Sahely Bhadra
Sahely Bhadra
Assistant Professor, Computer Science and Engineering, Indian Institute of Technology Palakkad.
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Cited by
Chance constrained uncertain classification via robust optimization
A Ben-Tal, S Bhadra, C Bhattacharyya, JS Nath
Mathematical programming 127 (1), 145-173, 2011
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
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
Multi-view kernel completion
S Bhadra, S Kaski, J Rousu
Machine Learning 106 (5), 713-739, 2017
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
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
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices.
A Ben-Tal, S Bhadra, C Bhattacharyya, A Nemirovski
Journal of Machine Learning Research 13 (10), 2012
Large-scale sparse kernel canonical correlation analysis
V Uurtio, S Bhadra, J Rousu
International Conference on Machine Learning, 6383-6391, 2019
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
Correction of noisy labels via mutual consistency check
S Bhadra, M Hein
Neurocomputing 160, 34-52, 2015
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), 1-15, 2009
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
Principal metabolic flux mode analysis
S Bhadra, P Blomberg, S Castillo, J Rousu
Bioinformatics 34 (14), 2409-2417, 2018
Robust formulations for handling uncertainty in kernel matrices
S Bhadra, S Bhattacharya, C Bhattacharyya, A Ben-Tal
ICML, 2010
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
Learning robust support vector machine classifiers with uncertain observations
S Bhadra
PhD thesis, Citeseer, 2012
Warping resilient time series embeddings
A Mathew, S Bhadra
arXiv preprint arXiv:1906.05205, 2019
Understanding the limitations of network online learning
T LaRock, T Sakharov, S Bhadra, T Eliassi-Rad
Applied Network Science 5 (1), 1-25, 2020
Multi-View Data Completion
S Bhadra
Linking and Mining Heterogeneous and Multi-view Data, 1-25, 2019
Analysis of Fluxomic Experiments with Principal Metabolic Flux Mode Analysis
S Bhadra, J Rousu
Data Mining for Systems Biology, 141-161, 2018
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