Folgen
Mononito Goswami
Mononito Goswami
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
192019
Counterfactual phenotyping with censored time-to-events
C Nagpal, M Goswami, K Dufendach, A Dubrawski
arXiv preprint arXiv:2202.11089, 2022
92022
Towards social & engaging peer learning: Predicting backchanneling and disengagement in children
M Goswami, M Manuja, M Leekha
arXiv preprint arXiv:2007.11346, 2020
92020
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 (1), 263-297, 2020
82020
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
72020
Weak Supervision for Affordable Modeling of Electrocardiogram Data
M Goswami, B Boecking, A Dubrawski
AMIA Annual Symposium Proceedings 2021, 536, 2021
62021
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
62020
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
62020
What makes a better companion? towards social & engaging peer learning
R Jindal, M Leekha, M Manuja, M Goswami
ECAI 2020, 482-489, 2020
62020
A multi-task approach to open domain suggestion mining using language model for text over-sampling
M Leekha, M Goswami, M Jain
European Conference on Information Retrieval, 223-229, 2020
42020
What’s most broken? Design and evaluation of a tool to guide improvement of an intelligent tutor
S Mian, M Goswami, J Mostow
International Conference on Artificial Intelligence in Education, 283-295, 2019
42019
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection
S Ray, S Lakdawala, M Goswami, C Gao
arXiv preprint arXiv:2111.08082, 2021
32021
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
32020
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
22019
Classifying unstructured clinical notes via automatic weak supervision
C Gao, M Goswami, J Chen, A Dubrawski
arXiv preprint arXiv:2206.12088, 2022
12022
Weakly supervised classification of vital sign alerts as real or artifact
A Dey, M Goswami, JH Yoon, G Clermont, M Pinsky, M Hravnak, ...
arXiv preprint arXiv:2206.09074, 2022
12022
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)
M Goswami, L Chen, C Gao, A Dubrawski
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13799 …, 2020
12020
Using Weakly Supervised Machine Learning to Label Atrial Fibrillation in Real-World Intensive Care Unit Telemetry Data
SR Rooney, R Kaufman, M Goswami, MR Pinsky, JK Miller, S Al-Zaiti, ...
Circulation 146 (Suppl_1), A10198-A10198, 2022
2022
Unsupervised Model Selection for Time-series Anomaly Detection
M Goswami, C Challu, L Callot, L Minorics, A Kan
arXiv preprint arXiv:2210.01078, 2022
2022
ACTIVE REFINEMENT OF WEAKLY SUPERVISED MODELS
M Goswami, C Gao, B Boecking, S Ray, A Dubrawski
2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20