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ORCIDHéctor R. Gonzalez
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2020 – today
- 2023
[c12]Jorge A. Jimenez-Gari
, Mario Pupo-Meriño, Héctor R. Gonzalez, Francesc J. Ferri:
Multi-conformation Aproach of ENM-NMA Dynamic-Based Descriptors for HIV Drug Resistance Prediction. CIARP 2023: 661-673- [c11]Ireimis Leguen-devarona, Julio Madera, Héctor R. Gonzalez, Lise Tubex, Tim Verdonck:
Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification. IWAIPR 2023: 16-23 - [c10]Reynaldo Rosado, Héctor R. Gonzalez, Orlando Grabiel Toledano-López, Yanio Hernández Heredia:
Multivariate Cuban Consumer Price Index Database, Statistic Analysis and Forecast Baseline Based on Vector Autoregressive. IWAIPR 2023: 24-34 - 2022
- [j1]Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas:
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization. Pattern Recognit. Lett. 160: 105-111 (2022) - [c9]Reynaldo Alvarez Luna, José Jacobo Zubcoff, Irene Garrigós, Héctor R. Gonzalez:
FAIRification of Citizen Science Data. ICWE 2022: 450-454 - [c8]Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas, Thomas Demeester, Erik Mannens:
Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis. IberLEF@SEPLN 2022 - 2021
- [c7]Reynaldo Rosado, Aldis Joan Abreu, José C. Arencibia, Héctor R. Gonzalez, Yanio Hernandez:
Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network. IWAIPR 2021: 33-42 - [c6]Julio Camejo Corona, Héctor R. Gonzalez, Carlos Morell:
Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation. IWAIPR 2021: 60-68 - [c5]Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas:
Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification. IWAIPR 2021: 69-78 - [c4]Yoan Antonio López Rodríguez, Héctor R. Gonzalez, Yusniel Hidalgo-Delgado, Erik Mannens:
An Ontology-Based Source Selection for Federated Query Processing: a Case Study. KGSWC 2021: 125-137
2010 – 2019
- 2018
- [c3]Héctor R. Gonzalez, Carlos Morell, Francesc J. Ferri:
Generalized Multitarget Linear Regression with Output Dependence Estimation. CIARP 2018: 296-304 - [c2]Héctor R. Gonzalez, Carlos Morell, Francesc J. Ferri:
Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression. IWAIPR 2018: 219-227 - 2016
- [c1]Héctor R. Gonzalez, Carlos Morell, Francesc J. Ferri:
Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning. CIARP 2016: 368-376
Coauthor Index
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