| Chance constrained uncertain classification via robust optimization A Ben-Tal, S Bhadra, C Bhattacharyya, J Saketha Nath Mathematical programming 127, 145-173, 2011 | 79 | 2011 |
| Multi-view kernel completion S Bhadra, S Kaski, J Rousu Machine Learning 106 (5), 713-739, 2017 | 65 | 2017 |
| RAPID: resource of Asian primary immunodeficiency diseases S Keerthikumar, R Raju, K Kandasamy, A Hijikata, S Ramabadran, ... Nucleic acids research 37 (suppl_1), D863-D867, 2009 | 58 | 2009 |
| Large-scale sparse kernel canonical correlation analysis V Uurtio, S Bhadra, J Rousu International conference on machine learning, 6383-6391, 2019 | 46 | 2019 |
| Web information extraction using markov logic networks S Satpal, S Bhadra, S Sellamanickam, R Rastogi, P Sen Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 44 | 2011 |
| Mast cell stabilization and membrane protection activity of Barleria prionitis L. AK Maji, S Bhadra, S Mahapatra, P Banerji, D Banerjee Pharmacognosy Journal 3 (24), 67-71, 2011 | 34 | 2011 |
| Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach S Keerthikumar, S Bhadra, K Kandasamy, R Raju, YL Ramachandra, ... DNA research 16 (6), 345-351, 2009 | 33 | 2009 |
| Efficient methods for robust classification under uncertainty in kernel matrices A Ben-Tal, S Bhadra, C Bhattacharyya, A Nemirovski The Journal of Machine Learning Research 13 (10), 2923-2954, 2012 | 26 | 2012 |
| Principal metabolic flux mode analysis S Bhadra, P Blomberg, S Castillo, J Rousu Bioinformatics 34 (14), 2409-2417, 2018 | 19 | 2018 |
| Interval data classification under partial information: A chance-constraint approach S Bhadra, JS Nath, A Ben-Tal, C Bhattacharyya Pacific-Asia Conference on Knowledge Discovery and Data Mining, 208-219, 2009 | 17 | 2009 |
| Correction of noisy labels via mutual consistency check S Bhadra, M Hein Neurocomputing 160, 34-52, 2015 | 14 | 2015 |
| Sparse non-linear cca through hilbert-schmidt independence criterion V Uurtio, S Bhadra, J Rousu 2018 IEEE International Conference on Data Mining (ICDM), 1278-1283, 2018 | 12 | 2018 |
| Reducing network incompleteness through online learning: A feasibility study T LaRock, T Sakharov, S Bhadra, T Eliassi-Rad The 14th international workshop on mining and learning with graphs, 2018 | 11 | 2018 |
| Robust formulations for handling uncertainty in kernel matrices S Bhadra, S Bhattacharya, C Bhattacharyya, A Ben-Tal Proceedings of the 27th international conference on machine learning (ICML …, 2010 | 10 | 2010 |
| A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data S Bhadra, C Bhattacharyya, NR Chandra, IS Mian Algorithms for molecular biology 4, 1-15, 2009 | 9 | 2009 |
| Warping resilient time series embeddings A Mathew, S Bhadra ICML Time Series Workshop, 2019 | 8 | 2019 |
| Understanding the limitations of network online learning T LaRock, T Sakharov, S Bhadra, T Eliassi-Rad Applied Network Science 5, 1-25, 2020 | 7 | 2020 |
| Learning robust support vector machine classifiers with uncertain observations S Bhadra PhD thesis, Citeseer, 2012 | 4 | 2012 |
| CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks S Mallick, S Bhadra International Conference on Research in Computational Molecular Biology, 104-119, 2023 | 3 | 2023 |
| Deep extreme mixture model for time series forecasting S Abilasha, S Bhadra, AZ Dadarkar, P Deepak 31st ACM International Conference on Information and Knowledge Management …, 2022 | 3 | 2022 |
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
