Agapito Ledezma

84 papers A 4B 8C 8Misc 3Journal 32Unranked 27

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Testing the Feasibility of an Agent-Based Model for Hydrologic Flow Simulation. Inf. Jose Simmonds, Juan A. Gómez, Agapito Ledezma
2023	J	`jnl`	ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis. Sensors Laura Nicolás-Sáenz, Agapito Ledezma, Javier Pascau, Arrate Muñoz-Barrutia
2023	J	`jnl`	Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. Sensors Ziga Strzinar, Araceli Sanchis, Agapito Ledezma, Oscar Sipele, Bostjan Pregelj, Igor Skrjanc
2022	J	`jnl`	ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation. CoRR Laura Nicolás-Sáenz, Agapito Ledezma, Javier Pascau, Arrate Muñoz-Barrutia
2021	J	`jnl`	Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Appl. Soft Comput. M. Paz Sesmero Lorente, José Antonio Iglesias, Elena Magán, Agapito Ledezma, Araceli Sanchis
2021	J	`jnl`	IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic. IEEE Access Ascensión López-Vargas, Agapito Ledezma, Jack Bott, Araceli Sanchis
2020	J	`jnl`	A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks. Appl. Soft Comput. David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
2020	C	`conf`	Fuzzy Alarm System based on Human-centered Approach. VEHITS Elena Magán, Agapito Ledezma, M. Paz Sesmero Lorente, Araceli Sanchis
2020	J	`jnl`	Optimization of coverage mission for lightweight unmanned aerial vehicles applied in crop data acquisition. Expert Syst. Appl. Liseth Viviana Campo, Agapito Ledezma, Juan Carlos Corrales
2018	J	`jnl`	Evolving cloud-based system for the recognition of drivers' actions. Expert Syst. Appl. Igor Skrjanc, Goran Andonovski, Agapito Ledezma, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis
2018	J	`jnl`	Feature selection for classification tasks: Expert knowledge or traditional methods? J. Intell. Fuzzy Syst. David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
2018	J	`jnl`	From Theory to Practice: A Data Quality Framework for Classification Tasks. Symmetry David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
2018	J	`jnl`	How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning. Symmetry David Camilo Corrales, Juan Carlos Corrales, Agapito Ledezma
2018	—	`conf`	Opponent Modeling in RoboCup Soccer Simulation. WAF José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2018	J	`jnl`	Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin. Int. J. Agric. Environ. Inf. Syst. Jose Simmonds, Juan A. Gómez, Agapito Ledezma
2017	C	`conf`	Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin. EANN Jose Simmonds, Juan A. Gómez, Agapito Ledezma
2017	—	`conf`	Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. EAIS Igor Skrjanc, Araceli Sanchis de Miguel, José Antonio Iglesias, Agapito Ledezma, Dejan Dovzan
2017	C	`conf`	Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System. VEHITS V. Zamora, Oscar Sipele, Agapito Ledezma, Araceli Sanchis
2017	—	`conf`	Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series? ICCSA (2) David Camilo Corrales, Germán Gutiérrez, Jhonn Pablo Rodríguez, Agapito Ledezma, Juan Carlos Corrales
2017	—	`conf`	Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. EAIS Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias
2017	J	`jnl`	Water quality detection based on a data mining process on the California estuary. Int. J. Bus. Intell. Data Min. Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
2016	J	`jnl`	A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. Int. J. Neural Syst. David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2016	—	`conf`	Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin. ICCSA (4) Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
2016	B	`conf`	Sequential classifiers for network intrusion detection based on data selection process. SMC David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma
2016	B	`conf`	Social network analysis: Evolving Twitter mining. SMC José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis
2016	J	`jnl`	Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops. Int. J. Agric. Environ. Inf. Syst. David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales
2016	J	`jnl`	Web news mining in an evolving framework. Inf. Fusion José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis
2015	J	`jnl`	A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal. J. Comput. David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
2015	—	`conf`	An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. ICCSA (1) David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales
2015	J	`jnl`	An ensemble approach of dual base learners for multi-class classification problems. Inf. Fusion M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
2015	J	`jnl`	Generating ensembles of heterogeneous classifiers using Stacked Generalization. WIREs Data Mining Knowl. Discov. M. Paz Sesmero Lorente, Agapito Ledezma, Araceli Sanchis
2014	Misc	`conf`	A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. AIAI David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2014	—	`conf`	A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. EAIS David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2014	C	`conf`	Agent-based framework for Advanced Driver Assistance Systems in urban environments. FUSION Germán Gutiérrez, José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis
2014	—	`conf`	An ensemble method based on evolving classifiers: eStacking. EALS José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2014	J	`jnl`	Evolving classification of UNIX users' behaviors. Evol. Syst. José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2014	—	`conf`	Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. EALS José Antonio Iglesias, David Griol, Agapito Ledezma, Araceli Sanchis
2014	C	`conf`	Simul-A2: Agent-based simulator for evaluate ADA systems. FUSION Ariel Vernaza, Agapito Ledezma, Araceli Sanchis
2014	—	`conf`	Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
2013	—	`conf`	Ensemble method based on individual evolving classifiers. EAIS José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2013	—	`conf`	Evolving systems for computer user behavior classification. EAIS José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2013	C	`conf`	Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. ICANN Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
2013	J	`jnl`	Online activity recognition using evolving classifiers. Expert Syst. Appl. Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis
2012	—	`ch.`	A Machine Consciousness Approach to the Design of Human-Like Bots. Believable Bots Raúl Arrabales Moreno, Jorge Muñoz, Agapito Ledezma, Germán Gutiérrez, Araceli Sanchis
2012	J	`jnl`	A new artificial neural network ensemble based on feature selection and class recoding. Neural Comput. Appl. M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
2012	—	`conf`	Characterizing and Assessing Human-Like Behavior in Cognitive Architectures. BICA Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
2012	—	`ch.`	ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots. Believable Bots Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
2012	J	`jnl`	Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2012	—	`conf`	Evolving activity recognition from sensor streams. EAIS José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis
2011	J	`jnl`	A plan classifier based on Chi-square distribution tests. Intell. Data Anal. José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka
2011	—	`conf`	Evolving human activity classifier from sensor streams. EAIS José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	J	`jnl`	Evolving classification of agents' behaviors: a general approach. Evol. Syst. José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	J	`jnl`	GA-stacking: Evolutionary stacked generalization. Intell. Data Anal. Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
2010	J	`jnl`	Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	A	`conf`	Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2010	B	`conf`	MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. ILP Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis
2010	—	`conf`	S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. IEA/AIE (3) Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis
2010	B	`conf`	User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2009	—	`conf`	Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
2009	J	`jnl`	CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2009	A	`conf`	Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2009	—	`conf`	Establishing a roadmap and metrics for conscious machines development. IEEE ICCI Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
2009	J	`jnl`	OMBO: An opponent modeling approach. AI Commun. Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
2009	J	`jnl`	Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. IEEE Trans. Inf. Technol. Biomed. Paula de Toledo, Pablo M. Rios, Agapito Ledezma, Araceli Sanchis, Jose F. Alen, Alfonso Lagares
2009	C	`conf`	The Winning Advantage: Using Opponent Models in Robot Soccer. IDEAL José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis
2009	—	`conf`	Towards conscious-like behavior in computer game characters. CIG Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
2008	A	`conf`	An Efficient Behavior Classifier based on Distributions of Relevant Events. ECAI José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka
2008	Misc	`conf`	Genetic Approach for Optimizing Ensembles of Classifiers. FLAIRS Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis
2008	—	`conf`	Genetic Programming for Predicting Protein Networks. IBERAMIA Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis
2008	A	`conf`	Protein-protein functional association prediction using genetic programming. GECCO Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis
2008	—	`conf`	Verifying Robocup Teams. MoChArt Clara Benac Earle, Lars-Åke Fredlund, José Antonio Iglesias, Agapito Ledezma
2007	—	`conf`	Modeling Consciousness for Autonomous Robot Exploration. IWINAC (1) Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis de Miguel
2007	B	`conf`	Sequence Classification Using Statistical Pattern Recognition. IDA José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2007	Misc	`conf`	Specialized Ensemble of Classifiers for Traffic Sign Recognition. IWANN M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
2006	B	`conf`	A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
2006	—	`conf`	A Static Images Based-System for Traffic Signs Detection. Artificial Intelligence and Applications Valentin Moreno, Agapito Ledezma, Araceli Sanchis
2004	B	`conf`	Empirical Evaluation of Optimized Stacking Configurations. ICTAI Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
2004	C	`conf`	Predicting Opponent Actions by Observation. RoboCup Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
2003	—	`conf`	A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers. AWIC Javier Carbo Rubiera, Agapito Ledezma
2003	—	`conf`	From Continuous Behaviour to Discrete Knowledge. IWANN (2) Agapito Ledezma, Fernando Fernández, Ricardo Aler
2002	J	`jnl`	Exploring the Stacking State-Space. Int. J. Artif. Intell. Tools Agapito Ledezma, Ricardo Aler, Daniel Borrajo
2002	—	`conf`	Predicting opponent actions in the RoboSoccer. SMC (2) Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
2001	—	`conf`	Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) Agapito Ledezma, Antonio Berlanga, Ricardo Aler
2001	B	`conf`	Empirical Study of a Stacking State-Space. ICTAI Agapito Ledezma, Ricardo Aler, Daniel Borrajo