Identifying growth-patterns in children by applying cluster analysis to electronic medical records. - Moumita Bhattacharya; Deborah Ehrenthal; Hagit Shatkay (BIBM, 2014)

Identifying patterns of associated-conditions through topic models of Electronic Medical Records. - Moumita Bhattacharya; Claudine Jurkovitz; Hagit Shatkay (BIBM, 2016)

Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset. - Moumita Bhattacharya; Claudine Jurkovitz; Hagit Shatkay (BIBM, 2017)

Identifying articles relevant to drug-drug interaction: Addressing class imbalance. - Gongbo Zhang; Moumita Bhattacharya; Heng-Yi Wu; Pengyuan Li 001; Lang Li 001; Hagit Shatkay (BIBM, 2017)

Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling. - Moumita Bhattacharya; Claudine Jurkovitz; Hagit Shatkay (BCB, 2018)

Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes. - Moumita Bhattacharya; Claudine Jurkovitz; Hagit Shatkay (J. Biomed. Informatics, 2018)

Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification. - Moumita Bhattacharya; Claudine Jurkovitz; Hagit Shatkay (BMC Medical Informatics Decis. Mak., 2018)

Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. - Raphael Louca; Moumita Bhattacharya; Diane Hu; Liangjie Hong (RMSE@RecSys, 2019)

Query as Context for Item-to-Item Recommendation. - Moumita Bhattacharya; Amey Barapatre (RecSys, 2020)

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. - Moumita Bhattacharya; Dai-Yin Lu; Ioannis Ventoulis; Gabriela V. Greenland; Hulya Yalcin; Yufan Guan; Joseph E. Marine; Jeffrey E. Olgin; Stefan L. Zimmerman; Theodore P. Abraham; M. Roselle Abraham; Hagit Shatkay (CoRR, 2021)

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model). - Moumita Bhattacharya; Dai-Yin Lu; Shibani M. Kudchadkar; Gabriela Villarreal Greenland; Prasanth Lingamaneni; Celia P. Corona-Villalobos; Yufan Guan; Joseph E. Marine; Jeffrey E. Olgin; Stefan L. Zimmerman; Theodore P. Abraham; Hagit Shatkay; et al. (CoRR, 2021)

Deep Search Relevance Ranking in Practice. - Linsey Pang; Wei Liu 007; Keng-hao Chang; Xue Li; Moumita Bhattacharya; Xianjing Liu; Stephen D. Guo (KDD, 2022)

Augmenting Netflix Search with In-Session Adapted Recommendations. - Moumita Bhattacharya; Sudarshan Lamkhede (RecSys, 2022)

Personalization and Recommendations in Search. - Sudarshan Lamkhede; Anlei Dong; Moumita Bhattacharya; Hongning Wang (WWW (Companion Volume), 2023)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn). - Moumita Bhattacharya; Vito Ostuni; Sudarshan Lamkhede (RecSys, 2024)

Third Workshop on Personalization and Recommendations in Search (PaRiS). - Sudarshan Lamkhede; Hamed Zamani; Moumita Bhattacharya; Hongning Wang (SIGIR, 2024)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning. - Sejoon Oh; Moumita Bhattacharya; Yesu Feng; Sudarshan Lamkhede (CoRR, 2024)