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ORCIDSuproteem K. Sarkar
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2020 – today
- 2023
[c4]Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. NeurIPS 2023- 2022
- [i3]Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. CoRR abs/2207.04043 (2022) - 2020
- [c3]Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland:
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS 2020: 1-11 - [e1]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020. Proceedings of Machine Learning Research 136, PMLR 2020 [contents] - [i2]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
ML4H Abstract Track 2020. CoRR abs/2011.11554 (2020)
2010 – 2019
- 2019
- [c2]Alexander Lin, Amil Merchant, Suproteem K. Sarkar, Alexander D'Amour:
Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models. CD@KDD 2019: 50-58 - 2018
- [i1]Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer:
Robust Classification of Financial Risk. CoRR abs/1811.11079 (2018) - 2016
- [c1]Suproteem K. Sarkar, Jnaneshwar Das, Reza Ehsani, Vijay Kumar:
Towards autonomous phytopathology: Outcomes and challenges of citrus greening disease detection through close-range remote sensing. ICRA 2016: 5143-5148
Coauthor Index
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