Early drift detection method M Baena-Garcıa, J del Campo-Ávila, R Fidalgo, A Bifet, R Gavalda, ... Fourth international workshop on knowledge discovery from data streams 6, 77-86, 2006 | 614 | 2006 |
Online and non-parametric drift detection methods based on Hoeffding’s bounds I Frias-Blanco, J del Campo-Ávila, G Ramos-Jimenez, R Morales-Bueno, ... Knowledge and Data Engineering, IEEE Transactions on 27 (3), 810-823, 2015 | 149 | 2015 |
Bridging the gap between the least and the most influential Twitter users J del Campo-Ávila, N Moreno-Vergara, M Trella-López Procedia Computer Science 19, 437-444, 2013 | 22 | 2013 |
Online adaptive decision trees based on concentration inequalities I Frías-Blanco, J del Campo-Ávila, G Ramos-Jiménez, AC Carvalho, ... Knowledge-Based Systems 104, 179-194, 2016 | 21 | 2016 |
Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift A Ortíz Díaz, J del Campo-Ávila, G Ramos-Jiménez, I Frías Blanco, ... The Scientific World Journal 2015, 2015 | 19 | 2015 |
GNUsmail: Open framework for on-line email classification JM Carmona-Cejudo, M Baena-García, J del Campo-Ávila, ... Frontiers in Artificial Intelligence and Applications 215, 114-1142, 2011 | 19 | 2011 |
Improving Prediction Accuracy of an Incremental Algorithm Driven by Error Margins J del Campo-Ávila, G Ramos-Jiménez, J Gama, R Morales-Bueno IV International Workshop on Knowledge Discovery form Data Streams (IWKDDS …, 2006 | 18* | 2006 |
Incremental algorithm driven by error margins G Ramos-Jiménez, J del Campo-Ávila, R Morales-Bueno International Conference on Discovery Science, 358-362, 2006 | 16 | 2006 |
Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification JM Carmona-Cejudo, M Baena-García, J del Campo-Ávila, RM Bueno, ... Journal of Machine Learning Research-Proceedings Track 17, 12-18, 2011 | 15 | 2011 |
Improving the Performance of an Incremental Algorithm Driven by Error Margins J del Campo-Ávila, G Ramos-Jiménez, J Gama, R Morales-Bueno Intelligent Data Analysis 12, 305-318, 2008 | 15 | 2008 |
Mining Web-based Educational Systems to Predict Student Learning Achievements J del Campo-Ávila, R Conejo, F Triguero, R Morales-Bueno International Journal of Artificial Intelligence and Interactive Multimedia …, 2015 | 11 | 2015 |
Induction of decision trees using an internal control of induction G Ramos-Jiménez, J del Campo-Ávila, R Morales-Bueno International Work-Conference on Artificial Neural Networks, 795-803, 2005 | 10 | 2005 |
Feature extraction for multi-label learning in the domain of email classification JM Carmona-Cejudo, M Baena-García, J del Campo-Ávila, ... Computational Intelligence and Data Mining (CIDM), 2011 IEEE Symposium on, 30-36, 2011 | 8 | 2011 |
Analizying Factors to Increase the Influence of a Twitter User J del Campo-Ávila, N Moreno-Vergara, M Trella-López Highlights in Practical Applications of Agents and Multiagent Systems, 69-76, 2011 | 6 | 2011 |
ML-CIDIM: multiple layers of multiple classifier systems based on CIDIM G Ramos-Jiménez, J del Campo-Ávila, R Morales-Bueno Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 138-146, 2005 | 6 | 2005 |
Nuevos enfoques en aprendizaje incremental J del Campo-Ávila Universidad de Málaga, Servicio de Publicaciones, 2007 | 5 | 2007 |
FE-CIDIM: fast ensemble of CIDIM classifiers G Ramos-Jiménez, J del Campo-Ávila, R Morales-Bueno International journal of systems science 37 (13), 939-947, 2006 | 5 | 2006 |
Hybridizing ensemble classifiers with individual classifiers G Ramos-Jiménez, J del Campo-Ávila, R Morales-Bueno Intelligent Systems Design and Applications, 2009. ISDA'09. Ninth …, 2009 | 4 | 2009 |
E-CIDIM: ensemble of CIDIM classifiers G Ramos-Jiménez, J del Campo-Ávila, R Morales-Bueno International Conference on Advanced Data Mining and Applications, 108-117, 2005 | 4 | 2005 |
Modelado de un robot móvil basado en aprendizaje inductivo J Ruiz-Gómez, G Ramos-Jiménez, J del Campo-Ávila, A García-Cerezo, ... VI Jornadas de Transferencia Tecnológica de Inteligencia Artificia, TTIA …, 2005 | 4 | 2005 |