Követés
Mononito Goswami
Cím
Hivatkozott rá
Hivatkozott rá
Év
Are you paying attention? Detecting distracted driving in real-time
M Leekha, M Goswami, RR Shah, Y Yin, R Zimmermann
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 171-180, 2019
352019
A binary PSO approach for improving the performance of wireless sensor networks
A Kaushik, M Goswami, M Manuja, S Indu, D Gupta
Wireless Personal Communications 113, 263-297, 2020
212020
Counterfactual phenotyping with censored time-to-events
C Nagpal, M Goswami, K Dufendach, A Dubrawski
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
162022
Unsupervised model selection for time-series anomaly detection
M Goswami, C Challu, L Callot, L Minorics, A Kan
arXiv preprint arXiv:2210.01078, 2022
142022
Weak supervision for affordable modeling of electrocardiogram data
M Goswami, B Boecking, A Dubrawski
AMIA Annual Symposium Proceedings 2021, 536, 2021
132021
Towards social & engaging peer learning: Predicting backchanneling and disengagement in children
M Goswami, M Manuja, M Leekha
arXiv preprint arXiv:2007.11346, 2020
102020
Toward learning at scale in developing countries: lessons from the global learning XPRIZE field study
AA McReynolds, SP Naderzad, M Goswami, J Mostow
Proceedings of the Seventh ACM Conference on Learning@ Scale, 175-183, 2020
92020
Classifying unstructured clinical notes via automatic weak supervision
C Gao, M Goswami, J Chen, A Dubrawski
Machine Learning for Healthcare Conference, 673-690, 2022
82022
Learning graph neural networks for multivariate time series anomaly detection
S Ray, S Lakdawala, M Goswami, C Gao
arXiv preprint arXiv:2111.08082, 2021
82021
Discriminating cognitive disequilibrium and flow in problem solving: A semi-supervised approach using involuntary dynamic behavioral signals
M Goswami, L Chen, A Dubrawski
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 420-427, 2020
82020
Detecting intrusive transactions in databases using partially-ordered sequential rule mining and fractional-distance based anomaly detection
I Singh, M Manuja, R Mathur, M Goswami
International Journal of Intelligent Engineering Informatics 8 (2), 138-171, 2020
82020
What makes a better companion? towards social & engaging peer learning
R Jindal, M Leekha, M Manuja, M Goswami
ECAI 2020, 482-489, 2020
82020
What’s most broken? design and evaluation of a tool to guide improvement of an intelligent tutor
S Mian, M Goswami, J Mostow
Artificial Intelligence in Education: 20th International Conference, AIED …, 2019
82019
A multi-task approach to open domain suggestion mining using language model for text over-sampling
M Leekha, M Goswami, M Jain
Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020
62020
A multi-task approach to open domain suggestion mining (student abstract)
M Jain, M Leekha, M Goswami
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13817 …, 2020
42020
Weakly supervised classification of vital sign alerts as real or artifact
A Dey, M Goswami, JH Yoon, G Clermont, M Pinsky, M Hravnak, ...
AMIA Annual Symposium Proceedings 2022, 405, 2022
32022
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
C Gao, F Falck, M Goswami, A Wertz, MR Pinsky, A Dubrawski
arXiv preprint arXiv:1911.05121, 2019
32019
Jolt: Jointly learned representations of language and time-series
Y Cai, M Goswami, A Choudhry, A Srinivasan, A Dubrawski
Deep Generative Models for Health Workshop NeurIPS 2023, 2023
22023
What’s most broken? a tool to assist data-driven iterative improvement of an intelligent tutoring system
M Goswami, S Mian, J Mostow
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9941-9942, 2019
22019
Aqua: A benchmarking tool for label quality assessment
M Goswami, V Sanil, A Choudhry, A Srinivasan, C Udompanyawit, ...
Advances in Neural Information Processing Systems 36, 2024
12024
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20