Empirical Study of a Stacking State-Space. - Agapito Ledezma; Ricardo Aler; Daniel Borrajo (ICTAI, 2001)

Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. - Agapito Ledezma; Antonio Berlanga; Ricardo Aler (IWANN (1), 2001)

Predicting opponent actions in the RoboSoccer. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (SMC (2), 2002)

Exploring the Stacking State-Space. - Agapito Ledezma; Ricardo Aler; Daniel Borrajo (Int. J. Artif. Intell. Tools, 2002)

A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers. - Javier Carbo Rubiera; Agapito Ledezma (AWIC, 2003)

From Continuous Behaviour to Discrete Knowledge. - Agapito Ledezma; Fernando Fernández 001; Ricardo Aler (IWANN (2), 2003)

Empirical Evaluation of Optimized Stacking Configurations. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (ICTAI, 2004)

Predicting Opponent Actions by Observation. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (RoboCup, 2004)

A Static Images Based-System for Traffic Signs Detection. - Valentin Moreno 001; Agapito Ledezma; Araceli Sanchis (Artificial Intelligence and Applications, 2006)

A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (MDAI, 2006)

Sequence Classification Using Statistical Pattern Recognition. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (IDA, 2007)

Specialized Ensemble of Classifiers for Traffic Sign Recognition. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (IWANN, 2007)

Modeling Consciousness for Autonomous Robot Exploration. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis de Miguel (IWINAC (1), 2007)

An Efficient Behavior Classifier based on Distributions of Relevant Events. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis; Gal A. Kaminka (ECAI, 2008)

Genetic Approach for Optimizing Ensembles of Classifiers. - Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FLAIRS, 2008)

Protein-protein functional association prediction using genetic programming. - Beatriz García Jiménez; Ricardo Aler; Agapito Ledezma; Araceli Sanchis (GECCO, 2008)

Genetic Programming for Predicting Protein Networks. - Beatriz García Jiménez; Ricardo Aler; Agapito Ledezma; Araceli Sanchis (IBERAMIA, 2008)

Verifying Robocup Teams. - Clara Benac Earle; Lars-Åke Fredlund; José Antonio Iglesias 001; Agapito Ledezma (MoChArt, 2008)

Establishing a roadmap and metrics for conscious machines development. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (IEEE ICCI, 2009)

Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Towards conscious-like behavior in computer game characters. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (CIG, 2009)

The Winning Advantage: Using Opponent Models in Robot Soccer. - José Antonio Iglesias 001; Juan Antonio Fernández; Ignacio Ramon Villena; Agapito Ledezma; Araceli Sanchis (IDEAL, 2009)

Creating User Profiles from a Command-Line Interface: A Statistical Approach. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (UMAP, 2009)

OMBO: An opponent modeling approach. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (AI Commun., 2009)

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Comput. Informatics, 2009)

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. - Paula de Toledo; Pablo M. Rios; Agapito Ledezma; Araceli Sanchis; Jose F. Alen; Alfonso Lagares (IEEE Trans. Inf. Technol. Biomed., 2009)

Ensemble of ANN for Traffic Sign Recognition. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez Sánchez; Agapito Ledezma Espino; Araceli Sanchis de Miguel (Encyclopedia of Artificial Intelligence, 2009)

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (ECAI, 2010)

User modeling: Through statistical analysis and an evolving classifier. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (FUZZ-IEEE, 2010)

S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. - Beatriz García Jiménez; Agapito Ledezma; Araceli Sanchis (IEA/AIE (3), 2010)

MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. - Beatriz García Jiménez; Agapito Ledezma; Araceli Sanchis (ILP, 2010)

Evolving classification of agents' behaviors: a general approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2010)

GA-stacking: Evolutionary stacked generalization. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (Intell. Data Anal., 2010)

Human Activity Recognition Based on Evolving Fuzzy Systems. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2010)

Evolving human activity classifier from sensor streams. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2011)

A plan classifier based on Chi-square distribution tests. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis; Gal A. Kaminka (Intell. Data Anal., 2011)

ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (Believable Bots, 2012)

A Machine Consciousness Approach to the Design of Human-Like Bots. - Raúl Arrabales Moreno; Jorge Muñoz; Agapito Ledezma; Germán Gutiérrez; Araceli Sanchis (Believable Bots, 2012)

Characterizing and Assessing Human-Like Behavior in Cognitive Architectures. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (BICA, 2012)

Evolving activity recognition from sensor streams. - José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Paula de Toledo; Araceli Sanchis (EAIS, 2012)

Data Mining for User Modeling. - José Antonio Iglesias Martínez; Agapito Ledezma Espino; Araceli Sanchis de Miguel (Int. J. Organ. Collect. Intell., 2012)

A new artificial neural network ensemble based on feature selection and class recoding. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (Neural Comput. Appl., 2012)

Creating Evolving User Behavior Profiles Automatically. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (IEEE Trans. Knowl. Data Eng., 2012)

Ensemble method based on individual evolving classifiers. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2013)

Evolving systems for computer user behavior classification. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2013)

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. - Juan Manuel Alonso-Weber; M. Paz Sesmero Lorente; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (ICANN, 2013)

Online activity recognition using evolving classifiers. - Francisco Javier Ordóñez; José Antonio Iglesias 001; Paula de Toledo; Agapito Ledezma; Araceli Sanchis (Expert Syst. Appl., 2013)

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2014)

Time series forecasting using Artificial Neural Networks vs. evolving models. - José Antonio Iglesias 001; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (EAIS, 2014)

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. - José Antonio Iglesias 001; David Griol; Agapito Ledezma; Araceli Sanchis (EALS, 2014)

An ensemble method based on evolving classifiers: eStacking. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EALS, 2014)

Agent-based framework for Advanced Driver Assistance Systems in urban environments. - Germán Gutiérrez; José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FUSION, 2014)

Simul-A2: Agent-based simulator for evaluate ADA systems. - Ariel Vernaza; Agapito Ledezma; Araceli Sanchis (FUSION, 2014)

News Mining Using Evolving Fuzzy Systems. - José Antonio Iglesias 001; Alexandra Tiemblo; Agapito Ismael Ledezma Espino; Araceli Sanchis (IDEAL, 2014)

Intelligent Promotions Recommendation System for Instaprom Platform. - Marcos Martín Pozo; José Antonio Iglesias 001; Agapito Ismael Ledezma Espino (IDEAL, 2014)

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (AIAI, 2014)

Evolving classification of UNIX users' behaviors. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2014)

An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. - David Camilo Corrales; Apolinar Figueroa; Agapito Ledezma; Juan Carlos Corrales (ICCSA (1), 2015)

An ensemble approach of dual base learners for multi-class classification problems. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (Inf. Fusion, 2015)

A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal. - David Camilo Corrales; Agapito Ledezma; Juan Carlos Corrales (J. Comput., 2015)

Generating ensembles of heterogeneous classifiers using Stacked Generalization. - M. Paz Sesmero Lorente; Agapito Ledezma; Araceli Sanchis (WIREs Data Mining Knowl. Discov., 2015)

Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin. - Edwin Ferney Castillo; David Camilo Corrales; Emmanuel Lasso; Agapito Ledezma; Juan Carlos Corrales (ICCSA (4), 2016)

Sequential classifiers for network intrusion detection based on data selection process. - David Camilo Corrales; Juan Carlos Corrales; Araceli Sanchis; Agapito Ledezma (SMC, 2016)

Social network analysis: Evolving Twitter mining. - José Antonio Iglesias 001; Aaron Garcia-Cuerva; Agapito Ledezma; Araceli Sanchis (SMC, 2016)

Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops. - David Camilo Corrales; Apolinar Figueroa; Agapito Ledezma; Juan Carlos Corrales (Int. J. Agric. Environ. Inf. Syst., 2016)

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2016)

Web news mining in an evolving framework. - José Antonio Iglesias 001; Alexandra Tiemblo; Agapito Ledezma; Araceli Sanchis (Inf. Fusion, 2016)

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. - Jose Eduardo Gomez; David Camilo Corrales; Juan Carlos Corrales; Araceli Sanchis; Agapito Ledezma; José Antonio Iglesias 001 (EAIS, 2017)

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. - Igor Skrjanc; Araceli Sanchis de Miguel; José Antonio Iglesias 001; Agapito Ledezma; Dejan Dovzan (EAIS, 2017)

Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin. - Jose Simmonds; Juan A. Gómez; Agapito Ledezma (EANN, 2017)

Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series? - David Camilo Corrales; Germán Gutiérrez; Jhonn Pablo Rodríguez; Agapito Ledezma; Juan Carlos Corrales (ICCSA (2), 2017)

Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System. - V. Zamora; Oscar Sipele; Agapito Ledezma; Araceli Sanchis (VEHITS, 2017)

Water quality detection based on a data mining process on the California estuary. - Edwin Ferney Castillo; David Camilo Corrales; Emmanuel Lasso; Agapito Ledezma; Juan Carlos Corrales (Int. J. Bus. Intell. Data Min., 2017)

Opponent Modeling in RoboCup Soccer Simulation. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (WAF, 2018)

QoS-Classifier for VPN and Non-VPN traffic based on time-related features. - Julian Andres Caicedo-Muñoz; Agapito Ledezma Espino; Juan Carlos Corrales; Álvaro Rendón Gallón (Comput. Networks, 2018)

Evolving cloud-based system for the recognition of drivers' actions. - Igor Skrjanc; Goran Andonovski; Agapito Ledezma; Oscar Sipele; José Antonio Iglesias 001; Araceli Sanchis (Expert Syst. Appl., 2018)

Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin. - Jose Simmonds; Juan A. Gómez; Agapito Ledezma (Int. J. Agric. Environ. Inf. Syst., 2018)

Feature selection for classification tasks: Expert knowledge or traditional methods? - David Camilo Corrales; Emmanuel Lasso; Agapito Ledezma; Juan Carlos Corrales (J. Intell. Fuzzy Syst., 2018)

How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning. - David Camilo Corrales; Juan Carlos Corrales; Agapito Ledezma (Symmetry, 2018)

From Theory to Practice: A Data Quality Framework for Classification Tasks. - David Camilo Corrales; Agapito Ledezma; Juan Carlos Corrales (Symmetry, 2018)

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. - José Antonio Iglesias Martínez; María Paz Sesmero Lorente; Elena Magán López; Agapito Ledezma Espino; Araceli Sanchis de Miguel (EAIS, 2020)

Fuzzy Alarm System based on Human-centered Approach. - Elena Magán; Agapito Ledezma; M. Paz Sesmero Lorente; Araceli Sanchis (VEHITS, 2020)

A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks. - David Camilo Corrales; Agapito Ledezma; Juan Carlos Corrales (Appl. Soft Comput., 2020)

Optimization of coverage mission for lightweight unmanned aerial vehicles applied in crop data acquisition. - Liseth Viviana Campo; Agapito Ledezma; Juan Carlos Corrales (Expert Syst. Appl., 2020)

IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic. - Ascensión López-Vargas; Agapito Ledezma; Jack Bott; Araceli Sanchis (IEEE Access, 2021)

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. - M. Paz Sesmero Lorente; José Antonio Iglesias 001; Elena Magán; Agapito Ledezma; Araceli Sanchis (Appl. Soft Comput., 2021)

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation. - Laura Nicolás-Sáenz; Agapito Ledezma; Javier Pascau; Arrate Muñoz-Barrutia (CoRR, 2022)

Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. - Ziga Strzinar; Araceli Sanchis; Agapito Ledezma; Oscar Sipele; Bostjan Pregelj; Igor Skrjanc (Sensors, 2023)

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis. - Laura Nicolás-Sáenz; Agapito Ledezma; Javier Pascau; Arrate Muñoz-Barrutia (Sensors, 2023)

Testing the Feasibility of an Agent-Based Model for Hydrologic Flow Simulation. - Jose Simmonds; Juan A. Gómez; Agapito Ledezma (Inf., 2024)