Mononito Goswami

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Paying Attention

Anomaly Detection

Intelligent Tutoring

Weakly Supervised

Top Venues

Wirel. Pers. Commun.

Publications

Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski
MOMENT: A Family of Open Time-series Foundation Models. CoRR (2024)
Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). AAAI (2024)
Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). AAAI (2024)
Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
AQuA: A Benchmarking Tool for Label Quality Assessment. NeurIPS (2023)
Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan
Unsupervised Model Selection for Time Series Anomaly Detection. ICLR (2023)
Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
AQuA: A Benchmarking Tool for Label Quality Assessment. CoRR (2023)
Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. MLHC (2022)
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
Counterfactual Phenotyping with Censored Time-to-Events. CoRR (2022)
Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. AMIA (2022)
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
Counterfactual Phenotyping with Censored Time-to-Events. KDD (2022)
Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. CoRR (2022)
Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. CoRR (2022)
Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
Unsupervised Model Selection for Time-series Anomaly Detection. CoRR (2022)
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
Weak Supervision for Affordable Modeling of Electrocardiogram Data. CoRR (2022)
Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection. CoRR (2021)
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
Weak Supervision for Affordable Modeling of Electrocardiogram Data. AMIA (2021)
Chufan Gao, Mononito Goswami
The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming. CoRR (2021)
Rajni Jindal, Maitree Leekha, Minkush Manuja, Mononito Goswami
What Makes a Better Companion? Towards Social & Engaging Peer Learning. ECAI (2020)
Mononito Goswami, Minkush Manuja, Maitree Leekha
Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children. CoRR (2020)
Maitree Leekha, Mononito Goswami, Minni Jain
A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling. ECIR (2) (2020)
Mononito Goswami, Lujie Chen, Artur Dubrawski
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. AAAI (2020)
Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). AAAI (2020)
Indu Singh, Minkush Manuja, Rishabh Mathur, Mononito Goswami
Detecting intrusive transactions in databases using partially-ordered sequential rule mining and fractional-distance based anomaly detection. Int. J. Intell. Eng. Informatics 8 (2) (2020)
Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, Jack Mostow
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study. L@S (2020)
Ajay Kaushik, Mononito Goswami, Minkush Manuja, S. Indu, Daya Gupta
A Binary PSO Approach for Improving the Performance of Wireless Sensor Networks. Wirel. Pers. Commun. 113 (1) (2020)
Minni Jain, Maitree Leekha, Mononito Goswami
A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract). AAAI (2020)
Mononito Goswami, Shiven Mian, Jack Mostow
What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. AAAI (2019)
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. CoRR (2019)
Maitree Leekha, Mononito Goswami, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann
Are You Paying Attention? Detecting Distracted Driving in Real-Time. BigMM (2019)
Shiven Mian, Mononito Goswami, Jack Mostow
What's Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor. AIED (1) (2019)