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Bhanukiran Vinzamuri
Bhanukiran Vinzamuri
Zweryfikowany adres z amazon.com
Tytuł
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Cytowane przez
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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
10312017
A survey of partitional and hierarchical clustering algorithms
CK Reddy, B Vinzamuri
Data clustering, 87-110, 2018
2312018
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
732013
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
642014
Model agnostic multilevel explanations
K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar
Advances in neural information processing systems 33, 5968-5979, 2020
622020
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
612014
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
422018
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
282020
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
262019
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
212016
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
212015
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
102017
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
72020
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
72017
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
52023
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
52020
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
52016
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
42019
IS ORDERED WEIGHTED ℓ1 REGULARIZED REGRESSION ROBUST TO ADVERSARIAL PERTURBATION? A CASE STUDY ON OSCAR
PY Chen, B Vinzamuri, S Liu
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
32018
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