Agapito Ledezma

Ricardo Aler, Agapito Ledezma, Daniel Borrajo, 2001, Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001.

Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin

Agapito Ledezma, Jose Simmonds, Juan A. Gómez, 2018, Int. J. Agric. Environ. Inf. Syst..

Exploring the Stacking State-Space

Ricardo Aler, Agapito Ledezma, Daniel Borrajo, 2002, Int. J. Artif. Intell. Tools.

Web news mining in an evolving framework

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2016, Inf. Fusion.

Real-Time Recognition of Calling Pattern and Behaviour of Mobile Phone Users through Anomaly Detection and Dynamically-Evolving Clustering

Araceli Sanchis, Plamen Angelov, Agapito Ledezma, 2017 .

Evolving systems for computer user behavior classification

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

The role of agent-based modeling and multi-agent systems in flood-based hydrological problems: a brief review

Agapito Ledezma, Jose Simmonds, Juan A. Gómez, 2019, Journal of Water and Climate Change.

An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2015, ICCSA.

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems

Dejan Dovzan, Igor Skrjanc, Araceli Sanchis, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

GA-stacking: Evolutionary stacked generalization

Araceli Sanchis, Ricardo Aler, Agapito Ledezma, 2010, Intell. Data Anal..

A Static Images Based-System for Traffic Signs Detection

Araceli Sanchis, Valentin Moreno, Agapito Ledezma, 2006, Artificial Intelligence and Applications.

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

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2018, Symmetry.

Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System

Araceli Sanchis, Agapito Ledezma, Oscar Sipele, 2017, VEHITS.

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques

Araceli Sanchis, Agapito Ledezma, Paula de Toledo, 2009, IEEE Transactions on Information Technology in Biomedicine.

Sequential classifiers for network intrusion detection based on data selection process

Araceli Sanchis, Juan Carlos Corrales, Agapito Ledezma, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Evolving activity recognition from sensor streams

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

QoS-Classifier for VPN and Non-VPN traffic based on time-related features

Juan Carlos Corrales, Agapito Ledezma, Julian Andres Caicedo-Muñoz, 2018, Comput. Networks.

Opponent Modeling in RoboCup Soccer Simulation

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2018, WAF.

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems

David Griol, Araceli Sanchis, Agapito Ledezma, 2014, AIAI.

Evolving classification of UNIX users’ behaviors

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2014, Evol. Syst..

Towards conscious-like behavior in computer game characters

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales Moreno, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

Estimation of coffee rust infection and growth through two-level classifier ensembles based on expert knowledge

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2018 .

Evolving human activity classifier from sensor streams

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2016, ICCSA.

Optimization of coverage mission for lightweight unmanned aerial vehicles applied in crop data acquisition

Juan Carlos Corrales, Agapito Ledezma, Liseth Campo, 2020, Expert Syst. Appl..

A systematic review of data quality issues in knowledge discovery tasks

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2016 .

Social network analysis: Evolving Twitter mining

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin

Agapito Ledezma, Jose Simmonds, Juan A. Gómez, 2017, EANN.

A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2015, J. Comput..

Modelling evolving user behaviours

Araceli Sanchis, Plamen Angelov, Agapito Ledezma, 2009, 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems.

Feature selection for classification tasks: Expert knowledge or traditional methods?

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2018, J. Intell. Fuzzy Syst..

User modeling: Through statistical analysis and an evolving classifier

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, International Conference on Fuzzy Systems.

S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework

Beatriz García Jiménez, Araceli Sanchis, Agapito Ledezma, 2010, IEA/AIE.

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging

Araceli Sanchis, Agapito Ledezma, J. M. Alonso-Weber, 2013, ICANN.

A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2020, Appl. Soft Comput..

Online activity recognition using evolving classifiers

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2013, Expert Syst. Appl..

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2009, Comput. Informatics.

Human Activity Recognition Based on Evolving Fuzzy Systems

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, Int. J. Neural Syst..

Predicting opponent actions in the RoboSoccer

Araceli Sanchis, Ricardo Aler, Agapito Ledezma, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Creating User Profiles from a Command-Line Interface: A Statistical Approach

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2009, UMAP.

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

News Mining Using Evolving Fuzzy Systems

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2014, IDEAL.

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, ECAI.

Generating ensembles of heterogeneous classifiers using Stacked Generalization

Araceli Sanchis, Agapito Ledezma, M. Paz Sesmero Lorente, 2015, WIREs Data Mining Knowl. Discov..

A Machine Consciousness Approach to the Design of Human-Like Bots

Araceli Sanchis, Germán Gutiérrez, Agapito Ledezma, 2012, Believable Bots.

A new artificial neural network ensemble based on feature selection and class recoding

Araceli Sanchis, Germán Gutiérrez, Agapito Ledezma, 2012, Neural Computing and Applications.

Caos Online Coach 2006 Team Description

Araceli Sanchis, Agapito Ledezma, Jose Antonio Iglesias, 2006 .

Creating Evolving User Behavior Profiles Automatically

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2012, IEEE Transactions on Knowledge and Data Engineering.

Cybernetics of the Mind: Learning Individual's Perceptions Autonomously

Xiaowei Gu, Araceli Sanchis, Ramin Ramezani, 2017, IEEE Systems, Man, and Cybernetics Magazine.

Verifying Robocup Teams

Lars-Åke Fredlund, Agapito Ledezma, José Antonio Iglesias, 2009, MoChArt.

Agent-based framework for Advanced Driver Assistance Systems in urban environments

Araceli Sanchis, Germán Gutiérrez, Agapito Ledezma, 2014, 17th International Conference on Information Fusion (FUSION).

Simulating visual qualia in the CERA-CRANIUM cognitive architecture.

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2011, Advances in experimental medicine and biology.

An ensemble approach of dual base learners for multi-class classification problems

Araceli Sanchis, Germán Gutiérrez, Agapito Ledezma, 2015, Inf. Fusion.

An Efficient Behavior Classifier based on Distributions of Relevant Events

Araceli Sanchis, Agapito Ledezma, Gal A. Kaminka, 2008, ECAI.

Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series?

Germán Gutiérrez, Juan Carlos Corrales, Agapito Ledezma, 2017, ICCSA.

Modeling Consciousness for Autonomous Robot Exploration

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales Moreno, 2007, IWINAC.

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset

Araceli Sanchis, Juan Carlos Corrales, Agapito Ledezma, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

A plan classifier based on Chi-square distribution tests

Araceli Sanchis, Agapito Ledezma, Gal A. Kaminka, 2011, Intell. Data Anal..

CERA-CRANIUM: a test bed for machine consciousness research

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2009 .

COMPARING BEHAVIOR IN AGENT MODELLING TASK

Araceli Sanchis, Agapito Ledezma, Jose Antonio Iglesias, 2006 .

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems

David Griol, Araceli Sanchis, Agapito Ledezma, 2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS).

ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales Moreno, 2012, Believable Bots.

Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2016, Int. J. Agric. Environ. Inf. Syst..

Silkworm Growth Monitoring in Second Stage -Instar- Using Artificial Vision Techniques

Agapito Ledezma, Luis Javier Suárez, Yaneth Patricia López, 2018 .

From Theory to Practice: A Data Quality Framework for Classification Tasks

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2018, Symmetry.

Time series forecasting using Artificial Neural Networks vs. evolving models

Araceli Sanchis, Germán Gutiérrez, Agapito Ledezma, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Water quality detection based on a data mining process on the California estuary

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2017 .

Fuzzy Alarm System based on Human-centered Approach

Araceli Sanchis, Agapito Ledezma, Elena Magán, 2020, International Conference on Vehicle Technology and Intelligent Transport Systems.

OMBO: An opponent modeling approach

Araceli Sanchis, Ricardo Aler, Agapito Ledezma, 2009, AI Commun..

Simul-A2: Agent-based simulator for evaluate ADA systems

Araceli Sanchis, Agapito Ledezma, Ariel Vernaza, 2014, 17th International Conference on Information Fusion (FUSION).

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers

David Griol, Araceli Sanchis, Agapito Ledezma, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Specialized Ensemble of Classifiers for Traffic Sign Recognition

Araceli Sanchis, Germán Gutiérrez, Agapito Ledezma, 2007, IWANN.

Water quality detection based on a data mining process on the California estuary

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2017, Int. J. Bus. Intell. Data Min..

Genetic Approach for Optimizing Ensembles of Classifiers

Araceli Sanchis, Agapito Ledezma, Francisco Javier Ordóñez, 2008, FLAIRS.

Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales Moreno, 2009, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.

Sequence Classification Using Statistical Pattern Recognition

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2007, IDA.

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems

David Griol, Araceli Sanchis, Agapito Ledezma, 2016, Int. J. Neural Syst..

Empirical evaluation of optimized stacking configurations

Araceli Sanchis, Ricardo Aler, Agapito Ledezma, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Heuristic Search-Based Stacking of Classifiers

Ricardo Aler, Agapito Ledezma, Daniel Borrajo, 2002 .

User Modeling in Soft Computing Framework

Araceli Sanchis, Agapito Ledezma, Jose Antonio Iglesias, 2010 .

Evolving classification of agents’ behaviors: a general approach

Plamen P. Angelov, Araceli Sanchis, Agapito Ledezma, 2010, Evol. Syst..

Protein-protein functional association prediction using genetic programming

Beatriz García Jiménez, Araceli Sanchis, Ricardo Aler, 2008, GECCO '08.

A new dataset for coffee rust detection in Colombian crops base on classifiers

Juan Carlos Corrales, Agapito Ledezma, David Camilo Corrales, 2014 .

Predicting Opponent Actions by Observation

Araceli Sanchis, Ricardo Aler, Agapito Ledezma, 2004, RoboCup.

Intelligent Promotions Recommendation System for Instaprom Platform

Agapito Ledezma, José Antonio Iglesias, Marcos Martín Pozo, 2014, IDEAL.

Data Mining for User Modeling

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2012, International Journal of Organizational and Collective Intelligence.

Ensemble method based on individual evolving classifiers

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic

Araceli Sanchis, Agapito Ledezma, Jack Bott, 2021, IEEE Access.

Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems

Araceli Sanchis, Agapito Ledezma, M. Paz Sesmero, 2021, Electronics.

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles

Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias, 2021, Appl. Soft Comput..

Towards the Generation of Visual Qualia in Artificial Cognitive Architectures

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2010 .

, and Araceli Sanchis Designing Human-like Video Game Synthetic Characters through Machine Consciousness

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2009 .

ConsScale: A pragmatic scale for measuring the level of consciousness in artificial agents

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2010 .

STRATEGIES FOR MEASURING MACHINE CONSCIOUSNESS

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2009 .

Criteria for Consciousness in Artificial Intelligent Agents

Araceli Sanchis, Agapito Ledezma, Raúl Arrabales, 2008 .

A Cognitive Approach to Multimodal Attention

Araceli Sanchis, Agapito Ledezma, 2009 .