César García-Osorio (ORCID: 0000-0002-1206-1084)

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Juan J. Rodríguez (ORCID: 0000-000...Catedrático (Professor), Universidad de BurgosVerified email at ubu.es
Álvar Arnaiz-GonzálezUniversidad de BurgosVerified email at ubu.es
Jesus MaudesProfesor de Informática (UBU)Verified email at ubu.es
María Consuelo Sáiz ManzanaresProfesora de psicología evolutiva y de la educación en la Facultad de Ciencias de la SaludVerified email at ubu.es
Nicolas Garcia-PedrajasUniversity of CórdobaVerified email at uco.es
Raúl Marticorena (ORCID: 0000-0002-...Universidad de BurgosVerified email at ubu.es
Carlos Pardo AguilarUniversidad de BurgosVerified email at ubu.es
Ludmila KunchevaProfessor of Computer Science, Bangor University, UKVerified email at bangor.ac.uk
Carlos López Nozal (ORCID: 0000-00...Profesor Titular de Escuela UniversitariaVerified email at ubu.es
Mario Juez-GilUniversidad de BurgosVerified email at ubu.es
Andres BustilloUniversity of BurgosVerified email at ubu.es
Miguel Angel Queiruga DiosDepartamento de Didácticas Específicas. Universidad de BurgosVerified email at ubu.es
Guillem QuintanaEurecat Technolgy Centre / Universitat de GironaVerified email at eurecat.org
Miroslaw KordosUniversity of Bielsko-BialaVerified email at ath.bielsko.pl
Joan Carles Melgarejo DraperDepartament de Mineralogia, Petrologia i Geologia AplicadaVerified email at ub.edu
Ismael RamosUniversidad de BurgosVerified email at ubu.es
Marcin BlachnikPolitechnika ŚląskaVerified email at polsl.pl
Juan Jose Saucedo-DorantesUniversidad Autonoma de QueretaroVerified email at hspdigital.org
Susana Jorge VillarUniversity of BurgosVerified email at ubu.es
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk

César García-Osorio (ORCID: 0000-0002-1206-1084)

Catedrático (Professor), Universidad de Burgos (Spain)

Verified email at ubu.es - Homepage

Data Mining Machine Learning Data Visualization Artificial Intelligence


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Random balance: ensembles of variable priors classifiers for imbalanced data JF Díez-Pastor, JJ Rodríguez, C Garcia-Osorio, LI Kuncheva Knowledge-Based Systems 85, 96-111, 2015	183	2015
Diversity techniques improve the performance of the best imbalance learning ensembles JF Díez-Pastor, JJ Rodríguez, CI García-Osorio, LI Kuncheva Information Sciences 325, 98-117, 2015	147	2015
Nonlinear boosting projections for ensemble construction N García-Pedrajas, C García-Osorio, C Fyfe Journal of Machine Learning Research 8 (Jan), 1-33, 2007	101	2007
Democratic instance selection: a linear complexity instance selection algorithm based on classifier ensemble concepts C García-Osorio, A de Haro-García, N García-Pedrajas Artificial Intelligence 174 (5-6), 410-441, 2010	95	2010
Random feature weights for decision tree ensemble construction J Maudes, JJ Rodríguez, C García-Osorio, N García-Pedrajas Information Fusion 13 (1), 20-30, 2012	62	2012
Instance selection of linear complexity for big data Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio Knowledge-Based Systems 107, 83-95, 2016	61	2016
How do B-learning and learning patterns influence learning outcomes? MC Sáiz Manzanares, R Marticorena Sánchez, CI García Osorio, ... Frontiers in Psychology 8, 745, 2017	59	2017
Avoiding neural network fine tuning by using ensemble learning: application to ball-end milling operations A Bustillo, JF Díez-Pastor, G Quintana, C García-Osorio The International Journal of Advanced Manufacturing Technology 57 (5), 521-532, 2011	46	2011
Visualization of high-dimensional data via orthogonal curves C Garcıa-Osorio, C Fyfe Journal of Universal Computer Science 11 (11), 1806-1819, 2005	43	2005
Supervised subspace projections for constructing ensembles of classifiers N García-Pedrajas, J Maudes-Raedo, C García-Osorio, ... Information Sciences 193, 1-21, 2012	34	2012
Forests of nested dichotomies JJ Rodríguez, C García-Osorio, J Maudes Pattern Recognition Letters 31 (2), 125-132, 2010	34	2010
Fusion of instance selection methods in regression tasks Á Arnaiz-González, M Blachnik, M Kordos, C García-Osorio Information Fusion 30, 69-79, 2016	32	2016
Disturbing neighbors diversity for decision forests J Maudes, JJ Rodríguez, C García-Osorio Applications of supervised and unsupervised ensemble methods, 113-133, 2009	32	2009
Does the use of learning management systems with hypermedia mean improved student learning outcomes? MC Sáiz-Manzanares, R Marticorena-Sánchez, JF Díez-Pastor, ... Frontiers in psychology, 88, 2019	26	2019
Rotation Forests for regression C Pardo, JF Diez-Pastor, C García-Osorio, JJ Rodríguez Applied Mathematics and Computation 219 (19), 9914-9924, 2013	26	2013
License plate number recognition-new heuristics and a comparative study of classifiers C Garcia-Osorio, JF Diez-Pastor, JJ Rodríguez, J Maudes Proceedings of the Fifth International Conference on Informatics in Control …, 2008	25	2008
Instance selection for regression: Adapting DROP Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio Neurocomputing 201, 66-81, 2016	24	2016
Constructing ensembles of classifiers using supervised projection methods based on misclassified instances N García-Pedrajas, C García-Osorio Expert Systems with Applications 38 (1), 343-359, 2011	24	2011
Instance selection for regression by discretization Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, CI García-Osorio Expert Systems with Applications 54, 340-350, 2016	23	2016
Monitoring students at the university: Design and application of a moodle plugin MC Sáiz-Manzanares, R Marticorena-Sánchez, CI García-Osorio Applied Sciences 10 (10), 3469, 2020	22	2020

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