Publications

Toward a Life Cycle Assessment for the Carbon Footprint of Data

Published in 2nd Workshop on Sustainable Computer Systems (HotCarbon 2023), 2023

The technical foundations of a carbon life cycle assessment for data and a few new carbon emission reduction techniques.

Recommended citation: Gabriel Mersy, and Sanjay Krishnan. 2023. Toward a Life Cycle Assessment for the Carbon Footprint of Data. 2nd Workshop on Sustainable Computer Systems (HotCarbon 2023). https://dl.acm.org/doi/abs/10.1145/3604930.3605724

Hierarchical Residual Encoding for Multiresolution Time Series Compression

Published in 2023 International Conference on Management of Data (SIGMOD 2023), 2023

Multiresolution time series compression.

Recommended citation: Bruno Barbarioli, Gabriel Mersy, Stavros Sintos, and Sanjay Krishnan. 2023. Hierarchical Residual Encoding for Multiresolution Time Series Compression. 2023 International Conference on Management of Data (SIGMOD 2023). https://dl.acm.org/doi/abs/10.1145/3588953

You are what you click: using machine learning to model trace data for psychometric measurement

Published in International Journal of Testing, 2022

Trace data and machine learning for predicting psychometric criteria.

Recommended citation: Richard N. Landers, Elena M. Auer, Gabriel Mersy, Sebastian Marin & Jason Blaik (2022) You are what you click: using machine learning to model trace data for psychometric measurement, International Journal of Testing, 22:3-4, 243-263, DOI: 10.1080/15305058.2022.2134394 https://doi.org/10.1080/15305058.2022.2134394

Using machine learning to model trace behavioral data from a game-based assessment

Published in International Journal of Selection and Assessment, 2021

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

Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract)

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

A comparison of machine learning algorithms applied to american legislature polarization

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

Gabe Mersy