Publication - Summary

Conference Proceedings

  • J. Pastorino, J. W. Director, A. K. Biswas, and T. J. Hawbaker. 2022. "Determination of Optimal Set of Spatio-temporal Features for Predicting Burn Probability in the State of California, USA," In 2022 ACM Southeast Conference (ACMSE 2022), April 18–20, 2022, Virtual Event, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3476883.3520228


  • J. Pastorino and A. K. Biswas, "Data-Blind ML: Building Privacy-aware Machine Learning Models Without Direct Data Access," 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2021, pp. 95-98, doi: 10.1109/AIKE52691.2021.00020.


  • J. Pastorino and A. K. Biswas, "Hey ML, What Can You Do for Me?," 2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2020, pp. 116-119, doi: 10.1109/AIKE48582.2020.00023.


  • J. Pastorino and A. K. Biswas, "TexAnASD: Text Analytics for ASD Risk Gene Predictions," 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019, pp. 1350-1357, doi: 10.1109/BIBM47256.2019.8983107.

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