Publication - Summary

J. Pastorino, A. K. Biswas. 2022. Data Adequacy Bias Impact in a Data–blinded Semi–supervised GAN for Privacy–aware COVID– 19 Chest X–Ray Classification. In 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB ’22), August 7–10, 2022, Northbrook, IL, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3535508.3545560

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.