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2020 – today
- 2024
[j10]Anoop Kadan
, Deepak P, Sahely Bhadra, Manjary P. Gangan, Lajish V. L.:
Understanding latent affective bias in large pre-trained neural language models. Nat. Lang. Process. J. 7: 100062 (2024)- 2023
- [c8]Shikha Mallick, Sahely Bhadra:
CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks. RECOMB 2023: 104-119 - [i5]Anoop Kadan, Deepak P, Sahely Bhadra, Manjary P. Gangan, Lajish V. L:
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. CoRR abs/2301.09003 (2023) - 2022
- [j9]S. Abilasha, Sahely Bhadra, Deepak P, Anish Mathew:
Warping resilient scalable anomaly detection in time series. Neurocomputing 511: 22-33 (2022) - [c7]Abilasha S, Sahely Bhadra, Ahmed Zaheer Dadarkar, Deepak P:
Deep Extreme Mixture Model for Time Series Forecasting. CIKM 2022: 1726-1735 - 2021
- [i4]Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu:
Learning primal-dual sparse kernel machines. CoRR abs/2108.12199 (2021) - 2020
- [j8]Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the limitations of network online learning. Appl. Netw. Sci. 5(1): 60 (2020) - [i3]Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the Limitations of Network Online Learning. CoRR abs/2001.07607 (2020)
2010 – 2019
- 2019
- [c6]Viivi Uurtio, Sahely Bhadra, Juho Rousu:
Large-Scale Sparse Kernel Canonical Correlation Analysis. ICML 2019: 6383-6391 - [i2]Anish Mathew, Deepak P, Sahely Bhadra:
Warping Resilient Time Series Embeddings. CoRR abs/1906.05205 (2019) - 2018
- [j7]Sahely Bhadra, Peter Blomberg, Sandra Castillo, Juho Rousu:
Principal metabolic flux mode analysis. Bioinform. 34(14): 2409-2417 (2018) - [c5]Viivi Uurtio, Sahely Bhadra, Juho Rousu:
Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion. ICDM 2018: 1278-1283 - 2017
- [j6]Sahely Bhadra, Samuel Kaski, Juho Rousu:
Multi-view kernel completion. Mach. Learn. 106(5): 713-739 (2017) - 2016
- [i1]Sahely Bhadra, Samuel Kaski, Juho Rousu:
Multi-view Kernel Completion. CoRR abs/1602.02518 (2016) - 2015
- [j5]Sahely Bhadra, Matthias Hein:
Correction of noisy labels via mutual consistency check. Neurocomputing 160: 34-52 (2015) - 2012
- [j4]Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski:
Efficient methods for robust classification under uncertainty in kernel matrices. J. Mach. Learn. Res. 13: 2923-2954 (2012) - 2011
- [j3]Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, J. Saketha Nath:
Chance constrained uncertain classification via robust optimization. Math. Program. 127(1): 145-173 (2011) - [c4]Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen:
Web information extraction using markov logic networks. KDD 2011: 1406-1414 - [c3]Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen:
Web information extraction using Markov logic networks. WWW (Companion Volume) 2011: 115-116 - 2010
- [c2]Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML 2010: 71-78
2000 – 2009
- 2009
- [j2]Sahely Bhadra, Chiranjib Bhattacharyya, Nagasuma R. Chandra, I. Saira Mian:
A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data. Algorithms Mol. Biol. 4 (2009) - [j1]Shivakumar Keerthikumar, Rajesh Raju, Kumaran Kandasamy, Atsushi Hijikata, Subhashri Ramabadran, Lavanya Balakrishnan, Mukhtar Ahmed, Sandhya Rani, Lakshmi Dhevi N. Selvan, Devi S. Somanathan, Somak Ray, Mitali Bhattacharjee, Sashikanth Gollapudi, Y. L. Ramachandra, Sahely Bhadra, Chiranjib Bhattacharyya, Kohsuke Imai, Shigeaki Nonoyama, Hirokazu Kanegane, Toshio Miyawaki, Akhilesh Pandey, Osamu Ohara, S. Sujatha Mohan:
RAPID: Resource of Asian Primary Immunodeficiency Diseases. Nucleic Acids Res. 37(Database-Issue): 863-867 (2009) - [c1]Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya:
Interval Data Classification under Partial Information: A Chance-Constraint Approach. PAKDD 2009: 208-219
Coauthor Index
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