Cited by
Cited by
Creating evolving user behavior profiles automatically
JA Iglesias, P Angelov, A Ledezma, A Sanchis
IEEE Transactions on Knowledge and Data Engineering 24 (5), 854-867, 2011
Online activity recognition using evolving classifiers
FJ Ordóñez, JA Iglesias, P De Toledo, A Ledezma, A Sanchis
Expert Systems with Applications 40 (4), 1248-1255, 2013
Generating ensembles of heterogeneous classifiers using stacked generalization
MP Sesmero, AI Ledezma, A Sanchis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (1 …, 2015
Evolving classification of agents’ behaviors: a general approach
JA Iglesias, P Angelov, A Ledezma, A Sanchis
Evolving Systems 1 (3), 161-171, 2010
Human activity recognition based on evolving fuzzy systems
JA Iglesias, P Angelov, A Ledezma, A Sanchis
International journal of neural systems 20 (05), 355-364, 2010
Web news mining in an evolving framework
JA Iglesias, A Tiemblo, A Ledezma, A Sanchis
Information Fusion 28, 90-98, 2016
Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniques
P de Toledo, PM Rios, A Ledezma, A Sanchis, JF Alen, A Lagares
IEEE Transactions on Information Technology in Biomedicine 13 (5), 794-801, 2009
Towards conscious-like behavior in computer game characters
R Arrabales, A Ledezma, A Sanchis
2009 IEEE symposium on computational intelligence and games, 217-224, 2009
ConsScale: A pragmatic scale for measuring the level of consciousness in artificial agents
R Arrabales, A Ledezma, A Sanchis
Journal of Consciousness Studies 17 (3-4), 131-164, 2010
GA-stacking: Evolutionary stacked generalization
A Ledezma, R Aler, A Sanchis, D Borrajo
Intelligent Data Analysis 14 (1), 89-119, 2010
Predicting opponent actions by observation
A Ledezma, R Aler, A Sanchis, D Borrajo
Robot Soccer World Cup, 286-296, 2004
A conceptual framework for data quality in knowledge discovery tasks (FDQ-KDT): A Proposal.
DC Corrales, A Ledezma, JC Corrales
JCP 10 (6), 396-405, 2015
CERA-CRANIUM: A test bed for machine consciousness research
R Arrabales, AI Ledezma Espino, MA Sanchis de Miguel
A new dataset for coffee rust detection in Colombian crops base on classifiers
DC Corrales, A Ledezma, AJ Peña, J Hoyos, A Figueroa, JC Corrales
Sistemas & Telemática 12 (29), 9-23, 2014
Creating user profiles from a command-line interface: A statistical approach
JA Iglesias, A Ledezma, A Sanchis
International Conference on User Modeling, Adaptation, and Personalization …, 2009
Genetic Approach for Optimizing Ensembles of Classifiers.
FJ Ordóñez, A Ledezma, A Sanchis
FLAIRS conference, 89-94, 2008
How to address the data quality issues in regression models: a guided process for data cleaning
DC Corrales, JC Corrales, A Ledezma
Symmetry 10 (4), 99, 2018
Sequence classification using statistical pattern recognition
JA Iglesias, A Ledezma, A Sanchis
International Symposium on Intelligent Data Analysis, 207-218, 2007
Evolving cloud-based system for the recognition of drivers’ actions
I Škrjanc, G Andonovski, A Ledezma, O Sipele, JA Iglesias, A Sanchis
Expert Systems with Applications 99, 231-238, 2018
A new artificial neural network ensemble based on feature selection and class recoding
MP Sesmero, JM Alonso-Weber, G Gutiérrez, A Ledezma, A Sanchis
Neural Computing and Applications 21 (4), 771-783, 2012
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