Sergio González Vázquez
Sergio González Vázquez
PhD on Information & Communications Technology. Department of Computer Science and Artificial
Verified email at
Cited by
Cited by
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
S González, S García, J Del Ser, L Rokach, F Herrera
Information Fusion 64, 205-237, 2020
KEEL 3.0: an open source software for multi-stage analysis in data mining
I Triguero, S González, JM Moyano, S García, J Alcalá-Fdez, J Luengo, ...
International Journal of Computational Intelligence Systems 10 (1), 1238-1249, 2017
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
Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity
S González, F Herrera, S García
New Generation Computing 33, 367-388, 2015
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
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
Chain based sampling for monotonic imbalanced classification
S González, S García, ST Li, F Herrera
Information Sciences 474, 187-204, 2019
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
Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
S González, S García, ST Li, R John, F Herrera
Neurocomputing 439, 106-121, 2021
A benchmark for machine-learning based non-invasive blood pressure estimation using photoplethysmogram
S González, WT Hsieh, TPC Chen
Scientific Data 10 (1), 149, 2023
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, ...
Academic Press, 2016
Managing monotonicity in classification by a pruned adaboost
S González, F Herrera, S García
Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016
Managing monotonicity in classification by a pruned random forest
S González, F Herrera, S García
Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th …, 2015
Multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV
S González, AKC Yi, WT Hsieh, WC Chen, CL Wang, VCC Wu, SH Chang
Information Fusion, 102337, 2024
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management
JH Soeseno, S González, TPC Chen
arXiv preprint arXiv:2304.06344, 2023
Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram
S González, WT Hsieh, D Burba, TPC Chen, CL Wang, VCC Wu, ...
2022 E-Health and Bioengineering Conference (EHB), 1-4, 2022
Preprocessing and ensemble approaches for singular problems: monotonic and imbalanced classification
S González Vázquez
Universidad de Granada, 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
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
Clasificación Monotónica mediante poda de Bosques Aleatorios
S González, F Herrera, S Garcıa
CAEPIA'15 (Albacete), 2015
The system can't perform the operation now. Try again later.
Articles 1–20