| Identifying ventricular arrhythmias and their predictors by applying machine learning methods to electronic health records in patients with hypertrophic cardiomyopathy (HCM-VAr … M Bhattacharya, DY Lu, SM Kudchadkar, GV Greenland, P Lingamaneni, ... The American journal of cardiology 123 (10), 1681-1689, 2019 | 59 | 2019 |
| Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. R Louca, M Bhattacharya, D Hu, L Hong RMSE@ RecSys, 2019 | 20 | 2019 |
| Identifying patterns of associated-conditions through topic models of Electronic Medical Records M Bhattacharya, C Jurkovitz, H Shatkay 2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016 | 16 | 2016 |
| Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes M Bhattacharya, C Jurkovitz, H Shatkay Journal of biomedical informatics 82, 31-40, 2018 | 14 | 2018 |
| Identifying growth-patterns in children by applying cluster analysis to electronic medical records M Bhattacharya, D Ehrenthal, H Shatkay 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 11 | 2014 |
| Augmenting Netflix Search with In-Session Adapted Recommendations M Bhattacharya, S Lamkhede Proceedings of the 16th ACM Conference on Recommender Systems, 542-545, 2022 | 9 | 2022 |
| Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification CJHS Moumita Bhattacharya BMC Medical Informatics and Decision Making 18 (Suppl 4), 35-44, 2018 | 9 | 2018 |
| Machine learning methods for identifying atrial fibrillation cases and their predictors in patients with hypertrophic cardiomyopathy: the HCM-AF-Risk Model M Bhattacharya, DY Lu, I Ventoulis, GV Greenland, H Yalcin, Y Guan, ... CJC open 3 (6), 801-813, 2021 | 8 | 2021 |
| Identifying articles relevant to drug-drug interaction: addressing class imbalance G Zhang, M Bhattacharya, HY Wu, P Li, L Li, H Shatkay 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 5 | 2017 |
| Assessing Chronic Kidney Disease from Office Visit Records Using Hierarchical Meta-Classification of an Imbalanced Dataset CJHS M. Bhattacharya 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 5 | 2017 |
| Query as context for item-to-item recommendation M Bhattacharya, A Barapatre Proceedings of the 14th ACM Conference on Recommender Systems, 575-576, 2020 | 3 | 2020 |
| Identifying Ventricular Arrhythmia Cases and their Predictors by Applying Machine Learning Methods to Electronic Health Records (EHR) of Hypertrophic Cardiomyopathy (HCM) Patients HS Moumita Bhattacharya, Dai-Yin Lu, Prasanth Lingamaneni, Shibani ... Circulation 136 (Sup), 2017 | 3 | 2017 |
| Deep Search Relevance Ranking in Practice L Pang, W Liu, KH Chang, X Li, M Bhattacharya, X Liu, S Guo Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 1 | 2022 |
| Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling M Bhattacharya, C Jurkovitz, H Shatkay Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 1 | 2018 |
| Identifying patterns of co-occurring medical conditions through topic models of electronic health records M Bhattacharya, C Jurkovitz, H Shatkay AMIA, iHealth 2017 Clinical Informatics Conference, 2017 | 1 | 2017 |
| Web PageRanking based on User Query P Goswami, M Mantri, M Bhattacharya International Journal of HIT Transaction on ECCN 3 (2A), 21-33, 2017 | 1 | 2017 |
| Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn) M Bhattacharya, V Ostuni, S Lamkhede Proceedings of the 18th ACM Conference on Recommender Systems, 793-795, 2024 | | 2024 |
| IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning S Oh, M Bhattacharya, Y Feng, S Lamkhede arXiv preprint arXiv:2408.05353, 2024 | | 2024 |
| Third Workshop on Personalization and Recommendations in Search (PaRiS) S Lamkhede, H Zamani, M Bhattacharya, H Wang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Improving allele-specific epigenomic signal coverage by 10-fold using Hidden Markov Modeling and Machine Learning ELP Dumont, A Janati, M Bhattacharya, JB Jeannin, C Do bioRxiv, 2024.05. 23.595536, 2024 | | 2024 |
Hagit ShatkayProfessor of Computer and Information Sciences, University of DelawareVerified email at udel.edu
