Agapito Ledezma

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 30

Top Topics

Classifier Ensemble

Top Venues

Expert Syst. Appl.

Publications

Ziga Strzinar, Araceli Sanchis, Agapito Ledezma, Oscar Sipele, Bostjan Pregelj, Igor Skrjanc
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. Sensors 23 (2) (2023)
Laura Nicolás-Sáenz, Agapito Ledezma, Javier Pascau, Arrate Muñoz-Barrutia
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis. Sensors 23 (6) (2023)
Laura Nicolás-Sáenz, Agapito Ledezma, Javier Pascau, Arrate Muñoz-Barrutia
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation. CoRR (2022)
M. Paz Sesmero Lorente, José Antonio Iglesias, Elena Magán, Agapito Ledezma, Araceli Sanchis
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Appl. Soft Comput. 111 (2021)
Ascensión López-Vargas, Agapito Ledezma, Jack Bott, Araceli Sanchis
IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic. IEEE Access 9 (2021)
David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks. Appl. Soft Comput. 90 (2020)
Liseth Viviana Campo, Agapito Ledezma, Juan Carlos Corrales
Optimization of coverage mission for lightweight unmanned aerial vehicles applied in crop data acquisition. Expert Syst. Appl. 149 (2020)
Elena Magán, Agapito Ledezma, M. Paz Sesmero Lorente, Araceli Sanchis
Fuzzy Alarm System based on Human-centered Approach. VEHITS (2020)
David Camilo Corrales, Juan Carlos Corrales, Agapito Ledezma
How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning. Symmetry 10 (4) (2018)
Igor Skrjanc, Goran Andonovski, Agapito Ledezma, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis
Evolving cloud-based system for the recognition of drivers' actions. Expert Syst. Appl. 99 (2018)
David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
From Theory to Practice: A Data Quality Framework for Classification Tasks. Symmetry 10 (7) (2018)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Opponent Modeling in RoboCup Soccer Simulation. WAF (2018)
David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
Feature selection for classification tasks: Expert knowledge or traditional methods? J. Intell. Fuzzy Syst. 34 (5) (2018)
Jose Simmonds, Juan A. Gómez, Agapito Ledezma
Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin. Int. J. Agric. Environ. Inf. Syst. 9 (2) (2018)
Igor Skrjanc, Araceli Sanchis de Miguel, José Antonio Iglesias, Agapito Ledezma, Dejan Dovzan
Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. EAIS (2017)
Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
Water quality detection based on a data mining process on the California estuary. Int. J. Bus. Intell. Data Min. 12 (4) (2017)
Jose Simmonds, Juan A. Gómez, Agapito Ledezma
Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin. EANN (2017)
Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias
Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. EAIS (2017)
V. Zamora, Oscar Sipele, Agapito Ledezma, Araceli Sanchis
Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System. VEHITS (2017)
David Camilo Corrales, Germán Gutiérrez, Jhonn Pablo Rodríguez, Agapito Ledezma, Juan Carlos Corrales
Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series? ICCSA (2) (2017)
José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis
Web news mining in an evolving framework. Inf. Fusion 28 (2016)
David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. Int. J. Neural Syst. 26 (1) (2016)
David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales
Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops. Int. J. Agric. Environ. Inf. Syst. 7 (3) (2016)
José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis
Social network analysis: Evolving Twitter mining. SMC (2016)
David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma
Sequential classifiers for network intrusion detection based on data selection process. SMC (2016)
Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin. ICCSA (4) (2016)
M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
An ensemble approach of dual base learners for multi-class classification problems. Inf. Fusion 24 (2015)
M. Paz Sesmero Lorente, Agapito Ledezma, Araceli Sanchis
Generating ensembles of heterogeneous classifiers using Stacked Generalization. WIREs Data Mining Knowl. Discov. 5 (1) (2015)
David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales
An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. ICCSA (1) (2015)
David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal. J. Comput. 10 (6) (2015)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
An ensemble method based on evolving classifiers: eStacking. EALS (2014)
José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS (2014)
David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. AIAI (2014)
Ariel Vernaza, Agapito Ledezma, Araceli Sanchis
Simul-A2: Agent-based simulator for evaluate ADA systems. FUSION (2014)
Germán Gutiérrez, José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis
Agent-based framework for Advanced Driver Assistance Systems in urban environments. FUSION (2014)
José Antonio Iglesias, David Griol, Agapito Ledezma, Araceli Sanchis
Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. EALS (2014)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Evolving classification of UNIX users' behaviors. Evol. Syst. 5 (4) (2014)
David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. EAIS (2014)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Ensemble method based on individual evolving classifiers. EAIS (2013)
Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. ICANN (2013)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Evolving systems for computer user behavior classification. EAIS (2013)
Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis
Online activity recognition using evolving classifiers. Expert Syst. Appl. 40 (4) (2013)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24 (5) (2012)
José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis
Evolving activity recognition from sensor streams. EAIS (2012)
Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
Characterizing and Assessing Human-Like Behavior in Cognitive Architectures. BICA (2012)
M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
A new artificial neural network ensemble based on feature selection and class recoding. Neural Comput. Appl. 21 (4) (2012)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Evolving human activity classifier from sensor streams. EAIS (2011)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka
A plan classifier based on Chi-square distribution tests. Intell. Data Anal. 15 (2) (2011)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Evolving classification of agents' behaviors: a general approach. Evol. Syst. 1 (3) (2010)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE (2010)
Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. ILP (2010)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI (2010)
Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. IEA/AIE (3) (2010)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
GA-stacking: Evolutionary stacked generalization. Intell. Data Anal. 14 (1) (2010)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. 20 (5) (2010)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics 28 (1) (2009)
Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
Towards conscious-like behavior in computer game characters. CIG (2009)
Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
Establishing a roadmap and metrics for conscious machines development. IEEE ICCI (2009)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP (2009)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
OMBO: An opponent modeling approach. AI Commun. 22 (1) (2009)
Paula de Toledo, Pablo M. Rios, Agapito Ledezma, Araceli Sanchis, Jose F. Alen, Alfonso Lagares
Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. IEEE Trans. Inf. Technol. Biomed. 13 (5) (2009)
José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis
The Winning Advantage: Using Opponent Models in Robot Soccer. IDEAL (2009)
Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis
Genetic Programming for Predicting Protein Networks. IBERAMIA (2008)
Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis
Genetic Approach for Optimizing Ensembles of Classifiers. FLAIRS Conference (2008)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka
An Efficient Behavior Classifier based on Distributions of Relevant Events. ECAI (2008)
Clara Benac Earle, Lars-Åke Fredlund, José Antonio Iglesias, Agapito Ledezma
Verifying Robocup Teams. MoChArt (2008)
Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis
Protein-protein functional association prediction using genetic programming. GECCO (2008)
Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis de Miguel
Modeling Consciousness for Autonomous Robot Exploration. IWINAC (1) (2007)
M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
Specialized Ensemble of Classifiers for Traffic Sign Recognition. IWANN (2007)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Sequence Classification Using Statistical Pattern Recognition. IDA (2007)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI (2006)
Valentin Moreno, Agapito Ledezma, Araceli Sanchis
A Static Images Based-System for Traffic Signs Detection. Artificial Intelligence and Applications (2006)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Predicting Opponent Actions by Observation. RoboCup (2004)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Empirical Evaluation of Optimized Stacking Configurations. ICTAI (2004)
Agapito Ledezma, Fernando Fernández, Ricardo Aler
From Continuous Behaviour to Discrete Knowledge. IWANN (2) (2003)
Javier Carbo Rubiera, Agapito Ledezma
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers. AWIC (2003)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Predicting opponent actions in the RoboSoccer. SMC (2) (2002)
Agapito Ledezma, Ricardo Aler, Daniel Borrajo
Exploring the Stacking State-Space. Int. J. Artif. Intell. Tools 11 (2) (2002)
Agapito Ledezma, Ricardo Aler, Daniel Borrajo
Empirical Study of a Stacking State-Space. ICTAI (2001)
Agapito Ledezma, Antonio Berlanga, Ricardo Aler
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) (2001)