Héctor R. Gonzalez

Orcid: 0000-0002-7601-4201

According to our database1, Héctor R. Gonzalez authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2016
2017
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2020
2021
2022
2023
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Links

On csauthors.net:

Bibliography

2023
Multivariate Cuban Consumer Price Index Database, Statistic Analysis and Forecast Baseline Based on Vector Autoregressive.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

Multi-conformation Aproach of ENM-NMA Dynamic-Based Descriptors for HIV Drug Resistance Prediction.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization.
Pattern Recognit. Lett., 2022

Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

FAIRification of Citizen Science Data.
Proceedings of the Web Engineering - 22nd International Conference, 2022

2021
An Ontology-Based Source Selection for Federated Query Processing: a Case Study.
Proceedings of the Knowledge Graphs and Semantic Web, 2021

Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2018
Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Generalized Multitarget Linear Regression with Output Dependence Estimation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2016
Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016


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