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, J Saketha Nath
Mathematical programming 127, 145-173, 2011
Multi-view kernel completion
S Bhadra, S Kaski, J Rousu
Machine Learning 106 (5), 713-739, 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
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
Large-scale sparse kernel canonical correlation analysis
V Uurtio, S Bhadra, J Rousu
International conference on machine learning, 6383-6391, 2019
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
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
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
Principal metabolic flux mode analysis
S Bhadra, P Blomberg, S Castillo, J Rousu
Bioinformatics 34 (14), 2409-2417, 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
Correction of noisy labels via mutual consistency check
S Bhadra, M Hein
Neurocomputing 160, 34-52, 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
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
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
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
Understanding the limitations of network online learning
T LaRock, T Sakharov, S Bhadra, T Eliassi-Rad
Applied Network Science 5, 1-25, 2020
Warping resilient time series embeddings
A Mathew, S Bhadra
ICML Time Series Workshop, 2019
Learning robust support vector machine classifiers with uncertain observations
S Bhadra
PhD thesis, Citeseer, 2012
Warping resilient scalable anomaly detection in time series
S Abilasha, S Bhadra, P Deepak, A Mathew
Neurocomputing 511, 22-33, 2022
Learning primal-dual sparse kernel machines
R Huusari, S Bhadra, C Capponi, H Kadri, J Rousu
arXiv preprint arXiv:2108.12199, 2021
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