| Improvements to Platt's SMO algorithm for SVM classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy Neural computation 13 (3), 637-649, 2001 | 2488 | 2001 |
| Improvements to the SMO algorithm for SVM regression SK Shevade, SS Keerthi, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (5), 1188-1193, 2000 | 1267 | 2000 |
| Deepfix: Fixing common c language errors by deep learning R Gupta, S Pal, A Kanade, S Shevade Proceedings of the aaai conference on artificial intelligence 31 (1), 2017 | 594 | 2017 |
| A simple and efficient algorithm for gene selection using sparse logistic regression SK Shevade, SS Keerthi Bioinformatics 19 (17), 2246-2253, 2003 | 584 | 2003 |
| A fast iterative nearest point algorithm for support vector machine classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (1), 124-136, 2000 | 554 | 2000 |
| Multi-category classification by soft-max combination of binary classifiers K Duan, SS Keerthi, W Chu, SK Shevade, AN Poo Multiple Classifier Systems: 4th International Workshop, MCS 2003 Guildford …, 2003 | 249 | 2003 |
| Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profiling SW Nam, JY Park, A Ramasamy, S Shevade, A Islam, PM Long, CK Park, ... Hepatology 42 (4), 809-818, 2005 | 207 | 2005 |
| A fast dual algorithm for kernel logistic regression SS Keerthi, KB Duan, SK Shevade, AN Poo Machine learning 61, 151-165, 2005 | 197 | 2005 |
| SMO algorithm for least-squares SVM formulations SS Keerthi, SK Shevade Neural computation 15 (2), 487-507, 2003 | 161 | 2003 |
| Activethief: Model extraction using active learning and unannotated public data S Pal, Y Gupta, A Shukla, A Kanade, S Shevade, V Ganapathy Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 865-872, 2020 | 111 | 2020 |
| Rough set based incremental clustering of interval data S Asharaf, MN Murty, SK Shevade Pattern Recognition Letters 27 (6), 515-519, 2006 | 96 | 2006 |
| Rough support vector clustering S Asharaf, SK Shevade, MN Murty Pattern Recognition 38 (10), 1779-1783, 2005 | 70 | 2005 |
| Deep reinforcement learning for syntactic error repair in student programs R Gupta, A Kanade, S Shevade Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 930-937, 2019 | 67 | 2019 |
| Multiclass core vector machine S Asharaf, MN Murty, SK Shevade Proceedings of the 24th international conference on Machine learning, 41-48, 2007 | 60 | 2007 |
| A framework for the extraction of deep neural networks by leveraging public data S Pal, Y Gupta, A Shukla, A Kanade, S Shevade, V Ganapathy arXiv preprint arXiv:1905.09165, 2019 | 57 | 2019 |
| A fast quasi-Newton method for semi-supervised SVM IS Reddy, S Shevade, MN Murty Pattern Recognition 44 (10-11), 2305-2313, 2011 | 49 | 2011 |
| Neural attribution for semantic bug-localization in student programs R Gupta, A Kanade, S Shevade Advances in Neural Information Processing Systems 32, 2019 | 46 | 2019 |
| Rexplug: Explainable recommendation using plug-and-play language model DV Hada, SK Shevade Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 43 | 2021 |
| Deep reinforcement learning for programming language correction R Gupta, A Kanade, S Shevade arXiv preprint arXiv:1801.10467, 2018 | 41 | 2018 |
| Learning from positive and unlabelled examples using maximum margin clustering S Chaudhari, S Shevade Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 37 | 2012 |
Narasimha Murty M/ M. N. Murty/M. N....honorary professor, computer science and automation, indian institute of science在 iisc.ac.in 的电子邮件经过验证
