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Bhanukiran Vinzamuri
Bhanukiran Vinzamuri
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Title
Cited by
Cited by
Year
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
6062017
A survey of partitional and hierarchical clustering algorithms
CK Reddy, B Vinzamuri
Data clustering, 87-110, 2018
1322018
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
612013
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
512014
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
502014
Optimized Pre-Processing for Discrimination Prevention.
F du Pin Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney
NIPS, 2017
322017
Model agnostic multilevel explanations
K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar
Advances in neural information processing systems 33, 5968-5979, 2020
302020
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
192018
Constrained elastic net based knowledge transfer for healthcare information exchange
Y Li, B Vinzamuri, CK Reddy
Data Mining and Knowledge Discovery 29 (4), 1094-1112, 2015
182015
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
162019
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
162016
Unsupervised anomaly detection with adversarial mirrored autoencoders
G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi
Uncertainty in Artificial Intelligence, 365-375, 2021
13*2021
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
132020
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
62017
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
62017
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
42020
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
42016
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
42016
An unsupervised framework for semantics driven causal explanations for anomalies?
B Vinzamuri, E Khabiri, A Bhamidipaty
International Semantic Web Conference: Posters, Demos, and Industry Tracks, 2020
22020
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
22020
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