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Moumita Bhattacharya

Observed name: Bhattacharya, Moumita
ORCID: 0000-0002-7836-4504
Observed ORCID: 0000-0002-7836-4504
OpenAlex ID: A5047314505
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model)
2019 · Moumita Bhattacharya, Dai-Yin Lu, et al. · The American Journal of Cardiology · 73
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Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes
2018 · Moumita Bhattacharya, Claudine Jurkovitz, et al. · Journal of Biomedical Informatics · 14
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Identifying patterns of associated-conditions through topic models of Electronic Medical Records
2016 · Moumita Bhattacharya, Claudine Jurkovitz, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 14
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Augmenting Netflix Search with In-Session Adapted Recommendations
2022 · Moumita Bhattacharya, Sudarshan Lamkhede · ACM Conference on Recommender Systems (RecSys) · 13
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Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.
2019 · Raphael Louca, Moumita Bhattacharya, et al. · 11
Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification
2018 · Moumita Bhattacharya, Claudine Jurkovitz, et al. · BMC Medical Informatics and Decision Making · 10
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Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
2024 · Moumita Bhattacharya, Vito Ostuni, et al. · ACM Conference on Recommender Systems (RecSys) · 6
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Identifying growth-patterns in children by applying cluster analysis to electronic medical records
2014 · Moumita Bhattacharya, Deborah Ehrenthal, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 5
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Identifying articles relevant to drug-drug interaction: Addressing class imbalance
2017 · Gongbo Zhang, Moumita Bhattacharya, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 4
Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset
2017 · Moumita Bhattacharya, Claudine Jurkovitz, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 4
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IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
2024 · Oh, Sejoon, Bhattacharya, Moumita, et al. · arXiv (Cornell University) · 3
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Query as Context for Item-to-Item Recommendation
2020 · Moumita Bhattacharya, Amey Barapatre · ACM Conference on Recommender Systems (RecSys) · 3
Netflix Artwork Personalization via LLM Post-training
2026 · Nam, Hyunji, Oh, Sejoon, et al. · arXiv (Cornell University) · 2
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Personalization and Recommendations in Search
2023 · Sudarshan Lamkhede, Anlei Dong, et al. · International World Wide Web Conference (WWW) · 2
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Abstract 15967: Identifying Ventricular Arrhythmia Cases and Their Predictors by Applying Machine Learning Methods to Electronic Health Records (EHR) of Hypertrophic Cardiomyopathy (HCM) Patients
2017 · Moumita Bhattacharya, Dai‐Yin Lu, et al. · Circulation · 2
Towards Generalizable and Efficient Large-Scale Generative Recommenders
2026 · Qiuling Xu, Ko-Jen Hsiao, et al. · ACM Conference on Recommender Systems (RecSys) · 1
Robust Post-Training for Generative Recommenders: Why Exponential Reward-Weighted SFT Outperforms RLHF
2026 · Chidambaram, Keertana, Krishnamurthy, Sanath Kumar, et al. · arXiv (Cornell University) · 1
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Application of Transformer to Wearable Sensor-based Complex Human Activity Recognition
2025 · Moumita Bhattacharya, Qingquan Sun, et al. · International Conference on Artificial Intelligence and Big Data (ICAIBD) · 1
Third Workshop on Personalization and Recommendations in Search (PaRiS)
2024 · Sudarshan Lamkhede, Hamed Zamani, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
Deep Search Relevance Ranking in Practice
2022 · Linsey Pang, Wei Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling
2018 · Moumita Bhattacharya, Claudine Jurkovitz, et al. · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · 1
Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction
2026 · Oh, Sejoon, Gil, Fernando Amat, et al. · arXiv (Cornell University)
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Exponential Reward Weighting for Fine-Tuning Generative Recommenders under Sparse and Noisy Feedback
2026 · Chidambaram, Keertana, Krishnamurthy, Sanath Kumar, et al. · arXiv (Cornell University)
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Fourth Workshop on Personalization and Recommendations in Search (PaRiS)
2025 · Sudarshan Lamkhede, Moumita Bhattacharya · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
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Improving allele-specific epigenomic signal coverage by 10-fold using Hidden Markov Modeling and Machine Learning
2024 · Emmanuel LP Dumont, Ali Janati, et al. · bioRxiv (Cold Spring Harbor Laboratory)
Works count: 27
Citation count: 172
H-index: 6
I10-index: 6
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