| Comprehensive assessment of T-cell receptor β-chain diversity in αβ T cells HS Robins, PV Campregher, SK Srivastava, A Wacher, CJ Turtle, ... Blood, The Journal of the American Society of Hematology 114 (19), 4099-4107, 2009 | 1376 | 2009 |
| Overlap and effective size of the human CD8+ T cell receptor repertoire HS Robins, SK Srivastava, PV Campregher, CJ Turtle, J Andriesen, ... Science translational medicine 2 (47), 47ra64-47ra64, 2010 | 520 | 2010 |
| Bayesian quadratic discriminant analysis. S Srivastava, MR Gupta, BA Frigyik Journal of Machine Learning Research 8 (6), 2007 | 319 | 2007 |
| Logical neural networks R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2020 | 213 | 2020 |
| Functional Bregman divergence and Bayesian estimation of distributions BA Frigyik, S Srivastava, MR Gupta IEEE Transactions on Information Theory 54 (11), 5130-5139, 2008 | 161* | 2008 |
| Completely lazy learning EK Garcia, S Feldman, MR Gupta, S Srivastava IEEE Transactions on Knowledge and Data Engineering 22 (9), 1274-1285, 2009 | 84 | 2009 |
| An introduction to functional derivatives BA Frigyik, S Srivastava, MR Gupta Dept. Electr. Eng., Univ. Washington, Seattle, WA, Tech. Rep 1, 2008 | 62 | 2008 |
| Quantum embedding of knowledge for reasoning D Garg, S Ikbal, SK Srivastava, H Vishwakarma, H Karanam, ... Advances in Neural Information Processing Systems 32, 2019 | 61 | 2019 |
| Parametric Bayesian estimation of differential entropy and relative entropy M Gupta, S Srivastava Entropy 12 (4), 818-843, 2010 | 51 | 2010 |
| Palindromic nucleotide analysis in human T cell receptor rearrangements SK Srivastava, HS Robins PLoS One 7 (12), e52250, 2012 | 30 | 2012 |
| Abnormalities of the αβ T-cell receptor repertoire in advanced myelodysplastic syndrome PV Campregher, SK Srivastava, HJ Deeg, HS Robins, EH Warren Experimental hematology 38 (3), 202-212, 2010 | 24 | 2010 |
| Sygma: System for generalizable modular question answering overknowledge bases S Neelam, U Sharma, H Karanam, S Ikbal, P Kapanipathi, I Abdelaziz, ... arXiv preprint arXiv:2109.13430, 2021 | 22 | 2021 |
| Distribution-based Bayesian minimum expected risk for discriminant analysis S Srivastava, MR Gupta 2006 IEEE international symposium on information theory, 2294-2298, 2006 | 22 | 2006 |
| Bayesian estimation of the entropy of the multivariate Gaussian S Srivastava, MR Gupta 2008 IEEE International Symposium on Information Theory, 1103-1107, 2008 | 16 | 2008 |
| A benchmark for generalizable and interpretable temporal question answering over knowledge bases S Neelam, U Sharma, H Karanam, S Ikbal, P Kapanipathi, I Abdelaziz, ... arXiv preprint arXiv:2201.05793, 2022 | 14 | 2022 |
| Logical neural networks, CoRR abs/2006.13155 (2020) R Riegel, AG Gray, FPS Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... URL: https://arxiv. org/abs/2006 13155, 2020 | 8 | 2020 |
| Inductive quantum embedding SK Srivastava, D Khandelwal, D Madan, D Garg, H Karanam, ... Advances in Neural Information Processing Systems 33, 16012-16024, 2020 | 7 | 2020 |
| Fusing similarities and Euclidean features with generative classifiers L Cazzanti, MR Gupta, S Srivastava 2009 12th International Conference on Information Fusion, 224-231, 2009 | 5 | 2009 |
| Minimum expected risk estimation for near-neighbor classification MR Gupta, S Srivastava, L Cazzanti University of Washington Electrical Engineering Technical Report 2006 6, 2006 | 2 | 2006 |
| A system for predicting health of an E-Contract N Madaan, S Mujumdar, S Srivastava, A Gupta, S Tamilselvam, A Kumar, ... 2018 IEEE International Conference on Services Computing (SCC), 57-64, 2018 | 1 | 2018 |
Paulo Vidal CampregherHospital Israelita Albert EinsteinVerified email at einstein.br