Agapito Ledezma

According to our database1, Agapito Ledezma authored at least 84 papers between 2001 and 2020.

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

Timeline

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Bibliography

2020
Optimization of coverage mission for lightweight unmanned aerial vehicles applied in crop data acquisition.
Expert Syst. Appl., 2020

A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks.
Appl. Soft Comput., 2020

Fuzzy Alarm System based on Human-centered Approach.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2018
From Theory to Practice: A Data Quality Framework for Classification Tasks.
Symmetry, 2018

How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning.
Symmetry, 2018

Feature selection for classification tasks: Expert knowledge or traditional methods?
J. Intell. Fuzzy Syst., 2018

Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin.
Int. J. Agric. Environ. Inf. Syst., 2018

Evolving cloud-based system for the recognition of drivers' actions.
Expert Syst. Appl., 2018

QoS-Classifier for VPN and Non-VPN traffic based on time-related features.
Comput. Networks, 2018

Opponent Modeling in RoboCup Soccer Simulation.
Proceedings of the Advances in Physical Agents, 2018

2017
Water quality detection based on a data mining process on the California estuary.
Int. J. Bus. Intell. Data Min., 2017

Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System.
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series?
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin.
Proceedings of the Engineering Applications of Neural Networks, 2017

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016
Web news mining in an evolving framework.
Inf. Fusion, 2016

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems.
Int. J. Neural Syst., 2016

Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops.
Int. J. Agric. Environ. Inf. Syst., 2016

Social network analysis: Evolving Twitter mining.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Sequential classifiers for network intrusion detection based on data selection process.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2015
Generating ensembles of heterogeneous classifiers using Stacked Generalization.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2015

A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal.
J. Comput., 2015

An ensemble approach of dual base learners for multi-class classification problems.
Inf. Fusion, 2015

An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

2014
Evolving classification of UNIX users' behaviors.
Evol. Syst., 2014

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Intelligent Promotions Recommendation System for Instaprom Platform.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

News Mining Using Evolving Fuzzy Systems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Simul-A2: Agent-based simulator for evaluate ADA systems.
Proceedings of the 17th International Conference on Information Fusion, 2014

Agent-based framework for Advanced Driver Assistance Systems in urban environments.
Proceedings of the 17th International Conference on Information Fusion, 2014

An ensemble method based on evolving classifiers: eStacking.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Time series forecasting using Artificial Neural Networks vs. evolving models.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2013
Online activity recognition using evolving classifiers.
Expert Syst. Appl., 2013

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Evolving systems for computer user behavior classification.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Ensemble method based on individual evolving classifiers.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2012
Creating Evolving User Behavior Profiles Automatically.
IEEE Trans. Knowl. Data Eng., 2012

A new artificial neural network ensemble based on feature selection and class recoding.
Neural Comput. Appl., 2012

Data Mining for User Modeling.
Int. J. Organ. Collect. Intell., 2012

Evolving activity recognition from sensor streams.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Characterizing and Assessing Human-Like Behavior in Cognitive Architectures.
Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

A Machine Consciousness Approach to the Design of Human-Like Bots.
Proceedings of the Believable Bots, 2012

ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots.
Proceedings of the Believable Bots, 2012

2011
A plan classifier based on Chi-square distribution tests.
Intell. Data Anal., 2011

Evolving human activity classifier from sensor streams.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

2010
Human Activity Recognition Based on Evolving Fuzzy Systems.
Int. J. Neural Syst., 2010

GA-stacking: Evolutionary stacked generalization.
Intell. Data Anal., 2010

Evolving classification of agents' behaviors: a general approach.
Evol. Syst., 2010

MMRF for Proteome Annotation Applied to Human Protein Disease Prediction.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework.
Proceedings of the Trends in Applied Intelligent Systems, 2010

User modeling: Through statistical analysis and an evolving classifier.
Proceedings of the FUZZ-IEEE 2010, 2010

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach.
Proceedings of the ECAI 2010, 2010

2009
Ensemble of ANN for Traffic Sign Recognition.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques.
IEEE Trans. Inf. Technol. Biomed., 2009

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach.
Comput. Informatics, 2009

OMBO: An opponent modeling approach.
AI Commun., 2009

Creating User Profiles from a Command-Line Interface: A Statistical Approach.
Proceedings of the User Modeling, 2009

The Winning Advantage: Using Opponent Models in Robot Soccer.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Towards conscious-like behavior in computer game characters.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations.
Proceedings of the Biologically Inspired Cognitive Architectures, 2009

Establishing a roadmap and metrics for conscious machines development.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Verifying Robocup Teams.
Proceedings of the Model Checking and Artificial Intelligence, 5th International Workshop, 2008

Genetic Programming for Predicting Protein Networks.
Proceedings of the Advances in Artificial Intelligence, 2008

Protein-protein functional association prediction using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Genetic Approach for Optimizing Ensembles of Classifiers.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

An Efficient Behavior Classifier based on Distributions of Relevant Events.
Proceedings of the ECAI 2008, 2008

2007
Modeling Consciousness for Autonomous Robot Exploration.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Specialized Ensemble of Classifiers for Traffic Sign Recognition.
Proceedings of the Computational and Ambient Intelligence, 2007

Sequence Classification Using Statistical Pattern Recognition.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

A Static Images Based-System for Traffic Signs Detection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2004
Predicting Opponent Actions by Observation.
Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004

Empirical Evaluation of Optimized Stacking Configurations.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

2003
From Continuous Behaviour to Discrete Knowledge.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers.
Proceedings of the Web Intelligence, 2003

2002
Exploring the Stacking State-Space.
Int. J. Artif. Intell. Tools, 2002

Predicting opponent actions in the RoboSoccer.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

2001
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills.
Proceedings of the Connectionist Models of Neurons, 2001

Empirical Study of a Stacking State-Space.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001


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