Interval Data Classification under Partial Information: A Chance-Constraint Approach. - Sahely Bhadra; J. Saketha Nath; Aharon Ben-Tal; Chiranjib Bhattacharyya (PAKDD, 2009)

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data. - Sahely Bhadra; Chiranjib Bhattacharyya; Nagasuma R. Chandra; I. Saira Mian (Algorithms Mol. Biol., 2009)

RAPID: Resource of Asian Primary Immunodeficiency Diseases. - 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; et al. (Nucleic Acids Res., 2009)

Robust Formulations for Handling Uncertainty in Kernel Matrices. - Sahely Bhadra; Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Aharon Ben-Tal (ICML, 2010)

Web information extraction using Markov logic networks. - Sandeepkumar Satpal; Sahely Bhadra; Sundararajan Sellamanickam; Rajeev Rastogi; Prithviraj Sen (WWW (Companion Volume), 2011)

Chance constrained uncertain classification via robust optimization. - Aharon Ben-Tal; Sahely Bhadra; Chiranjib Bhattacharyya; J. Saketha Nath (Math. Program., 2011)

Efficient methods for robust classification under uncertainty in kernel matrices. - Aharon Ben-Tal; Sahely Bhadra; Chiranjib Bhattacharyya; Arkadi Nemirovski (J. Mach. Learn. Res., 2012)

Correction of noisy labels via mutual consistency check. - Sahely Bhadra; Matthias Hein 001 (Neurocomputing, 2015)

Multi-view kernel completion. - Sahely Bhadra; Samuel Kaski; Juho Rousu (Mach. Learn., 2017)

Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion. - Viivi Uurtio; Sahely Bhadra; Juho Rousu (ICDM, 2018)

Principal metabolic flux mode analysis. - Sahely Bhadra; Peter Blomberg; Sandra Castillo; Juho Rousu (Bioinform., 2018)

Large-Scale Sparse Kernel Canonical Correlation Analysis. - Viivi Uurtio; Sahely Bhadra; Juho Rousu (ICML, 2019)

Warping Resilient Time Series Embeddings. - Anish Mathew; Deepak P 001; Sahely Bhadra (CoRR, 2019)

Understanding the limitations of network online learning. - Timothy LaRock; Timothy Sakharov; Sahely Bhadra; Tina Eliassi-Rad (Appl. Netw. Sci., 2020)

Learning primal-dual sparse kernel machines. - Riikka Huusari; Sahely Bhadra; Cécile Capponi; Hachem Kadri; Juho Rousu (CoRR, 2021)

Deep Extreme Mixture Model for Time Series Forecasting. - Abilasha S; Sahely Bhadra; Ahmed Zaheer Dadarkar; Deepak P 001 (CIKM, 2022)

Warping resilient scalable anomaly detection in time series. - S. Abilasha; Sahely Bhadra; Deepak P 001; Anish Mathew (Neurocomputing, 2022)

CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks. - Shikha Mallick; Sahely Bhadra (RECOMB, 2023)

Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. - Anoop Kadan; Deepak P 001; Sahely Bhadra; Manjary P. Gangan; Lajish V. L (CoRR, 2023)

Understanding latent affective bias in large pre-trained neural language models. - Anoop Kadan; Deepak P 001; Sahely Bhadra; Manjary P. Gangan; Lajish V. L. (Nat. Lang. Process. J., 2024)

Warping resilient robust anomaly detection for multivariate time series. - S. Abilasha; Sahely Bhadra (Mach. Learn., 2025)

News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News. - Sujit Mandava; Deepak P 001; Sahely Bhadra (CoRR, 2025)

Geo-political bias in fake news detection AI: the case of affect. - Deepak P 001; Sahely Bhadra; Anna Jurek-Loughrey; G. Santhosh Kumar; M. Satish Kumar (AI Ethics, 2025)