Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A survey I Škrjanc, JA Iglesias, A Sanchis, D Leite, E Lughofer, F Gomide Information sciences 490, 344-368, 2019 | 239 | 2019 |
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 | 168 | 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 | 90 | 2013 |
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 | 78 | 2010 |
Evolving classification of agents’ behaviors: a general approach JA Iglesias, P Angelov, A Ledezma, A Sanchis Evolving Systems 1, 161-171, 2010 | 74 | 2010 |
Web news mining in an evolving framework JA Iglesias, A Tiemblo, A Ledezma, A Sanchis Information Fusion 28, 90-98, 2016 | 56 | 2016 |
Autonomously evolving classifier TEDAClass D Kangin, P Angelov, JA Iglesias Information Sciences 366, 1-11, 2016 | 50 | 2016 |
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 | 41 | 2018 |
Fault detection and identification methodology under an incremental learning framework applied to industrial machinery JA Carino, M Delgado-Prieto, JA Iglesias, A Sanchis, D Zurita, M Millan, ... IEEE access 6, 49755-49766, 2018 | 38 | 2018 |
Creating user profiles from a command-line interface: A statistical approach JA Iglesias, A Ledezma, A Sanchis User Modeling, Adaptation, and Personalization: 17th International …, 2009 | 31 | 2009 |
Two-dimensional shape optimization with nearly conformal transformations JA Iglesias, K Sturm, F Wechsung SIAM Journal on Scientific Computing 40 (6), A3807-A3830, 2018 | 29 | 2018 |
Sequence classification using statistical pattern recognition JA Iglesias, A Ledezma, A Sanchis Advances in Intelligent Data Analysis VII: 7th International Symposium on …, 2007 | 27 | 2007 |
Social network analysis: Evolving Twitter mining JA Iglesias, A Garcia-Cuerva, A Ledezma, A Sanchis 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 24 | 2016 |
Evolving classifier TEDAClass for big data D Kangin, P Angelov, JA Iglesias, A Sanchis Procedia Computer Science 53, 9-18, 2015 | 24 | 2015 |
Modelling evolving user behaviours JA Iglesias, P Angelov, A Ledezma, A Sanchis 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, 16-23, 2009 | 22 | 2009 |
User modeling: Through statistical analysis and subspace learning E García-Cuesta, JA Iglesias Expert Systems with Applications 39 (5), 5243-5250, 2012 | 19 | 2012 |
A comparing method of two team behaviours in the simulation coach competition JA Iglesias, A Ledezma, A Sanchis Modeling Decisions for Artificial Intelligence: Third International …, 2006 | 19 | 2006 |
Caos coach 2006 simulation team: An opponent modelling approach J Antonio, A Ledezma, A Sanchis Computing and Informatics 28, 57-80, 2009 | 17 | 2009 |
Verifying robocup teams C Benac Earle, LÅ Fredlund, JA Iglesias, A Ledezma Model Checking and Artificial Intelligence: 5th International Workshop …, 2009 | 15 | 2009 |
Autonomous data density based clustering method PP Angelov, X Gu, G Gutierrez, JA Iglesias, A Sanchis 2016 International Joint Conference on Neural Networks (IJCNN), 2405-2413, 2016 | 14 | 2016 |