Sergio González Vázquez
Sergio González Vázquez
PhD Student, Department of Computer Science and Artificial Intelligence, University of Granada
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KEEL 3.0: an open source software for multi-stage analysis in data mining
I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, ...
Atlantis Press, 2017
712017
Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity
S González, F Herrera, S García
New Generation Computing 33 (4), 367-388, 2015
242015
Class switching according to nearest enemy distance for learning from highly imbalanced data-sets
S Gónzalez, S García, M Lázaro, AR Figueiras-Vidal, F Herrera
Pattern Recognition 70, 12-24, 2017
202017
Evolutionary fuzzy rule-based methods for monotonic classification
J Alcalá-Fdez, R Alcalá, S González, Y Nojima, S García
IEEE Transactions on Fuzzy Systems 25 (6), 1376-1390, 2017
202017
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets
ZL Zhang, XG Luo, S González, S García, F Herrera
Neurocomputing 285, 176-187, 2018
122018
Chain based sampling for monotonic imbalanced classification
S González, S García, ST Li, F Herrera
Information Sciences 474, 187-204, 2019
72019
Comparison of KEEL versus open source Data Mining tools: Knime and Weka software
J Alcala-Fdez, S Garcia, A Fernandez, J Luengo, S Gonzalez, JA Saez, ...
62016
Managing monotonicity in classification by a pruned adaboost
S González, F Herrera, S García
International Conference on Hybrid Artificial Intelligence Systems, 512-523, 2016
32016
Managing monotonicity in classification by a pruned random forest
S González, F Herrera, S García
International Conference on Intelligent Data Engineering and Automated …, 2015
12015
Preprocessing methodology for time series: An industrial world application case study
J Antonio Cortes-Ibanez, S Gonzalez, J Javier Valle-Alonso, JA Luengo, ...
INFORMATION SCIENCES 514, 385-401, 2020
2020
Preprocessing methodology for time series: An industrial world application case study
JA Cortés-Ibáñez, S González, JJ Valle-Alonso, J Luengo, S García, ...
Information Sciences 514, 385-401, 2020
2020
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
S González, S García, ST Li, R John, F Herrera
arXiv preprint arXiv:2003.02601, 2020
2020
k-Vecinos más Cercanos Difuso para Clasificación Monotónica
S González, S García, ST Li, R John, F Herrera
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018
2018
Comparison of KEEL versus open source Data Mining tools: Knime and Weka software
I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, ...
2016
Intercambio de Clases de acuerdo a la Distancia al Enemigo más Cercano para Problemas con Clases altamente No Balanceadas
S González, M Lázaro, AR Figueiras-Vidal, S Garcıa, F Herrera
XVII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2016
2016
Clasificación Monotónica mediante poda de Bosques Aleatorios
S González, F Herrera, S Garcıa
CAEPIA'15 (Albacete), 2015
2015
Editorial for the Special Section on Fuzzy Systems in Data Science.................. J. Lu, F. Herrera, and G. Zhang 1373
J Alcalá-Fdez, R Alcalá, S González, Y Nojima, S Garcıa, AJ Pinar, J Rice, ...
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Artículos 1–17