| Optimized pre-processing for discrimination prevention F Calmon, D Wei, B Vinzamuri, K Natesan Ramamurthy, KR Varshney Advances in neural information processing systems 30, 2017 | 1022 | 2017 |
| A survey of partitional and hierarchical clustering algorithms CK Reddy, B Vinzamuri Data clustering, 87-110, 2018 | 231 | 2018 |
| Cox regression with correlation based regularization for electronic health records B Vinzamuri, CK Reddy 2013 IEEE 13th International Conference on Data Mining, 757-766, 2013 | 72 | 2013 |
| Active learning based survival regression for censored data B Vinzamuri, Y Li, CK Reddy Proceedings of the 23rd ACM international conference on conference on …, 2014 | 64 | 2014 |
| Model agnostic multilevel explanations K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar Advances in neural information processing systems 33, 5968-5979, 2020 | 61 | 2020 |
| Personalized recommendation of twitter lists using content and network information V Rakesh, D Singh, B Vinzamuri, CK Reddy Proceedings of the International AAAI Conference on Web and Social Media 8 …, 2014 | 60 | 2014 |
| Data pre-processing for discrimination prevention: Information-theoretic optimization and analysis F du Pin Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney IEEE Journal of Selected Topics in Signal Processing 12 (5), 1106-1119, 2018 | 41 | 2018 |
| Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines C Nagpal, D Wei, B Vinzamuri, M Shekhar, SE Berger, S Das, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 19-29, 2020 | 28 | 2020 |
| Industry specific word embedding and its application in log classification E Khabiri, WM Gifford, B Vinzamuri, D Patel, P Mazzoleni Proceedings of the 28th acm international conference on information and …, 2019 | 26 | 2019 |
| Regularized weighted linear regression for high-dimensional censored data Y Li, B Vinzamuri, CK Reddy Proceedings of the 2016 SIAM International Conference on Data Mining, 45-53, 2016 | 21 | 2016 |
| Constrained elastic net based knowledge transfer for healthcare information exchange Y Li, B Vinzamuri, CK Reddy Data Mining and Knowledge Discovery 29, 1094-1112, 2015 | 21 | 2015 |
| Unsupervised anomaly detection with adversarial mirrored autoencoders G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi Uncertainty in Artificial Intelligence, 365-375, 2021 | 18* | 2021 |
| Pre-processing censored survival data using inverse covariance matrix based calibration B Vinzamuri, Y Li, CK Reddy IEEE Transactions on Knowledge and Data Engineering 29 (10), 2111-2124, 2017 | 10 | 2017 |
| Orthogonal laguerre recurrent neural networks SA Dorado-Rojas, B Vinzamuri, L Vanfretti Mach. Learn. and the Phys. Sci. Workshop at the 34th Conf. on Neural Info …, 2020 | 7 | 2020 |
| Exploring the Causal Relationships between Initial Opioid Prescriptions and Outcomes KRV Jinghe Zhang, Vijay S. Iyengar, Dennis Wei, Bhanukiran Vinzamuri, Hamsa ... AMIA Workshop on Data Mining in Medical Informatics, 2017 | 7 | 2017 |
| Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions X Jin, B Vinzamuri, S Venkatapathy, H Ji, P Natarajan Findings of the Association for Computational Linguistics: EMNLP 2023, 12437 …, 2023 | 5 | 2023 |
| An end-to-end context aware anomaly detection system B Vinzamuri, E Khabiri, A Bhamidipaty, G Mckim, B Gandhi 2020 IEEE International Conference on Big Data (Big Data), 1689-1698, 2020 | 5 | 2020 |
| Feature grouping using weighted l1 norm for high-dimensional data B Vinzamuri, KK Padthe, CK Reddy 2016 IEEE 16th International Conference on Data Mining (ICDM), 1233-1238, 2016 | 5 | 2016 |
| Analysis of feature extraction methods for prediction of 30-day hospital readmissions J Sumner, A Alaeddini Methods of Information in Medicine 58 (06), 213-221, 2019 | 4 | 2019 |
| Crisp: Consensus regularized selection based prediction P Wang, KK Padthe, B Vinzamuri, CK Reddy Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 3 | 2016 |
Kush R. VarshneyIBM ResearchVerified email at us.ibm.com