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ORCIDAgapito Ledezma
Agapito Ledezma Espino – Agapito Ismael Ledezma Espino
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2020 – today
- 2024
[j33]Jose Simmonds, Juan A. Gómez, Agapito Ledezma
:
Testing the Feasibility of an Agent-Based Model for Hydrologic Flow Simulation. Inf. 15(8): 448 (2024)- 2023
- [j32]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): 963 (2023) - [j31]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): 3338 (2023) - 2022
- [i1]Laura Nicolás-Sáenz, Agapito Ledezma, Javier Pascau, Arrate Muñoz-Barrutia:
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation. CoRR abs/2211.08460 (2022) - 2021
- [j30]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: 124711-124726 (2021) - [j29]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: 107689 (2021) - 2020
- [j28]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: 106180 (2020) - [j27]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: 113227 (2020) - [c53]José Antonio Iglesias Martinez, María Paz Sesmero Lorente, Elena Magán López, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. EAIS 2020: 1-8 - [c52]Elena Magán, Agapito Ledezma, M. Paz Sesmero Lorente, Araceli Sanchis:
Fuzzy Alarm System based on Human-centered Approach. VEHITS 2020: 448-455
2010 – 2019
- 2019
- [e1]Raquel Fuentetaja Pizán, Ángel García Olaya, María Paz Sesmero Lorente, José Antonio Iglesias Martinez, Agapito Ledezma Espino:
Advances in Physical Agents - Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain. Advances in Intelligent Systems and Computing 855, Springer 2019, ISBN 978-3-319-99884-8 [contents] - 2018
- [j26]Julian Andres Caicedo-Muñoz, Agapito Ledezma Espino, Juan Carlos Corrales, Álvaro Rendón Gallón:
QoS-Classifier for VPN and Non-VPN traffic based on time-related features. Comput. Networks 144: 271-279 (2018) - [j25]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: 231-238 (2018) - [j24]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): 1-19 (2018) - [j23]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): 2825-2835 (2018) - [j22]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): 99 (2018) - [j21]David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales:
From Theory to Practice: A Data Quality Framework for Classification Tasks. Symmetry 10(7): 248 (2018) - [c51]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Opponent Modeling in RoboCup Soccer Simulation. WAF 2018: 303-316 - 2017
- [j20]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): 406-424 (2017) - [c50]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: 1-6 - [c49]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: 1-5 - [c48]Jose Simmonds, Juan A. Gómez, Agapito Ledezma:
Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin. EANN 2017: 429-440 - [c47]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: 3-16 - [c46]V. Zamora, Oscar Sipele, Agapito Ledezma, Araceli Sanchis:
Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System. VEHITS 2017: 165-172 - 2016
- [j19]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): 41-59 (2016) - [j18]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): 1650002:1-1650002:21 (2016) - [j17]José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis:
Web news mining in an evolving framework. Inf. Fusion 28: 90-98 (2016) - [c45]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: 665-683 - [c44]José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis:
Social network analysis: Evolving Twitter mining. SMC 2016: 1809-1814 - [c43]David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma:
Sequential classifiers for network intrusion detection based on data selection process. SMC 2016: 1827-1832 - 2015
- [j16]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: 122-136 (2015) - [j15]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): 396-405 (2015) - [j14]M. Paz Sesmero Lorente, Agapito Ledezma, Araceli Sanchis:
Generating ensembles of heterogeneous classifiers using Stacked Generalization. WIREs Data Mining Knowl. Discov. 5(1): 21-34 (2015) - [c42]David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales:
An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. ICCSA (1) 2015: 60-74 - 2014
- [j13]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving classification of UNIX users' behaviors. Evol. Syst. 5(4): 231-238 (2014) - [c41]David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. EAIS 2014: 1-8 - [c40]José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS 2014: 1-7 - [c39]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: 58-64 - [c38]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
An ensemble method based on evolving classifiers: eStacking. EALS 2014: 124-131 - [c37]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: 1-8 - [c36]Ariel Vernaza, Agapito Ledezma, Araceli Sanchis:
Simul-A2: Agent-based simulator for evaluate ADA systems. FUSION 2014: 1-7 - [c35]Marcos Martín Pozo, José Antonio Iglesias, Agapito Ismael Ledezma Espino:
Intelligent Promotions Recommendation System for Instaprom Platform. IDEAL 2014: 231-238 - [c34]José Antonio Iglesias, Alexandra Tiemblo, Agapito Ismael Ledezma Espino, Araceli Sanchis:
News Mining Using Evolving Fuzzy Systems. IDEAL 2014: 327-335 - [c33]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: 307-316 - 2013
- [j12]Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis:
Online activity recognition using evolving classifiers. Expert Syst. Appl. 40(4): 1248-1255 (2013) - [c32]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Ensemble method based on individual evolving classifiers. EAIS 2013: 56-61 - [c31]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving systems for computer user behavior classification. EAIS 2013: 78-83 - [c30]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: 335-342 - 2012
- [j11]José Antonio Iglesias Martinez, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
Data Mining for User Modeling. Int. J. Organ. Collect. Intell. 3(1): 35-51 (2012) - [j10]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): 771-783 (2012) - [j9]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24(5): 854-867 (2012) - [c29]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Characterizing and Assessing Human-Like Behavior in Cognitive Architectures. BICA 2012: 7-15 - [c28]José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis:
Evolving activity recognition from sensor streams. EAIS 2012: 96-101 - [p2]Raúl Arrabales Moreno, Jorge Muñoz, Agapito Ledezma, Germán Gutiérrez, Araceli Sanchis:
A Machine Consciousness Approach to the Design of Human-Like Bots. Believable Bots 2012: 171-191 - [p1]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots. Believable Bots 2012: 193-214 - 2011
- [j8]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
A plan classifier based on Chi-square distribution tests. Intell. Data Anal. 15(2): 131-149 (2011) - [c27]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving human activity classifier from sensor streams. EAIS 2011: 139-146 - 2010
- [j7]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving classification of agents' behaviors: a general approach. Evol. Syst. 1(3): 161-171 (2010) - [j6]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
GA-stacking: Evolutionary stacked generalization. Intell. Data Anal. 14(1): 89-119 (2010) - [j5]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. 20(5): 355-364 (2010) - [c26]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI 2010: 1047-1048 - [c25]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE 2010: 1-8 - [c24]Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis:
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. IEA/AIE (3) 2010: 82-91 - [c23]Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis:
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. ILP 2010: 67-75
2000 – 2009
- 2009
- [j4]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
OMBO: An opponent modeling approach. AI Commun. 22(1): 21-35 (2009) - [j3]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics 28(1): 57-80 (2009) - [j2]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): 794-801 (2009) - [c22]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Establishing a roadmap and metrics for conscious machines development. IEEE ICCI 2009: 94-101 - [c21]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 - [c20]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Towards conscious-like behavior in computer game characters. CIG 2009: 217-224 - [c19]José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis:
The Winning Advantage: Using Opponent Models in Robot Soccer. IDEAL 2009: 485-493 - [c18]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP 2009: 90-101 - [r1]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez Sánchez, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
Ensemble of ANN for Traffic Sign Recognition. Encyclopedia of Artificial Intelligence 2009: 554-560 - 2008
- [c17]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
An Efficient Behavior Classifier based on Distributions of Relevant Events. ECAI 2008: 825-826 - [c16]Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis:
Genetic Approach for Optimizing Ensembles of Classifiers. FLAIRS 2008: 89-94 - [c15]Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Protein-protein functional association prediction using genetic programming. GECCO 2008: 347-348 - [c14]Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Genetic Programming for Predicting Protein Networks. IBERAMIA 2008: 432-441 - [c13]Clara Benac Earle, Lars-Åke Fredlund, José Antonio Iglesias, Agapito Ledezma:
Verifying Robocup Teams. MoChArt 2008: 34-48 - 2007
- [c12]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Sequence Classification Using Statistical Pattern Recognition. IDA 2007: 207-218 - [c11]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Specialized Ensemble of Classifiers for Traffic Sign Recognition. IWANN 2007: 733-740 - [c10]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis de Miguel:
Modeling Consciousness for Autonomous Robot Exploration. IWINAC (1) 2007: 51-60 - 2006
- [c9]Valentin Moreno, Agapito Ledezma, Araceli Sanchis:
A Static Images Based-System for Traffic Signs Detection. Artificial Intelligence and Applications 2006: 445-450 - [c8]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI 2006: 117-128 - 2004
- [c7]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Empirical Evaluation of Optimized Stacking Configurations. ICTAI 2004: 49-55 - [c6]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Predicting Opponent Actions by Observation. RoboCup 2004: 286-296 - 2003
- [c5]Javier Carbo Rubiera, Agapito Ledezma:
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers. AWIC 2003: 268-277 - [c4]Agapito Ledezma, Fernando Fernández, Ricardo Aler:
From Continuous Behaviour to Discrete Knowledge. IWANN (2) 2003: 217-224 - 2002
- [j1]Agapito Ledezma, Ricardo Aler, Daniel Borrajo:
Exploring the Stacking State-Space. Int. J. Artif. Intell. Tools 11(2): 267-282 (2002) - [c3]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Predicting opponent actions in the RoboSoccer. SMC (2) 2002: 5 - 2001
- [c2]Agapito Ledezma, Ricardo Aler, Daniel Borrajo:
Empirical Study of a Stacking State-Space. ICTAI 2001: 210-217 - [c1]Agapito Ledezma, Antonio Berlanga, Ricardo Aler:
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) 2001: 799-806
Coauthor Index
José Antonio Iglesias
aka: José Antonio Iglesias Martinez
aka: José Antonio Iglesias Martinez
M. Paz Sesmero Lorente
aka: María Paz Sesmero Lorente
aka: María Paz Sesmero Lorente
Araceli Sanchis
aka: Araceli Sanchis de Miguel
aka: Araceli Sanchis de Miguel
[j32] [j30] [j29] [c53] [c52] [j25] [c51] [c50] [c49] [c46] [j18] [j17] [c44] [c43] [j16] [j14] [j13] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [j12] [c32] [c31] [c30] [j11] [j10] [j9] [c29] [c28] [p2] [p1] [j8] [c27] [j7] [j6] [j5] [c26] [c25] [c24] [c23] [j4] [j3] [j2] [c22] [c21] [c20] [c19] [c18] [r1] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c3]
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