Héctor R. Gonzalez

13 papers B 1C 3Journal 1Unranked 8
YearRankTypeTitle / Venue / Authors
2023 C conf
Multi-conformation Aproach of ENM-NMA Dynamic-Based Descriptors for HIV Drug Resistance Prediction.
CIARP
Jorge A. Jimenez-Gari, Mario Pupo-Meriño, Héctor R. Gonzalez, Francesc J. Ferri
2023 — conf
Multivariate Cuban Consumer Price Index Database, Statistic Analysis and Forecast Baseline Based on Vector Autoregressive.
IWAIPR
Reynaldo Rosado, Héctor R. Gonzalez, Orlando Grabiel Toledano-López, Yanio Hernández Heredia
2023 — conf
Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification.
IWAIPR
Ireimis Leguen-devarona, Julio Madera, Héctor R. Gonzalez, Lise Tubex, Tim Verdonck
2022 J jnl
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization.
Pattern Recognit. Lett.
Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas
2022 B conf
FAIRification of Citizen Science Data.
ICWE
Reynaldo Alvarez Luna, José Jacobo Zubcoff, Irene Garrigós, Héctor R. Gonzalez
2022 — conf
Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis.
IberLEF@SEPLN
Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas, Thomas Demeester, Erik Mannens
2021 — conf
An Ontology-Based Source Selection for Federated Query Processing: a Case Study.
KGSWC
Yoan Antonio López Rodríguez, Héctor R. Gonzalez, Yusniel Hidalgo-Delgado, Erik Mannens
2021 — conf
Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network.
IWAIPR
Reynaldo Rosado, Aldis Joan Abreu, José C. Arencibia, Héctor R. Gonzalez, Yanio Hernandez
2021 — conf
Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification.
IWAIPR
Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas
2021 — conf
Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation.
IWAIPR
Julio Camejo Corona, Héctor R. Gonzalez, Carlos Morell
2018 — conf
Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression.
IWAIPR
Héctor R. Gonzalez, Carlos Morell, Francesc J. Ferri
2018 C conf
Generalized Multitarget Linear Regression with Output Dependence Estimation.
CIARP
Héctor R. Gonzalez, Carlos Morell, Francesc J. Ferri
2016 C conf
Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning.
CIARP
Héctor R. Gonzalez, Carlos Morell, Francesc J. Ferri