Eduardo F. Morales

According to our database1, Eduardo F. Morales authored at least 117 papers between 1991 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2021
Unobtrusive Stress Assessment Using Smartphones.
IEEE Trans. Mob. Comput., 2021

Second-order motion descriptors for efficient action recognition.
Pattern Anal. Appl., 2021

Mining Experts from Source Code Analysis: An Empirical Evaluation.
J. Softw. Eng. Res. Dev., 2021

Knowledge-Based Hierarchical POMDPs for Task Planning.
J. Intell. Robotic Syst., 2021

2020
Causal Based Q-Learning.
Res. Comput. Sci., 2020

Safe reinforcement learning using risk mapping by similarity.
Adapt. Behav., 2020

2019
Image Annotation as Text-Image Matching: Challenge Design and Results.
Computación y Sistemas, 2019

Towards AutoML in the presence of Drift: first results.
CoRR, 2019

Enhancing object, action, and effect recognition using probabilistic affordances.
Adapt. Behav., 2019

Meta-learning of Textual Representations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Fast and Robust Deep Learning Approach for Hand Object Grasping Confirmation.
Proceedings of the Advances in Soft Computing, 2019

A Novel Scheme for Training Two-Stream CNNs for Action Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
Automatic discovery of concepts and actions.
Expert Syst. Appl., 2018

A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry.
Eng. Appl. Artif. Intell., 2018

Bayesian Chain Classifier with Feature Selection for Multi-label Classification.
Proceedings of the Advances in Soft Computing, 2018

Automated Detection of Hummingbirds in Images: A Deep Learning Approach.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Recognition of Apparent Personality Traits from Text and Handwritten Images.
Proceedings of the Pattern Recognition and Information Forensics, 2018

A Distributed Probabilistic Model for Fault Diagnosis.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018

Predicting Academic-Challenge Success.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Análisis de readmisión hospitalaria de pacientes diabéticos mediante aprendizaje computacional.
Res. Comput. Sci., 2017

Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network.
Proceedings of the Advances in Soft Computing, 2017

2016
Automatic discovery of relational concepts by an incremental graph-based representation.
Robotics Auton. Syst., 2016

A naïve Bayes baseline for early gesture recognition.
Pattern Recognit. Lett., 2016

Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients.
Pervasive Mob. Comput., 2016

Stress modelling and prediction in presence of scarce data.
J. Biomed. Informatics, 2016

Hierarchical multilabel classification based on path evaluation.
Int. J. Approx. Reason., 2016

Transfer learning by prototype generation in continuous spaces.
Adapt. Behav., 2016

Searching Objects in Known Environments: Empowering Simple Heuristic Strategies.
Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

2015
Term-weighting learning via genetic programming for text classification.
Knowl. Based Syst., 2015

Transfer learning for temporal nodes Bayesian networks.
Appl. Intell., 2015

Stress Modelling Using Transfer Learning in Presence of Scarce Data.
Proceedings of the Ambient Intelligence for Health - First International Conference, 2015

2014
Multi-label classification with Bayesian network-based chain classifiers.
Pattern Recognit. Lett., 2014

Transfer Learning for continuous State and Action Spaces.
Int. J. Pattern Recognit. Artif. Intell., 2014

Multidimensional hierarchical classification.
Expert Syst. Appl., 2014

Term-Weighting Learning via Genetic Programming for Text Classification.
CoRR, 2014

Multi-label Classification for Tree and Directed Acyclic Graphs Hierarchies.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Wind Power Forecasting Using Dynamic Bayesian Models.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Towards the automated generation of term-weighting schemes for text categorization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Simultaneous generation of prototypes and features through genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Chained Path Evaluation for Hierarchical Multi-Label Classification.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013
A dynamic Bayesian network for estimating the risk of falls from real gait data.
Medical Biol. Eng. Comput., 2013

Learning temporal nodes Bayesian networks.
Int. J. Approx. Reason., 2013

Synthetic oversampling of Instances using Clustering.
Int. J. Artif. Intell. Tools, 2013

Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks.
Artif. Intell. Medicine, 2013

A Hybrid Global-Local Approach for Hierarchical Classification.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

A Transfer Learning Approach for Learning Temporal Nodes Bayesian Networks.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

A One-Shot DTW-Based Method for Early Gesture Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

A Non-temporal Approach for Gesture Recognition Using Microsoft Kinect.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
A Bayesian approach for object classification based on clusters of SIFT local features.
Expert Syst. Appl., 2012

Unsupervised Learning of Visual Object Recognition Models.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2011
Bayesian Chain Classifiers for Multidimensional Classification.
Proceedings of the IJCAI 2011, 2011

Learning Temporal Bayesian Networks for Power Plant Diagnosis.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

A Two-Step Method to Learn Multidimensional Bayesian Network Classifiers Based on Mutual Information Measures.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Teaching a Robot to Perform Task through Imitation and On-line Feedback.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

A Minority Class Feature Selection Method.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Inductive transfer for learning Bayesian networks.
Mach. Learn., 2010

Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression.
J. Intell. Learn. Syst. Appl., 2010

The segmented and annotated IAPR TC-12 benchmark.
Comput. Vis. Image Underst., 2010

Teaching a Robot to Perform Tasks with Voice Commands.
Proceedings of the Advances in Artificial Intelligence, 2010

Object Class Recognition Using SIFT and Bayesian Networks.
Proceedings of the Advances in Soft Computing, 2010

Automatic Image Annotation Using Multiple Grid Segmentation.
Proceedings of the Advances in Artificial Intelligence, 2010

Collective Learning of Concepts using a Robot Team.
Proceedings of the ICINCO 2010, 2010

Learning Concepts with Multi-robot Systems.
Proceedings of the Informatics in Control, Automation and Robotics, 2010

Dynamic Reward Shaping: Training a Robot by Voice.
Proceedings of the Advances in Artificial Intelligence, 2010

Detection of Multiple People by a Mobile Robot in Dynamic Indoor Environments.
Proceedings of the Advances in Artificial Intelligence, 2010

A Visual Grammar for Face Detection.
Proceedings of the Advances in Artificial Intelligence, 2010

An Efficient Strategy for Fast Object Search Considering the Robot's Perceptual Limitations.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation.
Computación y Sistemas, 2009

A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

People Detection by a Mobile Robot Using Stereo Vision in Dynamic Indoor Environments.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

TIA-INAOE's Participation in ImageCLEF 2009.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Learning Relational Grammars from Sequences of Actions.
Proceedings of the Progress in Pattern Recognition, 2009

Executing concurrent actions with multiple Markov decision processes.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Dynamic Behavior of Contaminants in the Water Distribution Network of Cuernavaca Mexico, a Real Application of Multiobjective Distributed Reinforcement Learning.
Computación y Sistemas, 2008

Solving navigation tasks with learned Teleo-Reactive Programs.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Transfer Learning for Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence, 2008

Real-time face recognition for human-robot interaction.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

TIA-INAOE Participation at ImageCLEF 2008.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

2007
Multi-objective optimization of water-using systems.
Eur. J. Oper. Res., 2007

Automatic generation of explanations: AGE.
Eng. Appl. Artif. Intell., 2007

Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-class.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Weighted Instance-Based Learning Using Representative Intervals.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Incremental refinement of solutions for multiple objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Towards Annotation-Based Query and Document Expansion for Image Retrieval.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

TIA-INAOE's Participation at ImageCLEF 2007.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers.
Proceedings of the Progress in Pattern Recognition, 2007

Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning.
Proceedings of the Progress in Pattern Recognition, 2007

2006
El Lenguaje MONIL, una Alternativa para la Integración de Datos.
Computación y Sistemas, 2006

Abstraction and Refinement for Solving Continuous Markov Decision Processes.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Solving Hybrid Markov Decision Processes.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies.
Proceedings of the Advances in Data Mining, 2006

2005
Combining audio and gestures for a Real-Time Improviser.
Proceedings of the 2005 International Computer Music Conference, 2005

Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

2004
Feature Selection-Ranking Methods in a Very Large Electric Database.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

How Does the Hue Contribute to Construct Better Colour Features?
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Learning to fly by combining reinforcement learning with behavioural cloning.
Proceedings of the Machine Learning, 2004

2003
Solving the Global Localization Problem for Indoor Mobile Robots.
Proceedings of the Progress in Pattern Recognition, 2003

2002
An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

Mining Road Accidents.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

Data Integration Using the MONIL Language.
Proceedings of the ICEIS 2002, 2002

2001
SICIB: An Interactive Music Composition System Using Body Movements.
Comput. Music. J., 2001

An Hybrid Approach to Solve the Global Localization Problem For Indoor Mobile Robots Considering Sensorms Perceptual Limitations.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

An Exploration and Navigation Approach For Indoor Mobile Robots Considering Sensor's Perceptual Limitations.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
A Robust Exploration and Navigation Approach for Indoor Mobile Robots Merging Local and Global Strategies.
Proceedings of the Advances in Artificial Intelligence, 2000

A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems.
Proceedings of the Advances in Artificial Intelligence, 2000

Learning Probabilistic Grid-Based Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

Probabilistic Model-Based Diagnosis.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

RuLess: A Method for the Acquisition and Simplification of Rules.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

Integrating Bayesian Networks with Logic Programs for Music.
Proceedings of the 2000 International Computer Music Conference, 2000

1997
PAL: A Pattern-Based First-Order Inductive System.
Mach. Learn., 1997

Learning Structure from Data and Its Application to Ozone Prediction.
Appl. Intell., 1997

1996
A Knowledge-Based Framework for Learning, Applying and Consulting Engineering Procedures.
Proceedings of the Intelligent Tutoring Systems, Third International Conference, 1996

1991
Learning Features by Experimentation in Chess.
Proceedings of the Machine Learning, 1991


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