| 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 | 324 | 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 | 176 | 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 | 96 | 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 | 81 | 2010 |
| Evolving classification of agents’ behaviors: a general approach JA Iglesias, P Angelov, A Ledezma, A Sanchis Evolving Systems 1, 161-171, 2010 | 77 | 2010 |
| Web news mining in an evolving framework JA Iglesias, A Tiemblo, A Ledezma, A Sanchis Information Fusion 28, 90-98, 2016 | 66 | 2016 |
| Autonomously evolving classifier TEDAClass D Kangin, P Angelov, JA Iglesias Information Sciences 366, 1-11, 2016 | 55 | 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 | 49 | 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 | 48 | 2018 |
| Explaining deep learning-based driver models MPS Lorente, EM Lopez, LA Florez, AL Espino, JAI Martínez, ... Applied Sciences 11 (8), 3321, 2021 | 40 | 2021 |
| Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles MP Sesmero, JA Iglesias, E Magán, A Ledezma, A Sanchis Applied Soft Computing 111, 107689, 2021 | 37 | 2021 |
| 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 | 35 | 2009 |
| 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 | 32 | 2016 |
| 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 |
| 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 | 24 | 2009 |
| Cycle and semantic consistent adversarial domain adaptation for reducing simulation-to-real domain shift in lidar bird's eye view A Barrera, J Beltrán, C Guindel, JA Iglesias, F García 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 22 | 2021 |
| Evolving classifier TEDAClass for big data D Kangin, P Angelov, JA Iglesias, A Sanchis Procedia Computer Science 53, 9-18, 2015 | 22 | 2015 |
| Birdnet+: two-stage 3d object detection in lidar through a sparsity-invariant bird’s eye view A Barrera, J Beltran, C Guindel, JA Iglesias, F Garcia IEEE Access 9, 160299-160316, 2021 | 20 | 2021 |
| User modeling: Through statistical analysis and subspace learning E García-Cuesta, JA Iglesias Expert Systems with Applications 39 (5), 5243-5250, 2012 | 20 | 2012 |
| Computing the yield limit in three-dimensional flows of a yield stress fluid about a settling particle JA Iglesias, G Mercier, E Chaparian, IA Frigaard Journal of Non-Newtonian Fluid Mechanics 284, 104374, 2020 | 19 | 2020 |
