Pablo A. Henríquez
Orcid: 0000-0003-1382-7368
According to our database1,
Pablo A. Henríquez authored at least 12 papers
between 2017 and 2026.
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Bibliography
2026
Tf-ELM-RVFL: A TensorFlow-based library for extreme learning machines and random vector functional link networks with deep and ensemble architectures.
SoftwareX, 2026
2025
Ensemble Deep RVFL Neural Networks Integrating News and Protest Sentiment for Tourism Stocks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2025
2024
Multimodal Alzheimer's disease classification through ensemble deep random vector functional link neural network.
PeerJ Comput. Sci., 2024
Sentiment Classification on Twitter(X) Through Ensemble Deep Random Vector Functional Links.
Proceedings of the International Conference on Machine Learning and Applications, 2024
2022
Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes.
BMC Medical Informatics Decis. Mak., 2022
2020
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers.
Future Gener. Comput. Syst., 2020
2019
Eng. Appl. Artif. Intell., 2019
Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
A non-iterative method for pruning hidden neurons in neural networks with random weights.
Appl. Soft Comput., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers.
Neurocomputing, 2017
An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017