Portrait of Mononito Goswami
PhD Student
Home Department: RI
Advisor: Artur W. Dubrawski
Lab: Auton Lab
Mailing Address
Displaying 6 Publications

2022
Weak Supervision for Affordable Modeling of Electrocardiogram Data
Mononito Goswami, Benedikt Boecking, and Artur Dubrawski
Conference Paper, Proceedings of American Medical Informatics Association Annual Symposium (AMIA '21), pp. 536 - 545, February, 2022
2020
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study
Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, and Jack Mostow
Conference Paper, Proceedings of 7th ACM Conference on Learning @ Scale (L@S '20), pp. 175 - 183, August, 2020
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-supervised Approach Using Involuntary Dynamic Behavioral Signals
Mononito Goswami, Lujie Chen, and Artur Dubrawski
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20) (AI for Social Impact Track), pp. 420 - 427, February, 2020
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring
Mononito Goswami, Lujie Chen, Chufan Gao, and Artur Dubrawski
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20) (Student Abstract Track), pp. 13799 - 13800, February, 2020
2019
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, and Artur Dubrawski
Workshop Paper, NeurIPS '19 Machine Learning for Health Workshop (ML4H '19), December, 2019
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, and Jack Mostow
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19) (Student Abstract Track), pp. 9941 - 9942, January, 2019