Mononito Goswami

According to our database, Mononito Goswami authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MOMENT: A Family of Open Time-series Foundation Models.

Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski

CoRR, 2024

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract).

Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract).

Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AQuA: A Benchmarking Tool for Label Quality Assessment.

Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Model Selection for Time Series Anomaly Detection.

Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Classifying Unstructured Clinical Notes via Automatic Weak Supervision.

Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2022

Counterfactual Phenotyping with Censored Time-to-Events.

Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact.

Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski

Proceedings of the AMIA 2022, 2022

2021

Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection.

Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao

CoRR, 2021

The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming.

Chufan Gao, Mononito Goswami

CoRR, 2021

Weak Supervision for Affordable Modeling of Electrocardiogram Data.

Mononito Goswami, Benedikt Boecking, Artur Dubrawski

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

A Binary PSO Approach for Improving the Performance of Wireless Sensor Networks.

Ajay Kaushik, Mononito Goswami, Minkush Manuja, S. Indu, Daya Gupta

Wirel. Pers. Commun., 2020

Detecting intrusive transactions in databases using partially-ordered sequential rule mining and fractional-distance based anomaly detection.

Indu Singh, Minkush Manuja, Rishabh Mathur, Mononito Goswami

Int. J. Intell. Eng. Informatics, 2020

Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children.

Mononito Goswami, Minkush Manuja, Maitree Leekha

CoRR, 2020

Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study.

Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, Jack Mostow

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling.

Maitree Leekha, Mononito Goswami, Minni Jain

Proceedings of the Advances in Information Retrieval, 2020

What Makes a Better Companion? Towards Social & Engaging Peer Learning.

Rajni Jindal, Maitree Leekha, Minkush Manuja, Mononito Goswami

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract).

Minni Jain, Maitree Leekha, Mononito Goswami

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract).

Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals.

Mononito Goswami, Lujie Chen, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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, Artur Dubrawski

CoRR, 2019

Are You Paying Attention? Detecting Distracted Driving in Real-Time.

Maitree Leekha, Mononito Goswami, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

What's Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor.

Shiven Mian, Mononito Goswami, Jack Mostow

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System.

Mononito Goswami, Shiven Mian, Jack Mostow

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019