Mendez, D. Martin, E. Morales, M. Garcia-Barroto (2020). Evaluating Pattern Restrictions for Associative Classifiers. Intelligent Data Analysis 24(51):105-122. link
• R. Oves, E.F. Morales, L.E. Sucar (2020). Second Order Motion Descriptors For Efficient Action Recognition, Pattern Analysis and Applications Journal 24(2): 473-482, 2021. link
• A. Reyes, L.E. Sucar, P.H. Ibarguengoytia, E.F. Morales (2020) Planning under uncertainty applications in power plants using factored markov decision processes. Energies 2020, 13(9), 2302 link
• Alban Maxhuni, Pablo Hernadez-Leal, Eduardo F Morales, Enrique Sucar, Venet Osmani, Oscar Mayora (2020). Unobtrusive Stress Assessment Using Smartphones IEEE Transactions on Mobile Computing 20(6): 2312-2325. link
• G. Cuaya-Simbro, A.I. Perez-Sanpablo, A. Muñoz-Melendez, I. Quiñones Uriostegui, E.F. Morales-Manzanares, L. Nuñez-Carrera (2020). Comparison of Machine Learning Models to Predict Risk of Falling in Osteoporosis Elderly. Foundations of Computing and Decision Sciences 45(2): 65-77. link
• A.Y. Rodriguez Gonzalez, E. Morales, L.E. Sucar (2020). COLDPower: El agente inteligente mexicano de mercados de energía. Komputer Sapiens 12(2): 18-21. ISSN: 2683-1546
• E. Morales (2020). La Inteligencia Artificial y algunas aplicaciones. Transición Energética 21(2): 18-21. ISSN: 2683-1546
• A. Méndes Molina, I.F. Avelino, E.F. Morales, E. Sucar (2020). Causal Based Q-Learning. Research in Computing Science 149(3): 95-104 PDF

2019

• O. Loyola-González, J. Ortiz-Bejar, M.A. Medina-Pérez, A.E. Gutiérrez-Rodríguez, E.S. Tellez, M. Graff, S. Miranda-Jiménez, D. Moctezuma, M. García-Limón, A. Morales-Reyes, C.A. Reyes-García, E. Morales, H. Jair Escalante (2019). Image Annotation as Text-Image Matching: Challenge Design and Results. Computación y Sistemas Vol 23, No 4 link
• J. Serrano-Cuevas, E.F. Morales, P. Hernández-Leal (2019). Safe reinforcement learning using risk mapping by similarity. Adaptive Behavior 28(4):213-224. link
• A.Y. Rodríguez González, M. Palacios Alonso, F. Lezama, L. Rodríguez, E. Muñoz de Cote, E.F. Morales, L.E. Sucar, D.D. Crockett (2019). A competitive and profitable multi-agent autonomous broker for energy markets. Sustainable Cities and Society 49 (2019)
• R. Oves García, E.F. Morales, L.E. Sucar (2019). A novel scheme for training two-stream CNNs for action recognition. In Proc. of the Iberoamerican Congress on Pattern Recognition (CIARP). LNCS 11896, pgs. 729-739. Springer.
• S. Salazar-Colores, A. Méndez-Molina, D. Carrillo-López, E. Escobar-Juárez, E.F. Morales, L.E. Sucar (2019). A fast and robust deep learning approach for hand object grasping confirmation. In Proc. Mexican International Conference on Artificial Intelligence (MICAI), LNAI 11835, pgs. 601-612. Springer-Verlag (best student paper award).
• J. Madrid, H. Jair Escalante, E. Morales (2019). Meta-learning of textual representations. In ECML/PKDD Workshop of Automatic Data Science (ADS): 57-67.

2018

• J. Herrera-Vega, F. Orihuela-Espina, P.H. Ibargüengoytia, U.A. García, D. Vila Rosado, E.F. Morales, L.E. Sucar (2018). A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry. Engineering Applications of Artificial Intelligence 70: 1-15. PDF
• P. Ibargüengoytia, J. Herrera-Vega, U.A. García, L.E. Sucar, E.F. Morales (2018). Autoregressive Bayesian Networks for Information Validation and amendment in military applications. Pages 129-150. In Militarty Applications of Data Analytics, Kevin Huggins (editor). CRC Press - Taylor & Francis Group. ISBN-10: 9781498799768, ISBN-13: 978-1498799768. PDF
• L.E. Sucar, E.F. Morales (2018). Procesos de Decisión de Markov y Aprendizaje por Refuerzo. Capítulo 13, pags. 535-588. In Inteligencia Artificial, ISBN 9786076226964. Sidorov (editor). Alfaomega Grupo Editor. PDF
• A.L. Oña, L.E. Sucar, E.F. Morales (2018). Distributed Probabilistic Model for sensor validation in combinatorial logic circuit. In Proc. 16th. Ibero-American Conference on Artificial Intelligence (IBERAMIA), pgs. 42-53. Lecture Notes in Computer Science (LNCS), volumen 11238. G.R. Simari, E. Fermé, F. Gutierrez Segura, J.A. Rodríguez Melquiades (editores), Springer. PDF
• D. López, H.J. Escalante, L. Villaseñor-Pineda, E. Morales, M. Montes-y-Gómez (2018). Predicting academic challenge success from competition proposals. 23rd. Iberoamerican Congress on Pattern Recognition (CIARP). LNCS. PDF
• J. Serrano-Cuevas, E.F. Morales, P. Hernádez-Leal, D. Bloembergen, M. Kaisers (2018). Learning on a budget using distributional RL. Workhop en International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2018). PDF
• R. Benitez Jimenez, E.F. Morales, H.J. Escalante (2018). Bayesian Chain Classifier with Feature Selection for Multi-label Classificatoin. In Proc. 17th. Mexican International Conference on Artificial Intelligence (MICAI). Lecture Notes in Artificial Intelligence (LNAI), vol. 11288. I. Batyshin, M.L. Martínez-Villaseñor, H.E. Ponce Espinosa (editores). PDF
• S.S. Serrano, R. Benítez Jimenez, L. Nuñez-Rosas, M. Arizmendi, H. Greeney, V. Reyes-Meza, E. Morales, H.J. Escalante (2018). Automated Detection of Hummingbirds in Images: a Deep Learning Approach. In Proc. of the 10th. Mexican Conference on Pattern Recognition (MCPR). pgs. 155-166. J.F. Martínez-Trinidad et al. (eds.). Lecture Notes in Computer Science (LNCS), 10880, Springer. PDF

2017

• A.C. Tenorio, E.F. Morales (2017). Automatic Discovery of Concepts and Actions. Expert Systems with Applications 92: 192-205. PDF
• J. Serrano Cuevas, E. Morales Manzanares (2017). An exploration strategy for RL with considerations of budget and risk. In Proc. of the 9th. Mexican Conference on Pattern Recognition (MCPR). J.A. Carrasco-Ochoa, J.F. Martínez-Trinidad, J.A. Olvera-López (eds.). Lecture Notes in Computer Science (LNCS), 10267, Springer. PDF
• V. Lobato-Rios, A.C. Tenorio-Gonzalez, E.F. Morales (2018). Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network. In Proc. of the Mexican International de Inteligencia Artificial (MICAI). LNAI - 10632, Springer. PDF
• L. Pellegrin, H.J. Escalante, A. Morales, E.F. Morales, C.A. Reyes-Garcia (2017). Overview of the 2017 RedICA Text-Image Matching (RICATIM) Challengue. In Proc. of the IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2017) PDF
• E. Morales, C.A. Reyes-García, H.J. Escalante, A. Morales (2017). Aprendizaje e Inteligencia Computacional, pgs. 65-90, dentro del libro ``La Computación en México por Especialidades Academicas'', L.A. Pineda (editor). AMEXCOMP. ISBN: 978-607-97357-1-5. PDF

2016

• A. Maxhuni, P. Hernandez-Leal, L.E. Sucar, V. Osmani, E.F. Morales, O. Mayora (2016). Stress Modelling and Prediction in Presence of Scarce Data. Journal of Biomedical Informatics 63: 344-356. PDF
• E. Munoz de Cote, E.O. Garcia, E.F. Morales (2016). Transfer Learning by Prototype Generation in Continuous Spaces. Adaptive Behavior: 1-15. PDF
• A.C. Tenorio, E.F. Morales (2016). Automatic discovery of relational concepts by an incremental graph-based representation. Robotics and Autonomous Systems. PDF
• A. Maxhuni, A. Muñoz-Meléndez, V. Osmani, H. Perez, O. Mayora, E.F. Morales (2016). Classification of bipolar disorder based on analysis of voice and motor activity of patients. Pervasive and Mobile Computing PDF
• M. Ramirez-Corona, L.E. Sucar, E.F. Morales (2016). Hierarchical multilabel classification based on path evaluation, International Journal of Approximate Reasoning 68: 179-193. PDF
• H.J. Escalante, E.F. Morales, L.E. Sucar (2016). A naive Bayes baseline for early gesture recognition. Pattern Recognition Letters 73: 91-99. PDF
• A. Maxhuni, P. Hernandez-Leal, E.F. Morales, L.E. Sucar, V. Osmani, A. Muñoz-Melendez and O. Mayora (2016). Using Intermediate Models and Knowledge Learning to Improve Stress Prediction. In Future Internet e-health Conference (FI-eHealth), Puebla, Mexico, May 2016. PDF
• A.C. Tenorio-González, E.F. Morales (2016). ADC: Concept Discovery and Learning of Actions for Unknown Environments. Abstraction in Reinforcement Learning Workshop of the International Conference on Machine Learning (ICML). PDF
• R. Izquierdo-Cordova, E.F. Morales, L.E. Sucar, R. Murrieta-Cid (2016). Searching Objects in Known Environments: Empowering Simple Heuristic Strategies. RoboCup International Symposium. PDF
• R. Izquierdo-Cordova, E.F. Morales, L.E. Sucar (2016). Object Location Estimation in Domestic Environments through Internet Queries. Workshop on Autonomous Mobile Service Robots at International Joint Conference on Artificial Intelligence (IJCAI). PDF
• S. Rajsbaum, E. Morales (2016). Editor del número especial: Norbert Wiener y el origen de la cibernética. \emph{Ciencia} 67(1): 6-11. Revista de la Academia Mexicana de Ciencias. PDF

2015

• H.J. Escalante, M.A. Garcia-Limon. A. Morales-Reyes, M. Graff, M. Montes-y-Gomez, E.F. Morales, J. Martinez Carranza (2015). Term-Weighting Learning via Genetic Programming for Text Classification. Knowledge-Based Systems, pp. 176-189. PDF
• L.J. Fiedler, L.E. Sucar, E.F. Morales (2015). Transfer Learning for Temporal Nodes Bayesian Networks. \emph{Applied Intelligence} 43:578-597. PDF
• P. Hernández-Leal, A. Maxhuni, L.E. Sucar, V. Osmani, E.F. Morales, O. Mayora (2015). Stress Modelling Using Transfer Learning in Presence of Scarce Data. In Proc. of the International Conference on Ambient Intelligence for Health (AmIHEALTH), pp. 224-236. Lecture Notes in Computer Science (LNCS-9456), Springer. PDF
• M. García Limón, H.J. Escalante, E. Morales, L Villaseñor Pineda. Class-specific feature generation for 1NN through genetic programming. Proceedings of the XVII IEEE Autumn Meeting of Power, Electronics and Computer Science ROPEC 2015, IEEE. PDF

2014

• L.E. Sucar, C. Bielza, E.F. Morales, P. Hernandez-Leal, J.H. Zaragoza, P. Larranaga (2014). Multi-label Classification with Bayesian Network-based Chain Classifiers. Pattern Recognition Letters 41: 14-22. PDF
• E. Omar, E. Munoz de Cote, E.F. Morales (2014). Transfer Learning for Continuous State and Action Spaces. International Journal of Pattern Recognition and Artificial Inteligence (IJPRAI) Vol. 28, No. 7. PDF
• J. Hernandez, L.E. Sucar, E.F. Morales (2014). Multidimensional hierarchical classification. Expert Systems with Applications 41 (17): 7671-7677. PDF
• M. Ramirez-Corona, L.E. Sucar, E.F. Morales (2014). Multi-label Classification for Tree and Directed Acyclic Graphs Hierarchies. 7th. European Workshop on Probabilistic Graphical Models (PGM-2014). Lecture Notes in Computer Science (LNCS) Volume 8754. Editors. L. van de Gaag, A.J. Feelders, pp. 409-425. PDF
• A.C. Tenorio, E.F. Morales (2014). Incremental Graph-Based Discovery of Relational Concepts. 24th. International Conference on Inductive Logic Programming (ILP). PDF
• M. Garcia-Limon, H.J. Escalante, E.F. Morales, A. Morales-Reyes (2014). Simultaneous Generation of Prototypes and Feaures through Genetic Programming. In Proc. of the Genetic and Evolutionary Computation Conference GECCO-2014, PP. 517-524. ACM. PDF
• M. Garcia-Limon, H.J. Escalante, E.F. Morales, A. Morales-Reyes (2014). Towards the automated generation of term-weighting schemes for text classification. In Proc. of the Genetic and Evolutionary Computation Conference GECCO-2014, pp. 1459-1460. ACM. PDF
• M. Ramirez-Corona, L.E. Sucar, E.F. Morales (2014). Chained path Evaluation for Hierarchical Multi-Label Classification. In Proc. of the 27th. Florida Artificial Intelligences Research Society Conference FLAIRS-2014. pp. 502-507. AAAI Press. PDF

2013

• A.I. Sanchez, E.F. Morales, J.A. Gonzalez (2013) Synthetic Oversampling of Instances using Clustering. International Journal on Artificial Intelligence Tools 22(2): 1-21 PDF
• P. Hernandez-Leal, A. Rios-Flores, S. Avila-Rios, G. Reyes-Teran, J.A. Gonzalez, L. Fiedler-Cameras, F. Orihuela-Espina, E.F. Morales, L.E. Sucar (2013). Discovering human immunodeficiency virus mutational pathways using temporal Bayesian Networks. Artificial Intelligence in Medicine 57(3): 185-195. PDF
• P. Hernandez-Leal, J.A. Gonzalez, E.F. Morales, L.E. Sucar (2013). Learning Temporal Nodes Bayesian Networks. International Journal of Approximate Reasoning 54 (8): 956-977. PDF
• G. Cuaya, A. Munoz-Melendez, L. Nunez Carrera, E.F. Morales, I. Quinones, A.I. Perez, A. Alessi (2013). A Dynamic Bayesian Network for Estimating the Risk of Falls from Real Gait Data. Med Biol Eng Comput 51(1-2):29-37. PDF
• E. Morales (2013). Educando al nino computacional de Turing. Ciencia 64(4): 32-39. Revista de la Academia Mexicana de Ciencias. PDF
• M. Ramirez-Corona, M. Osorio-Ramos, E.F. Morales (2013). A non-temporal approach for gesture recognition using Microsoft Kinect. In Proc. of the 18th. Iberoamerican Congress on Pattern Recognition. J. Ruiz-Schucloper, G. Sanniti di Baja (Eds.), Lecture Notes in Computer Science LNCS 8259, pp. 318-325, Springer-Verlag. PDF
• E. Omar, E. Munoz de Cote, E.F. Morales (2013). Qualitative transfer for reinforcement learning with continuous state and action spaces. In Proc. of the 18th. Iberoamerican Congress on Pattern Recognition. J. Ruiz-Schucloper, G. Sanniti di Baja (Eds.), Lecture Notes in Computer Science LNCS 8258, pp. 198-205, Springer-Verlag. PDF
• Y. Sabines, E.F. Morales, H.J. Escalante (2013). A one-shot DTW-based method for early gesture recognition. In Proc. of the 18th. Iberoamerican Congress on Pattern Recognition. J. Ruiz-Schucloper, G. Sanniti di Baja (Eds.), Lecture Notes in Computer Science LNCS 8259, pp. 439-446, Springer-Verlag. PDF
• J. Hernandez, L.E. Sucar, E.F. Morales (2013). A Hybrid Global-Local Approach for Hierarchical Classification. In Proc. of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013, pp. 432-437, AAAI Press. PDF
• L. Fiedler Cameras, L.E. Sucar, E.F. Morales (2013). A Transfer Learning Approach for Learning Temporal Nodes Bayesian Networks. In Proc. of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013, pp. 637-440, AAAI Press (Best Poster Award). PDF

2012

• D.J. Navarrete, E.F. Morales, L.E. Sucar (2012). Unsupervised Learning of Visual Object Recognition Models. In Proc. Iberoamerican Conference on Artificial Intelligence (IBERAMIA-2012), pp. 511-520. Lecture Notes on Artificial Intelligence (LNAI 7637), Springer. PDF
• P. Hernández-Leal, F. Orihuela-Espina, L.E. Sucar, E.F. Morales (2012). Hybrid Binary-Chain Multi-label Classifiers (2012). In Proc. 6th. European Workshop on Probabilistic Graphical Models (PGM-2012), pp. 139-146. A. Cano, M. G\'omez-Olmedo, T.D. Nielsen (eds.). Copicentro editorial, Espa\~na. PDF
• L.E. Sucar, E.F. Morales (2012). Robotnik, trabajador del futuro. Conversus 97: 4-6. Revista de Divulgación del Instituto Politécnico Nacional. PDF
• J. Herrera-ega, F. Orihuela-Espina, E.F. Morales, L.E. Sucar (2012). A framework for oil well production data validation. Proc. of ORADM. PDF

2011

• L. Chang, M.M. Duarte, L.E. Sucar, E.F. Morales (2011). A Bayesian approach for object classification based on clusters of SIFT local features. Expert Systems with Applications, Available online 13 July 2011.
PDF
• L.E. Sucar, E. Morales, J. Hoey (Eds.) (2011). Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions, IGI Global Publishing Company. DOI: 10.4018/978-1-60960-165-2, ISBN13: 9781609601652, ISBN10: 1609601653, EISBN13: 9781609601676.
• L.E. Sucar, E.F. Morales, J. Hoey (2011). Introduction. In Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions, IGI Global, pages 1-8. PDF
• E.F. Morales, J.H. Zaragoza (2011). An Introduction to Reinforcement Learning. In Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions, IGI Global, pages 63-80. PDF
• E.F. Morales, J.H. Zaragoza (2011). Relational Representations and Traces for Efficient Reinforcement Learning. In Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions, IGI Global, pages 191-218. PDF
• A.C. Palacios-Garcia, A- Munoz-Melendez, E.F. Morales (2011). Learning Concepts with Multi-Robot Systems. In Information in Control, Autmation and Robotics, Lecture Notes in Electrical Engineering (LNEE 89), pp. 253-265, Springer. J.A. Cetto, J.L Ferrier and J. Filipe (Eds.) ISSN 1 876-1100 PDF
• A. León, E.F. Morales, L. Altamirano, J.R. Ruiz (2011). Teaching a Robot New Tasks through Imitation and Feedback. In Proc. Workshop: New Developments in Imitation Learning, as part of the Internacional Conference on Machine Learning (ICML-2011). PDF
• J. Zaragoza, L.E. Sucar, E.F. Morales (2011). A Two-Step Method to Learn Multidimensional Bayesian Network Classifiers Based on Mutual Information Measures. In Proc. of the 24th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2011), AAAI Press, pp. 644-649. PDF
• P. Hernandez-Leal, L.E. Sucar, J.A. Gonzalez, E.F. Morales, and P.H. Ibarguengoytia (2011). Learning Temporal Bayesian Networks for Power Plant Diagnosis. In Proc. of Modern Approaches in Applied Intelligence. Lecture Notes in Computer Science (LNAI 6703), Springer, K.G. Mehrotra, C.K. Mohan, J.C. Oh, P.K. Varshney and M. Ali (eds.), pp., 39--48. PDF
• P. Hernandez-Leal, A. Rios-Flores, F. Orihuela-Espina, S. Avila-Rios, G. Reyes-Teran, J.A. Gonzalez, E.F. Morales and L.E. Sucar (2011). Unveiling HIV mutational networks associated to pharmacological selective pressure: a temporal Bayesian approach. In Workshop in Probabilistic Problem Solving in Biomedicine, as part of the 13th Conference on Artificial Intelligence in Medicine (AIME-11). PDF
• J.H. Zaragoza, L.E. Sucar, E.F. Morales, C. Bielza, P. Larranaga (2011). Bayesian Chain Classifiers for Multidimensional Classification. In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI-2011), pp. 2192-2197 PDF
• A. León, E.F. Morales, L. Altamirano, J.R. Ruiz (2011). Teaching a robot to perform task through imitation and on-line feedback. In Proc. of the 16th. Iberoamerican Congress on Pattern Recognition} CIARP-2011 (accepted). PDF
• G. Cuaya, A. Munoz, E. Morales (2011). A Minority Class Feature Selection Method. In Proc. of the 16th. Iberoamerican Congress on Pattern Recognition CIARP-2011 (accepted) PDF

2010

• J. Hernández, E.F. Morales (2010). Relational Reinforcement Learning with Continuous Actions by Combining Behavioral Cloning and Locally Weighted Regression. Journal of Intelligent Systems and Applications, 2:69-79. PDF
• R. Luis-Velázquez, L.E. Sucar, E.F. Morales (2010). Inductive Transfer for Learning Bayesian Networks. Machine Learning 79 (1-2): 227-255. PDF
• H. Escalante, M. Grubinger, C. Hernández, J. González, A. López, M. Montes, E. Morales, L.E. Sucar, L. Villaseñnor, M. Grubinger (2010). The Segmented and Annotated IAPR TC-12 Benchmark, Computer Vision and Image Understanding 114(4): 419-428. PDF
• L. Chang, M. Duarte, L.E. Sucar and E.F. Morales (2010). Object Class Recognition using SIFT and Bayesian Networks In Proceedings of the Mexican International Conference on Artificial Intelligence (MICAI-2010) (to be published). PDF
• A.C. Tenorio-Gonzalez, E.F. Morales and L. Villaseñor-Pineda (2010). Dynamic Reward Shaping: Training a robot by voice. In Proceedings of the Ibero--American Conference on Artificial Intelligence (IBERAMIA-2010) (to be published). PDF
• A.C. Tenorio-Gonzalez, E.F. Morales and L. Villaseñor-Pineda (2010). Teaching a Robot to Perform Tasks with Voice Commands. In Proceedings of the Mexican International Conference on Artificial Intelligence (MICAI-2010) (to be published). PDF
• J.A. Mendez-Polanco, A. Muñoz-Melendez and E.F. Morales (2010). Detection of multiple people by a Mobile Robot in Dynamic Indoor Environments. In Proceedings of the Ibero--American Conference on Artificial Intelligence (IBERAMIA-2010) (to be published). PDF
• J. Cabanillas, E.F. Morales, and L.E. Sucar (2010). An Efficient Strategy for Fast Object Search Considering the Robot's Perceptual Limitations. In Proceedings of the Ibero--American Conference on Artificial Intelligence (IBERAMIA-2010) (to be published). PDF
• A. Meléndez, L.E. Sucar and E.F. Morales (2010). A Visual Grammar for Face Detection In Proceedings of the Ibero--American Conference on Artificial Intelligence (IBERAMIA-2010) (to be published). PDF
• G. Arellano, L.E. Sucar, E.F. Morales (2010). Automatic Image Annotation using Multiple Grid Segmentation. In Proceedings of the Mexican International Conference on Artificial Intelligence (MICAI-2010) (to be published). PDF
• E. Corona-Xelhuantzi, E.F. Morales, L.E. Sucar (2010). Solvinf Policy Conflicts in Concurrent Markov Decision Processes. In ICAPS-2010 Workshop on Planning and Scheduling Under Uncertainty. PDF
• A.C. Palacios-Garcia, A. Muñoz-Melendez, E.F. morales (2010). Collective Learning of Concepts Using a Robot Team. In Proc. Seventh International Conference on Informatics in Control, Automation and Robotics (ICINCO-2010), pp. 79-88. PDF

2009

• A. Reyes, L.E. Sucar, E.F. Morales (2009). AsistO: A qualitative MDP-based recommender system for power plant operation. \emph{Computación y Sistemas 13(1): 5-20. PDF
• E.F. Morales, L.E. Sucar (2009). Los Robots del Futuro y su Importancia para México. Komputer Sapiens 1(2): 7-12. PDF
• H.H. Avilés-Arriaga, L.E. Sucar, E.F. Morales, B.A. Vargas, E. Corona (2009). Markovito: A Flexible and General Service Robot. In Computational Intelligence in Autonomous Robotic Systems, Springer dentro de su serie: Studies in Computational Intelligence Series. D. Liu, L. Wang, K.C. Tan (eds.), pgs. 401--423. PDF
• J.A. Méndez-Polanco, A. Muñoz-Melendez, E.F. Morales (2009). People detection by a mobile robot using stereo vision in dynamic indoor environments. In Proc. of the International Conference on Artificial Intelligence (MICAI-09), pgs. 349-359. Lecture Notes in Artificial Intelligence (LNAI-5845), Springer-Verlag. A. Hernández, R. Monroy, C.A. Reyes (Eds.). PDF
• J. Hernández Zaragoza, E.F. Morales (2009). A two-stage relational reinforcement learning with continuous actions for real service robots. In Proc. of the International Conference on Artificial Intelligence (MICAI-09), pgs. 337-348. Lecture Notes in Artificial Intelligence (LNAI-5845), Springer-Verlag. A. Hernández, R. Monroy, C.A. Reyes (Eds.). Best Paper Award - Third Place PDF
• B. Vargas-Govea, E.F. Morales (2009). Learning relational grammars from sequences of actions. In Proc. of the Conferencia Iberaamericana en Reconocimiento de Patrones (CIARP-09). Lecture Notes in Artificial Intelligence (LNAI-5856), E. Nayro-Corrochano and J.O. Eklundh (Eds.) Springer-Verlag, pgs. 892-900. PDF
• M. Mejia-Lavalle, G. Arroyo-Figueroa, E.F. Morales (2009). Innovative Applications of Diagnosis, Forecasting, Pattern Recognition and Knowledge Discovery in Power Systems In Proc. IEEE Power and Energy Society General Meeting. PDF
• B. Vargas, E.F. Morales (2009). Learning Navigation Teleo-Reactive Programs using Behavioural Cloning. In Proc. IEEE International Conference on Mechatronics (ICM-2009). PDF
• E. Corona-Xelhuantzi, E.F. Morales, L.E. Sucar (2009). Executing Concurrent Actions with Multiple Markov Decision Processes. IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-2009), pp. 82-89. Derong Liu (editor). PDF
• H.J. Escalante, J.A. Gonzalez, C.A. Hernández, A. López, M. Montes, E. Morales, L.E. Sucar, L. Villaseñor-Pineda (2009). Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval. Lecture Notes in Computer Science 5706, Springer In Evaluating Systems for Multilingual and Multimodal Information Access. Pgs.: 669-676 PDF

2008

• Co-Editor with A. Gelbukh of: MICAI 2008: Advances in Artificial Intelligence, Springer: Lecture Notes in Artificial Intelligence Series, Volume 5317. ISBN: 978-3-540-88635-8 (2008).
• Co-Editor with A. Gelbukh of: Proceedings of the Special Session of the Seventh Mexican International Conference on Artificial Intelligence, IEEE Computer Society Press. ISBN: 978-0-7695-3441-1 (2008).
• C.E. Mariano, E.F. Morales (2008). Dynamic Behavior of Contaminants in the Water Distribution Network of Cuernavaca Mexico, a Real Application of Multiobjective Distributed Reinforcement Learning. Computación y Sistemas. PDF
• H.H. Avilés-Arriaga, L.E. Sucar, E.F. Morales, B.A. Vargas, E. Corona (2008). Markovito: A Flexible and General Service Robot. Computational Intelligence in Autonomous Robotic Systems
, Springer Verlag Series: Studies in Computational Intelligence Series. D. Liu, L. Wang, K.C. Tan (eds.). (to be published) PDF
• B. Vargas-Govea, E.F. Morales (2008). Solving Navigation Tasks with Learned Teleo-Reactive Programs. IROS-2008 (poster) PDF
• C. Cruz, L.E. Sucar, E.F. Morales (2008). Real-Time Face Recognition for Human-Robot Interaction. Proc. 8th. IEEE Intl. Conference on Automatic Face and Gesture Recognition (FC-2008). PDF
• Roger Luis, L. Enrique Sucar, Eduardo F. Morales (2008). Transfer Learning for Bayesian Networks. Iberoamercian Congress on Artificial Intelligence (IBERAMIA) PDF
• H.J. Escalante, J.A. González, C.A. Hernández, A. López, M. Montes, E. Morales, L.E. Sucar, and Luis Villaseñor (2008). Tia-inaoe's participation at ImageClef 2008. In Working Notes of the CLEF Workshop, Aarhus, Denmark. CLEF. PDF
• H.J Escalante, C. Hernández, A. López, H. Marín, M. Montes, E. Morales, E. Sucar, L. Villaseñor (2008). Towards Annotation-Based Query and Document Expansion for Image Retrieval. In Advances in Multilingual and Multimodal Information Retrieval, Lecture Notes in Computer Science (LNCS), Vol. 5152. Springer Berlin / Heidelberg, pgs. 546-553. C. Peters, V. Jijkoun, Th. Mandl, H. Miller, D.W. Oard, A. Peas, and D. Dantos (editors). PDF

2007

• C.E. Mariano-Romero, V.H. Alcocer-Yamanaka, E.F. Morales (2007). Multi-objective Optimization of Water-using Systems. European Journal of Operational Research (EJOR) 181(3):1691-1707. ISSN: 0377-2217. PDF
• S.B. González-Brambila, Eduardo F. Morales (2007). Automatic Generation of Explanations: AGE. Engineering Applications of Artificial Intelligence 20(3): 307-323. ISSN: 0952-1976. PDF
• M. Mejia-Lavalle, E.F. Morales and G. Arroyo (2007). Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-Class. Proc. of the 6th. Mexican International Conference on Artificial Intelligence (MICAI-07), pp. 452-461, A. Gelbukh, A. Kuri (eds.). Lecture Notes in Artificial Intelligence (LNAI): 4827. Springer-Verlag. PDF
• O. Gómez, J. González and E.F. Morales (2007). Weighted Instance Based Learning using Representative Intervals. In Proc. of the 6th. Mexican International Conference on Artificial Intelligence (MICAI-07), pp. 420-430, A. Gelbukh, A. Kuri (eds.). Lecture Notes in Artificial Intelligence (LNAI): 4827. Springer-Verlag. PDF
• C. Mariano and E.F. Morales (2007). Incremental Refinement of Solutions for Dynamic Multi Objective Optimization Problems. IEEE CS Press (MICAI) PDF
• O. Gómez, E.F. Morales and J. González (2007). Image Segmentation using automatic Seeded Region Growing and Instance-based Learning. Lecture Notes in Computer Science (LNCS) - 4756: 192-201. Springer Berlin / Heidelberg. CIARP 2007: Progress in Pattern Recognition, Image Analysis and Applications. L. Rueda, D. Mery, J. Kitter (eds.). PDF
• H.M. Marin Castro, L.E. Sucar and E.F. Morales (2007). Automatic image annotation using a semi-supervised assemble of classifiers. Lecture Notes in Computer Science (LNCS) - 4756: 487-495. Springer Berlin / Heidelberg. CIARP 2007: Progress in Pattern Recognition, Image Analysis and Applications. L. Rueda, D. Mery, J. Kitter (eds.). PDF
• C. Mariano-Romero, V. Alcocer-Yamanaka, E.F. Morales (2007). Incremental Refinement of Solutions for Multiple Objective Optimization Problems. In Proc. of the Genetic and Evolutionary Computation Conference (GECCO-07). ACM 978-1-59593-697-4/07/0007. PDF
• L.E. Sucar, E. Morales (2007). A General Framework for Developing Service Robots. In Proc. of the 8th. IFAC Symposium on Cost Automation Systems PDF

2006

• L. Romero, E.F. Morales, L.E. Sucar (2006). An Exploration and Navigation Approach for Indoor Mobile Robots Considering Sensors' Perceptual Limitations. International Journal of Advanced Robotics Systems 3(3):249-258. PDF
• C.E. Mariano-Romero, V.H. Alcocer-Yamanaka, E.F. Morales (2006). Multi-objective Optimization of Water-using Systems. European Journal of Operational Research (EJOR) (accepted). PDF
• S.B. González-Brambila, Eduardo F. Morales (2006). Automatic Generation of Explanations: AGE. Engineering Applications of Artificial Intelligence (accepted). PDF
• M. Larre, J. Torres, E. Morales, J. Frausto, S. Torres (2006). MONIL Language, an alternative for data integration. Computación y Sistemas 9(3): 203-226. PDF
• E. Morales (2006). Programación Lógica Inductiva (ILP). En Aprendizaje Automático: conceptos básicos y avanzados. Aspectos prácticos utilizando el software WEKA. Basilio Sierra Araujo (editor). pg. 201-221. ISBN 13: 9788483223185. Pearson Educación. PDF
• A. Reyes, L.E. Sucar, E.F. Morales, and P.H. Ibarguengoytia (2006). Solving Hybrid Markov Decision Processes. Lecture Notes in Computer Science (LNCS) - 4293: 227-236. Springer Berlin / Heidelberg. MICAI 2006: Advances in Artificial Intelligence PDF
• M. Mejía-Lavalle, E.F. Morales, G. Rodríguez (2006). Fast Feature Selection Method for Continuous Attributes with Nominal Class. In Proc. of the Fifth International Conference on Artificial Intelligence (Special Session), pg. 142-150. IEEE Computer Society.
• A. Reyes, P. Ibarguengoytia, L.E. Sucar, E. Morales (2006). Abstraction and Refinement for Solving Continuous Markov Decision Processes. In Proc. of the The third European Workshop on Probabilistic Graphical Models (PGM-06), pgs. 263-270, 2006. PDF
• M. Mejia-Lavalle, E.F. Morales (2006). Feature Selection in an Electric Billing Database considering Attribute Inter-dependencies. In Proc. of the 6th Industrial Conference On Data Mining, P. Perner (Ed.): ICDM 2006, LNCS 4065, pp. 284-296. Springer-Verlag Berlin / Heidelberg 2006 PDF
• M. Mejia-Lavalle, E.F. Morales (2006). Feature Selection Considering Attribute Inter-dependencies. In International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics (SIAM Conference on Data Mining), pp. 50-58. PDF
• S. Hernández-Alamilla, E.F. Morales (2006). Global Localization of Mobile Robots for Indoor Environments Using Natural Landmarks. In IEEE International Conference on Robotics, Automation and Mechatronics (CIS-RAM 2006). IEEE Catalog No. 06EX1247C, ISBN: 1-4244-0025-2 PDF

2005

• C. Mariano, Alcoder, V., E. Morales. Diseño de sistemas hidráulicos bajo criterios de optimización de optimización de puntos de pliegue y múltiples criterios. In Revista de Ingeniería Hidráulica en México XX(3):31-42. PDF
• R. Morales-Manzanares, E.F. Morales, D. Wessel. Combining Audio and Gestures for a real-time improviser In Proc. of the International Computer Music Conference (ICMC-05), pp. 813-816. PDF
• C.E. Mariano-Romero, V. Alcocer-Yamanaka, E.F. Morales Multiobjective Water Pinch Analysis of the Cuernavaca, city Water Distribution Network. In Third International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005). Lecture Notes in Computer Science (LNCS) 3410, pp. 870-884. C. Coello, A. Hernández, E. Zitzler (eds.) PDF
• Z. Flores-Loredo, P. Ibarguengoytia, E.F. Morales. On line diagnosis of gas turbines using probabilistic and qualitative reasoning. In 13th International Conference on Intelligent Systems Application to Power Systems ISAP 2005 PDF

2004

• A. Estrada, E.F. Morales. NSC: A New Progressive Sampling Algorithm. In Proc.of the Workshop: Machine Learning for Scientific Data AnalysisIBERAMIA-2004, pp. 335-344. PDF
• E.F. Morales, C. Sammut. Learning to Fly by Combining Reinforcement Learning with Behavioural Cloning. In Proc. of the Twenty-First International Conference on Machine Learning (ICML-04),pp.598-605. PDF
• E. Morales. Relational State Abstractions for Reinforcement Learning. In Proc. of the Workshop on Relational Reinforcement Learning of the Twenty-First International Conference on Machine Learning (ICML-04), pp. 27-32. PDF
• F. Alarcón-Gálvez, J. González-Herrera, R. Guzmán-Sánchez, E. Morales-Manzanares, C. Montiel-Maldonado, D. Juárez-Romero. Designing Components for Dynamic Process Simulation. Revista de Ingenieria Quimica 3:161-175. PDF
• C. Mariano, E. Morales. Diseño de redes de riego a baja presión con una propuesta de optimización multiobjetico. Revista de Ingeniería Hidráulica en México: 3: 161-175.
• G. Gómez, E.F. Morales. How does the Hue contribute to construct better colour features? In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2004). Springer-Verlag: Lecture Notes in Artificial Intelligence (LNAI 2972), pp.\ 602-611. PDF
• M. Mejía-Lavalle, G. Rodríguez-Ortíz, G. Arroyo, E.F. Morales. Feature selection-ranking methods in a very large electric database. In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2004). Springer-Verlag: Lecture Notes in Artificial Intelligence (2972), pp. 292-301. PDF

2003

• S. González-Brambila, E. Morales (2003). Explaining how engineering devices work with AGE. In Proc. of the 17th. International Workshop on Qualitative Reasoning (QR-03), pp. 103-XX. Paulo Salles and Bert Bredeweg (editors). PDF
• S. González-Brambila, E. Morales (2003). Subsystem reduction for qualitative simulation. In Proc. of the 17th. International Workshop on Qualitative Reasoning (QR-03), pp. 95-XX. Paulo Salles and Bert Bredeweg (editors). PDF
• E. Morales (2003). Scaling up reinforcement learning with a relational representation. In Proc. of the Workshop on Adaptability in Multi-agent Systems (AORC-2003), pp. 15-26. PDF
• S. González-Brambila, E. Morales (2003). Automatic Generation of Explanation of Physical Systems. Arpakannus 1/2002: 5-13. Newsletter of the Finnish Artificial Intelligence Society (FAIS), Special Issue on AI and Multimodal Interfaces. Pekka Ala-Siuru and Oscar Mayora-Ibarra (editors).

2002

• L. Romero, E. Morales, L.E. Sucar (2002). Building Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors. Computación y Sistemas: 10-18.
• R. Morales-Manzanares, E. Morales, L.E. Sucar (2002). Modelling music with bayesian networks and logic programs. In Proc. of the International Symposium of Musical Acoustics (ISMA-2002).
• L. Romero, E. Morales, E. Sucar (2002). A robust approach to solve the global localization problem for indoor mobile robots considering sensor's perceptual limitations. In Proceedings of the International Symposium on Robotics and Automation, ISRA2002, pp. 218.223.
• G. Gómez, E. Morales (2002). Automatic feature construction and a simple rule induction algorithm for skin detection. In Proc. of the ICML workshop on Machine Learning in Computer Vision, A. Sowmya, T. Zrimec (eds.), pp. 31-38. PDF
• E. Morales, S, González (2002). Generation of explanations of chemical proceses. In Proc. of the Second IASTED Artificial Intelligence and Applications (AIA2002), pp. 110-115.
• M. Larre, J. Torres, E. Morales, S. Torres (2002). Data Integration using the MONIL Language. In Proc. of the 4th. International Conference on Enterprise Information Systems (ICEIS-2002). Publisher ICEIS Press
• M. Larre, J. Torres, E. Morales, S. Torres (2002). MONIL The Metadata and Object Integration Language. In Proc. of the 2nd. International Conference on Information Science and Applications pags. 114, Alexander Zemliak and Nikos E. Mastorakis (editores).
• E. Morales, D. Heredia, A. Rodríguez (2002). Mining Road Accidents. In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2002). Springer-Verlag: Lecture Notes in Artificial Intelligence, vol. 2313, pp. 516-525.
• L. Romero, E. Morales, E. Sucar (2002). An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors In Proc. of the Mexican International Conference on Artificial Intelligence (MICAI-2002). Springer-Verlag: Lecture Notes in Artificial Intelligence, vol. 2313, pp. 51-60.
• S. González, E. Morales (2002). Generation of Explanations of Chemical Processes: a demo. In Proc. del XI Congreso Internacional de Computación, Avances en Ciencias de la Computación e Ingeniería de Cómputo (CIC2000), Vol. II, pp. 333-342.
• B. Vargas, E. Morales, R. Morales (2002). Uso de aprendizaje computacional para extraer modelos del estudiante en el problema del péndulo invertido. In Proc. del XI Congreso Internacional de Computación, Avances en Ciencias de la Computación e Ingeniería de Cómputo (CIC2000), Vol. I, pp. 307-318.

2001

• R. Morales-Manzanares, E. Morales, R. Dannenberg, J. Berger (2001). SICIB: An Interactive Music Composition System Using Body Movements. Computer Music Journal 25(2):25-37.
• C. Mariano, E. Morales (2001). DQL: a New Updating Strategy for Reinforcement Learning based on Q-learning. In Lecture Notes in Artificial Intelligence 2167, 12th. European Conference on Machine Learning (ECML-01). Luc de Raedt, Peter Flach (eds.), Springer Verlag, pp. 324-335. PDF
• J. Frausto-Solis, R. Rivera-López, F. Ramos-Quintana, E.F. Morales (2001). Fast Hard Linear problem resolution using simulated annealing and Dantzig's rule. In Proceedings of the IASTED International Conference, pp., 272-276.
• L. Romero, E. Morales, L.E. Sucar (2001). A Hybrid Approach to Solve the Global Localization Problem for Indoor Mobile Robots Considering Sensor's Perceptual Limitations. In Proc. of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), pg., 1411-1416.
• L. Romero, E. Morales, L.E. Sucar (2001). An Exploration and Navigation Approach For Indoor Mobile Robots Considering Sensor's Perceptual Limitations. In 2001 IEEE International Conference on Robotics and Automation (ICRA 2001). pp. 3092-3097. PDF
• E. Morales, G. Gómez, L.E. Sucar (2001). ADEX: Ambiente de Descubrimiento EXtendible. In Proc. del Tercer Taller Internacional de Minería de Datos.
• C. Mariano, E. Morales (2001). Multiobjective Distributed Q-Learning. In Proc. del Encuentro Internacional de Ciencias de la Computación (ENC-01), pp. 231-240.
• S. González-Brambila, E. Morales (2001). Generation of Explanations of Dynamic Systems. In Proc. del Encuentro Internacional de Ciencias de la Computación (ENC-01), pp. 63-72.
• C. Zozaya-Gorostiza, C. Galindo. E. Morales (2001). Valuation of American Put Options by Q-learning. In Proc. del Encuentro Internacional de Ciencias de la Computación (ENC-01), pp. 241-250.
• M. Larre, J. Torres, E. Morales (2001). Data Integration with MONIL, Metadata and Correspondence Suggestions. In Proc. del Encuentro Internacional de Ciencias de la Computación (ENC-01), pp. 623-632.

2000

• A. Rodríguez, E. Morales (2000). Descubrir Conocimiento en bases de datos: minería de datos y aplicaciones. Boletín IIE (24) 2: 75-82.
• C. Mariano, E. Morales (2000). A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems. In Lecture Notes in Artificial Intelligence 1952, Advcances in Artificial Intelligence, IBERAMIA-SBIA 2000, M.C. Monard, J.S. Sichman (eds.), Springer Verlag pp. 290-299.
• L. Romero, E. Morales, L.E. Sucar (2000). A Robust Exploration and Navigation Approach for Indoor Mobile Robots Merging Local and Global Strategies. In Lecture Notes in Artificial Intelligence 1952, Advcances in Artificial Intelligence, IBERAMIA-SBIA 2000, M.C. Monard, J.S. Sichman (eds.), Springer Verlag pp. 389-398.
• C. Mariano, E. Morales (2000). A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning. In Lecture Notes in Artificial Intelligence 1793, MICAI-2000: Advances in Artificial Intelligence, O. Cairo, L.E. Sucar, F.J. Cantú (eds.), Springer Verlag, pp. 212-223.
• L. Romero, E. Morales, E. Sucar (2000). Learning Probabilistic Grid-Based Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors. In Lecture Notes in Artificial Intelligence 1793, MICAI-2000: Advances in Artificial Intelligence, O. Cairo, L.E. Sucar, F.J. Cantú (eds.), Springer Verlag, pp. 158-169.
• P.R. de Buen, E. Morales, S. Vadera (2000). RuLess: A Method for the Acquisition and Simplification of Rules. In Lecture Notes in Artificial Intelligence 1793, MICAI-2000: Advances in Artificial Intelligence, O. Cairo, L.E. Sucar, F.J. Cantú (eds.), Springer Verlag, pp. 272-283.
• P. Ibarguengoytia, L.E. Sucar, E. Morales (2000). Probabilistic Model-Based Diagnosis. In Lecture Notes in Artificial Intelligence 1793, MICAI-2000: Advances in Artificial Intelligence, O. Cairo, L.E. Sucar, F.J. Cantú (eds.), Springer Verlag, pp. 687-698.
• C. Mariano, E. Morales (2000). MDQL: A Reinforcement Learning Approach for the Solution of Multiple Objective Optimization Problems. In Proc. of Multiobjective Problem Solving from Nature Wokshop (MPSN).
• H. Domínguez, E. Morales, L.E. Sucar (2000). A Bi-directional approach for learning Bayesian networks and its application to ozone prediction. In European Conference on Artificial Intelligence Workshop: Bayesian and Causal Networks: from data inference to data mining.
• C. Mariano, E. Morales (2000). Distributed Reinforcement Learning for multiple objective optimization problems. In European Conference on Artificial Intelligence Workshop: Empirical methods in artificial intelligence, pp. 5-17.
• R. Morales, E. Morales, L.E. Sucar (2000). Integrating Bayesian Networks with Logic Programs for Music. In Proc. International Computer Music Conference (ICMC-2000), pp. 320-323.
• C. Mariano, E. Morales (2000). Distributed Reinforcement Learning for Multiple Objective Optimization Problems. In Proc. of Congress on Evolutionary Computation (CEC-2000), pp. 188-195.
• P. Ibarguengoytia, L.E. Sucar, E. Morales (2000). A probabilistic model-based approach for fault diagnosis. In Proc. of Model-Based Diagnosis (DX-00), pp. 79-86.
• M. Larre, S. Torres, J. Torres, E. Morales (2000). Un Algoritmo para Integración de Datos basado en el Descubrimiento de Relaciones. In Proc. del VII Congreso Internacional de Investigacion en Ciencias Computacionales (CIIC-2000), pp. 263-274.

1999

• C.E. Mariano, E. Morales. MOAQ: An Ant-Q Algorithm for Multiple Objective Optimization Problems. In Genetic and Evolutionary Computation Conference (GECCO-99), pp. 894-901, 1999. PDF
• C. Mariano, E. Morales (1999). Aprendizaje por refuerzo en optimización multiobjetivo. Anuario 1999 del Instituto Mexicano de Tecnología del Agua (IMTA): 7-16.
• P. de Buen, S. Vadera, E. Morales. A Collaborative Approach to User Modeling within a Multi-functional Architecture. In Proc. of the Seventh International Conference on User Modeling (UM99), pp. 291-293, 1999. PDF
• L.E. Sucar, E. Morales. Integrating bayesian networks with logic programs. In IJCAI'99 Workshop on Reasoning with Uncertainty in Robot Navigation, pp. 73, 1999.
• C. Mariano, E. Morales. MOAQ a Distributed Reinforcement Learning Algorithm for the Solution of Multiple Objetives Optimization Problems. Segundo Encuentro Nacional de Computación (ENC-99), 1999. PDF
• R. Ferreira, E. Morales. Aprendizaje de reglas de control en robots móviles. Segundo Encuentro Nacional de Computación (ENC-99), 1999. PDF
• L. Romero, E. Morales. Uso de una red neuronal para la fusión de lecturas de sonares en robots móviles. Segundo Encuentro Nacional de Computación (ENC-99), 1999. PDF
• R. Ferreira, E. Morales (1999). Aprendizaje de reglas de control en robots móviles. In Proc. del Segundo Encuentro Nacional de Computación (ENC-99).
• L. Romero, E. Morales (1999). Uso de una red neuronal para la fusión de lecturas de sonares en robots móviles. In Proc. del Segundo Encuentro Nacional de Computación (ENC-99).

1998

• P.R. de Buen, S. Vadera, E. Morales. A Multi-functional Knowledge Based System to Learn, Apply and Consult Procedures. Expert Systems with Applications Vol. 15: 265-275, 1998.
• S. González Brambila, E. Morales. La Inteligencia Artificial y la Educación. RV (cómputo): 54-60, 1998.
• E. Morales, L.E. Sucar. A Multifunctional Knowledge-Based System for Engineering. Expert Systems with Applications, Vol. 14 (1/2): 17-24, 1998. postscript
• S. González-Brambila, E. Morales. Automatic Generation of Functional Explanations. In Proceedings of the Model Based Reasoning for Intelligent Education Environments workshop, ECAI-98. 1998. postscript
• M. de J. Vergara, E. Morales. Automatic generation of problems, fault diagnosis and problem solving. Fourth World Congress on Expert Systems, pp. 474-479, 1998. postscript
• L.E. Sucar, E. Morales. MF-KBS A Multifunctional Knowledge-based System for Engineering Domains, NSF Design and Manufacturing Grantees Conference, pp. 791-792, 1998.

1997

• R. Morales-Manzanares, E. Morales. SICIB: Sistema Interactivo de Composición e Improvisación Musical para Bailarines. Aportaciones Matemáticas - Serie Comunicaciones, Vol. 20: 55-67, 1997. postscript
• E. Sucar, J. Perez-Brito, C. Ruiz-Suarez, E. Morales. Learning Structure from Data and its Application to Ozone Prediction. Applied Intelligence 7 (4): 327-338, 1997.
• E. Morales. PAL: A pattern-based first-order inductive system. Machine Learning 26: 227-252, 1997 postscript
• E. Morales. On learning how to play. Advances in Computer Chess 8, H.J. van den Herik y J.W.H.M. Uiterwijk (eds), Universiteit Maastricht, The Netherlands, pp. 235-250, 1997. postscript
• R. Morales-Manzanares, E. Morales. Music Composition, Improvisation, and Performance Through Body Movements, AIMI International Workshop; KANSEI: The technology of emotions, pp. 92-98, 1997. postscript
• P. de Buen, S. Vadera, E. Morales. Machine Learning in LacePro Multi-Functional Framework, Sixth International Conference on User Modeling (UM97) Workshop on Machine Learning on User Modeling, 1997.
• P. de Buen, S. Vadera, E. Morales. User Modelling in LacePro Multi-Functional Framework. Sixth International Conference on User Modeling (UM97) Workshop on Embedding User Models in Intelligent Applications, 1997.
• E. Morales, M. Rodriguez. Learning and Merging Logic Programs, Taller de Inteligencia Artificial, pp. 266-274, 1997.
• E. Morales. Aprendiendo a jugar ajedrez., Simposium Internacional en Computación, CIC, pp. 87-95, 1997.
• E. Morales, M. Rodríguez (1997). Learning and Merging Logic Programs. In Proc. del Taller de Inteligencia Artificial, pp. 266-274.
• E. Morales (1997). Aprendiendo a jugar ajedrez. In Proc. del Simposium Internacional en Computación, CIC-IPN, pp. 87-95.

1996

• E. Morales. Learning Playing Strategies in Chess. Computational Intelligence , Vol. 12 (1): 65-87, 1996 postscript
• P. de Buen, E. Morales, S. Vadera. A Knowledge-based Framework for Learning, Applying and Consulting Engineering Procedures. Lecture Notes in Computer Science 1086: Intelligent Tutoring Systems C. Frasson, G. Gauthier y A. Lesgold (editores), Springer, pp. 392-400, 1996.
• V. Hern&aacutendez, E. Morales. SIDEC: an attribute-based discovery system with background knowledge. Congreso Iberoamericano de Inteligencia Artificial, pp. 300-309, 1996 postscript
• P. de Buen, E. Morales. Representacion multifuncional de procedimientos de ingenieria civil. Congreso Iberoamericano de Inteligencia Artificial, pp. 195-204, 1996.
• V. Hernández, G. Rodríguez, E. Morales. Descubrimiento de Información en una Base de Datos de Generación Eléctrica. Novena Reunión de Verano de Potencia (RVP-96), IEEE Sección México, pp. 31-37, 1996.
• V. Hernández, G. Rodríguez, E. Morales (1996). Descubrimiento de Información en una Base de Datos de Generación Eléctrica. In Proc. de la Novena Reunión de Verano de Potencia (RVP-96), IEEE Sección México, pp. 31-37.

1995

• E. Morales, R. Morales. Learning Musical Rules. International Joint Conference on Artificial Intelligence (IJCAI-95), Workshop: Artificial Intelligence and Music, Montreal, Canada, pp. 81-85, 1995 postscript
• I. Parra, E. Morales. Diagnóstico de Sistemas Físicos a través de un Mecanismo de Propagación de Restricciones. XII Reunión Nacional de Inteligencia Artificial RNIA-95, Ed. Noriega, pp. 114-120, 1995.
• I. Parra, E. Morales (1995). Diagnóstico de Sistemas Físicos a través de un Mecanismo de Propagación de Restricciones. In Proc. de la XII Reunión Nacional de Inteligencia Artificial (RNIA--95), pp. 114-120, Ed. Noriega.

1994

• E. Morales. Learning Patterns for Playing Strategies. ICCA Journal, Vol. 17 (1): 15--26, 1994 postscript
• R. Morales y E. Morales. Análisis de forma y estilo musicales por inducción utilizando lógica de primer orden. Aportaciones Matemáticas - Serie Comunicaciones, Vol. 14: 437-449, 1994
• A. Rios y E. Morales. Sistemas Clasificatorios Genéticos con poblaciones iniciales inducidas. Congreso Iberoamericano de Inteligencia Artificial, Caracas, Venezuela. pp. 587-595, McGraw-Hill, 1994.
• E. Morales y R. Morales-Manzanares. Learning Counterpoint rules for analysis and generation. First Brasilian Symposium on Computer Music, Brasil, 1994.
• A. Rios y E. Morales. Mejoramiento de Sistemas Clasificatorios Genéticos induciendo poblaciones iniciales. XI Reunión Nacional de Inteligencia Artificial, Guadalajara, Jalisco. México. pp. 85-95, 1994.
• A. Rios, E. Morales (1994). Mejoramiento de Sistemas Clasificatorios Genéticos induciendo poblaciones iniciales. In Proc. de la XI Reunión Nacional de Inteligencia Artificial, pp. 85-95, Guadalajara, Jalisco, México.

1993

• R. Morales y E. Morales. Análisis de forma y estilo musical por inducción utilizando lógica de primer orden. XXVI Congreso Nacional de la Sociedad Matemática Mexicana, Morelia, Mich., Octubre, 1993.
• E. Morales, PAL: un sistema de aprendizaje en lógica de primer orden, X Reunión Nacional de Inteligencia Artificial, México, D.F., Sept., 1993.
• R. Morales, E. Morales (1993). Análisis de forma y estilo musical por inducción utilizando lógica de primer orden. In Proc. del XXVI Congreso Nacional de la Sociedad Matemática Mexicana, Morelia, Mich.
• E. Morales (1993). PAL: un sistema de aprendizaje en lógica de primer orden, In Proc. de la X Reunión Nacional de Inteligencia Artificial, México, D.F.

1992

• E. Morales. First-Order Induction of Patterns in Chess. Ph.D. Thesis The Turing Institute - University of Strathclyde (thesis)
• E. Morales. Learning Chess patterns, en S. Muggleton (editor), Inductive Logic Programming, Academic Press, pp 517-537, 1992.
• E. Morales, Learning patterns for playing KRK, European Conference of Artificial Intelligence (ECAI), Workshop: Logical Approaches to Machine Learning, Viena, 1992.
• E. Morales, Testing the applicability of ILP systems, Second International Workshop on Inductive Logic Programming (ILP-92), ICOT Technical Memorandum TM-1182, S. Muggleton y K. Furukawa (editores), Tokio, Japon, 1992.
• E. Morales (1992). Learning patterns for playing in Chess, Turing Institute Research Memoranda TIRM-92-052, The Turing Institute, Glasgow, Escocia.

1991

• E. Morales. Learning features by experimentation in Chess, en Y. Kodratoff (editor), Lecture Notes in Artificial Intelligence 482: Machine Learning - EWSL-91, Springer-Verlag, pp. 494-551, 1991.
• E. Morales (1991). Learning Chess patterns. In Proc. of the International Worshop on Inductive Logic Programming (ILP-91), pp. 291-307, Viana de Costelo, Portugal.

1990

• E. Morales (1990). Some experiments with Macro-operators in the 8-puzzle, Turing Institute Research Memoranda, TIRM-90-042, The Turing Institute, Glasgow, Escocia.
• E. Morales y H. García, A modular approach to multiple fault diagnosis, en M. Mavrouvonioutis (editor), Artificial Intelligence in Process Engineering, Academic Press, pp. 161-187, 1990.
• E. Morales (1990). The Machine Learning Toolkit Database, Proyecto ESPRIT-2154, TI-MLT-5.5 The Turing Institute, Glasgow, Escocia.