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Henriquez, P. A., & Ruz, G. A. (2017). Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers. Neurocomputing, 226, 109–116.
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Henriquez, P. A., & Ruz, G. A. (2018). A non-iterative method for pruning hidden neurons in neural networks with random weights. Appl. Soft. Comput., 70, 1109–1121.
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Henriquez, P. A., & Ruz, G. A. (2018). Twitter Sentiment Classification Based on Deep Random Vector Functional Link. In 2018 International Joint Conference on Neural Networks (IJCNN).
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Henriquez, P. A., & Ruz, G. A. (2019). Noise reduction for near-infrared spectroscopy data using extreme learning machines. Eng. Appl. Artif. Intell., 79, 13–22.
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Mascareno, A., Cordero, R., Azocar, G., Billi, M., Henriquez, P. A., & Ruz, G. A. (2018). Controversies in social-ecological systems: lessons from a major red tide crisis on Chiloe Island, Chile. Ecol. Soc., 23(4), 25 pp.
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Mascareno, A., Henriquez, P. A., Billi, M., & Ruz, G. A. (2020). A Twitter-Lived Red Tide Crisis on Chiloe Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis? Sustainability, 12(20), 38 pp.
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Ruz, G. A., & Henriquez, P. A. (2019). Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. In IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Vol. 2019).
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Ruz, G. A., Henriquez, P. A., & Mascareno, A. (2020). Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers. Futur. Gener. Comp. Syst., 106, 92–104.
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