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Published in 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 2020
Application of machine learning to the prediction of state-level political polarization.
Recommended citation: Gabriel Mersy, Vincent Santore, Isaac Rand, Corrine Kleinman, Grant Wilson, Jason Bonsall, and Tyler Edwards. 2020. A Comparison of Machine Learning Algorithms Applied to American Legislature Polarization. In Proceedings of the 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), August 11 - Aug 13, 2020, virtual, 451-456. https://doi.org/10.1109/IRI49571.2020.00075 https://arxiv.org/pdf/2008.04072.pdf
Published in 2021 AAAI Conference on Artificial Intelligence, 2021
Feature representation method for deep music genre classification.
Recommended citation: Gabriel Mersy and Jin Hong Kuan. 2021. Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract). In Proceedings of the AAAI Conference on Artificial Intelligence, 35, 18 (May 2021), 15847-15848. https://ojs.aaai.org/index.php/AAAI/article/view/17920
Published in International Journal of Selection and Assessment, 2022
Trace data and machine learning for predicting psychometric criteria.
Recommended citation: Auer, E. M., Mersy, G., Marin, S., Blaik, J., & Landers, R. N. (2022). Using machine learning to model trace behavioral data from a game-based assessment. International Journal of Selection and Assessment, 30, 82–102. https://doi.org/10.1111/ijsa.12363 https://doi.org/10.1111/ijsa.12363
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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