Pablo A. Henríquez

Pablo A. Henríquez

Assitant Professor, Director of Master in Digital Business and Director of the Center for Empirical Research in Businesses (CIEN), Universidad Diego Portales, Santiago, Chile

Short Bio

I received my B.Sc. (2012), P.E. and M.Sc. (2015) degrees in Physics from Universidad de Concepción, Concepción, Chile. I completed my Ph.D. degree (2019) in Complex Systems at Universidad Adolfo Ibáñez, Chile. Currently, I am an Assitant Professor, Director of Master in Digital Business and Director of the Center for Empirical Research in Businesses (CIEN), Facultad de Economía y Empresas, Universidad Diego Portales, Santiago, Chile. My research interests include machine learning, Neural Network with Random Weights, data mining, data science, Business intelligence, complex systems, and computational social science.

Journal Articles (WoS)

  1. Díaz, F., Henríquez, P.A., Hardy, N., Ponce, D. Population Well-being and the COVID-19 Vaccination Program in Chile: Evidence from Google Trends, Public Health, Vol. 219, 2023, 22-30. (LINK)

  2. Ruz, G.A., Araya-Díaz, P., Henríquez, P.A. Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes, BMC Medical Informatics and Decision Making, Vol. 22, 2022, 316. (LINK)

  3. Díaz, F., Henríquez, P. A., Winkelried, D. Heterogeneous Responses in Google Trends Measures of Well-Being to the COVID-19 Dynamic Quarantines in Chile, Scientific Reports, Vol. 12, 2022, 1-12. (LINK)

  4. Cillero, J.I., Henríquez, P.A., Ledger, T.W., Ruz, G.A., González, B. Individual competence predominates over host nutritional status in Arabidopsis root exudate-mediated bacterial enrichment in a combination of four Burkholderiaceae species, BMC Microbiology, Vol. 22, 2022, 218. (LINK)

  5. Billi, M., Mascareño, A., Henríquez, P.A., Rodríguez, I., Padilla, F., Ruz, G.A. Learning from crises? The long and winding road of the salmon industry in Chiloé Island, Chile, Marine Policy, Vol. 120, 2022, 105069. (LINK)

  6. Henríquez, P.A., Sabat, J., Sullivan, JP. Politicians’ willingness to agree: evidence from the interactions in twitter of Chilean deputies, Journal of Information Technology & Politics, 2022, 1-20. (LINK)

  7. Cordero, R., Mascareño, A., Henríquez, P.A., Ruz, G.A. Drawing Constitutional Boundaries: A Digital Historical Analysis of the Writing Process of Pinochet’s 1980 Authoritarian Constitution, Historical Methods: A Journal of Quantitative and Interdisciplinary History, 2022, 1-23. (LINK)

  8. Ruz, G.A., Henríquez, P.A., Mascareño, A. Bayesian Constitutionalization: Twitter Sentiment Analysis of the Chilean Constitutional Process through Bayesian Network Classifiers, Mathematics, 2, 2022, 166. (LINK)

  9. Díaz, F., Henríquez, P. A., Winkelried, D. Stock market volatility and the COVID-19 reproductive number, Research in International Business and Finance,59, 2021, 101517. (LINK)

  10. Díaz, F., Henríquez, P. A. Social sentiment segregation: Evidence from Twitter and Google Trends in Chile during the COVID-19 dynamic quarantine strategy, PLOS ONE,16, 2021, 1–29. (LINK)

  11. Mascareño, A., Henríquez, P.A., Billi, M., Ruz, G.A. A Twitter-Lived Red Tide Crisis on Chiloé Island, Chile: What Can Be Obtained for Social-Ecological Research through Social Media Analysis?, Sustainability, Vol. 12, 2020, 8506. (LINK)

  12. Ruz, G.A., Henríquez, P.A., Mascareño, A., Sentiment classification of Twitter data during critical events by Bayesian networks, Future generation computer systems, Vol. 106, 2020, 92-104. (LINK)

  13. Henríquez, P.A., Ruz, G.A. Noise reduction for near-infrared spectroscopy data using extreme learning machines, Engineering Applications of Artificial Intelligence, Vol. 79, 2019, 12-22. (LINK)

  14. Mascareño, A., Cordero, R., Azócar, G., Billi, M., Henríquez, P.A., Ruz, G.A. Controversies in social- ecological systems: Lessons from a major red tide crisis in Chiloe Island, Chile, Ecology and Society, Vol. 23, 2018, 15. (LINK)

  15. Henríquez, P.A., Ruz, G.A. A non-iterative method for pruning hidden neurons in neural networks with random weights, Applied Soft Computing, Vol. 70, 2018, 1109-1121. (LINK)

  16. Henríquez, P.A., Ruz, G.A. Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers, Neurocomputing, Vol. 226, 2017, 109-116. (LINK)

Papers in Conference Proceedings

  1. Ruz, G.A., Henríquez, P.A., Random vector functional link with naive Bayes for classification prob- lems of mixed data, The IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, Oregon, November 4-6, 2019, pp. 1749-1752.
  2. P.A. Henríquez, G.A. Ruz, Twitter sentiment classification based on deep random vector functional link. The 2018 IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2018), Rio de Janeiro, Brazil, July 8-13, 2018, pp. 272-277.
  3. P.A. Henríquez, G.A. Ruz, An empirical study of the hidden matrix rank for neural networks with random weights. The IEEE 16th International Conference on Machine Learning and Applications (ICMLA 2017), Cancun, Mexico, 18-21 December, 2017, pp. 883-888.

Research Projects Participation

  1. “Sentiment Classification of Social Media Through Randomization-based Neural Networks” (FONDECYT INICIACIÓN 2023- 11230396), 2023-2025, Head Researcher.
  2. “Machine Learning for Mental Health: New Developments and Applications Using Multimodal Data” (Anillos ACT210096), 2021-2024, Associate Researcher.
  3. “Bien Público Observatorio turístico Big Data Región Metropolitana.” Bienes Públicos CORFO (2017- 2019), Data Scientist.
  4. “Gobernando transiciones críticas en sistemas socioecológicos: El caso de Chiloé, Chile”. Regular Fonde- cyt Project 1190265 (2019-2022), Assistant Researcher.
  5. “Modelo de crisis sociales”. Núcleo milenio (2015-2017), Assistant Researcher.
  6. “Learning strategies for discrete, continuous, and hybrid Bayesian network classifiers”. Regular Fondecyt Project 1180706 (2018-2021), Assistant Researcher.
  7. “Constitución política y reprogramación del orden social: Un estudio sobre la producción de conceptos de sociedad en la discusión y redacción de la Constitución chilena de 1980”. Regular Fondecyt Project 1181585 (2018-2021), Assistant Researcher.
  8. “Desarrollo de modelos predictivos usando machine learning para la toma de decisiones en la producción de arándanos bajo condiciones actuales y proyectadas de cambio climático”. Contratos Tecnológicos para la Innovación-CORFO (2018-2019), Data Scientist.