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JP
教育经历
- M.S. Universidad de la Republica (Uruguay), 2012
- Ph.D. University of Colorado, Denver, 2022
- Assistant Professor of the Practice in the Department of Electrical and Computer Engineering
代表成果
- Pastorino J, Biswas AK. Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-Aware COVID-19 chest X-ray classification. In: Proceedings of the 13th ACM International Conference on Bioinformatics Computational Biology and Health Informatics Bcb 2022. 2022.
- Pastorino J, Director JW, Biswas AK, Hawbaker TJ. Determination of optimal set of spatio-Temporal features for predicting burn probability in the state of California, USA. In: Proceedings of the 2022 Acmse Conference Acmse 2022 the Annual ACM Southeast Conference. 2022. p. 151u20138.
- Pastorino J, Biswas AK. Data-Blind ML: Building privacy-aware machine learning models without direct data access. In: Proceedings 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering Aike 2021. 2021. p. 95u20138.
- Pastorino J, Biswas AK. Hey ML, what can you do for me? In: Proceedings 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering Aike 2020. 2020. p. 116u20139.
- Pastorino J, Biswas AK. TexAnASD: Text Analytics for ASD Risk Gene Predictions. In: Proceedings 2019 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2019. 2019. p. 1350u20137.
- Zhang W, Pastorino J. Scaling Formative Feedback in Programming Education through Mastery Learning and AI (Accepted). In: 2026 ASEE Annual Conference & Exposition Proceedings. ASEE Conferences;
- Eva R, Cooper A, Lipp G, Coonley K, Pastorino J. Cultivating Resilience and Collaboration in a Foundational Computing Course (Accepted). In: 2026 ASEE Annual Conference & Exposition Proceedings. ASEE Conferences;
数据校验于 9/6/2026数据来源