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ORCIDDebajyoti Datta
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2020 – today
- 2022
[j2]Shashwat Kumar
, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura E. Barnes:
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. ACM Trans. Comput. Heal. 3(4): 37:1-37:13 (2022)- [c11]Debajyoti Datta, Maria Phillips, James P. Bywater, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown:
Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations. AIED (2) 2022: 551-554 - [c10]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR 2022 - [c9]Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Mehdi Boukhechba, Laura E. Barnes:
Shape Analysis for Pediatric Upper Body Motor Function Assessment. ISWC 2022: 39-43 - [i8]Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. CoRR abs/2206.15076 (2022) - [i7]Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Laura E. Barnes:
Shape Analysis for Pediatric Upper Body Motor Function Assessment. CoRR abs/2209.04710 (2022) - 2021
- [c8]Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. BEA@EACL 2021: 185-198 - [c7]Debajyoti Datta, Mark Stoodley, Suprio Ray:
Towards just-in-time compilation of SQL queries with OMR JitBuilder. CASCON 2021: 256-261 - [c6]Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba:
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. CHASE 2021: 46-57 - [c5]Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba:
Influenza-like symptom recognition using mobile sensing and graph neural networks. CHIL 2021: 291-300 - [i6]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR abs/2110.08207 (2021) - [i5]Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Evaluation of mathematical questioning strategies using data collected through weak supervision. CoRR abs/2112.00985 (2021) - [i4]Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Improving mathematical questioning in teacher training. CoRR abs/2112.01537 (2021) - 2020
- [i3]Sébastien M. R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, Konstantinos Saitas Zarkias:
learn2learn: A Library for Meta-Learning Research. CoRR abs/2008.12284 (2020) - [i2]Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Tom Fletcher:
Geometry matters: Exploring language examples at the decision boundary. CoRR abs/2010.07212 (2020) - [i1]Debajyoti Datta, Maria Phillips, Jennifer L. Chiu, Ginger S. Watson, James P. Bywater, Laura E. Barnes, Donald E. Brown:
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. CoRR abs/2010.12710 (2020)
2010 – 2019
- 2019
- [j1]Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A. Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte:
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35(21): 4515-4518 (2019) - 2018
- [c4]Sanjana Mendu, Mehdi Boukhechba, Janna R. Gordon, Debajyoti Datta, Edwin Molina, Gloria Arroyo, Sara K. Proctor, Kristen J. Wells, Laura E. Barnes:
Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer. PervasiveHealth 2018: 360-366 - 2016
- [c3]Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes:
Automated Evaluation and Training for Interprofessional Education using Virtual Patients and Providers. AMIA 2016 - [c2]Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes:
A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems. IVA 2016: 451-455 - 2013
- [c1]Maurizio Mancini, Laurent Ach, Emeline Bantegnie, Tobias Baur, Nadia Berthouze, Debajyoti Datta, Yu Ding, Stéphane Dupont, Harry J. Griffin, Florian Lingenfelser, Radoslaw Niewiadomski, Catherine Pelachaud, Olivier Pietquin, Bilal Piot, Jérôme Urbain, Gualtiero Volpe, Johannes Wagner:
Laugh When You're Winning. eNTERFACE 2013: 50-79
Coauthor Index
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