Subhabrata Majumdar
Subhabrata Majumdar
Head of AI, Vijil | President, AI Risk and Vulnerability Alliance
Verified email at - Homepage
Cited by
Cited by
Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning
E Potash, J Brew, A Loewi, S Majumdar, A Reece, J Walsh, E Rozier, ...
21st ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2015
Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates
BA Han, S Majumdar, FP Calmon, BS Glicksberg, R Horesh, A Kumar, ...
Epidemics 27, 59-65, 2019
Beware of external validation!-A Comparative Study of Several Validation Techniques used in QSAR Modelling
S Majumdar, SC Basak
Current computer-aided drug design 14 (4), 284-291, 2018
Ultrahigh-dimensional Robust and Efficient Sparse Regression using Non-Concave Penalized Density Power Divergence
A Ghosh, S Majumdar
IEEE Transactions on Information Theory 66 (12), 7812-7827, 2020
Computer-assisted and data driven approaches for surveillance, drug discovery, and vaccine design for the Zika virus
SC Basak, S Majumdar, A Nandy, P Roy, T Dutta, M Vracko, ...
Pharmaceuticals 12 (4), 157, 2019
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity
VAE Farias, FT Brito, C Flynn, JC Machado, S Majumdar, D Srivastava
Proceedings of the VLDB Endowment 14 (4), 521-533, 2020
Editorial: Beware of Naďve q2, use True q2: Some Comments on QSAR Model Building and Cross Validation
S Majumdar, SC Basak
Current Computer-Aided Drug Design 14 (1), 5-6, 2018
Exploring intrinsic dimensionality of chemical spaces for robust QSAR model development: A comparison of several statistical approaches
S Majumdar, S C Basak
Current computer-aided drug design 12 (4), 294-301, 2016
Measuring Reliability of Large Language Models through Semantic Consistency
H Raj, D Rosati, S Majumdar
NeurIPS ML Safety Workshop, NeurIPS 2022, 2022
Finding Needles in a Haystack: Determining Key Molecular Descriptors Associated with the Blood‐brain Barrier Entry of Chemical Compounds Using Machine Learning
S Majumdar, SC Basak, CN Lungu, MV Diudea, GD Grunwald
Molecular informatics 38 (8-9), 1800164, 2019
Mathematical structural descriptors and mutagenicity assessment: a study with congeneric and diverse datasets
S Majumdar, SC Basak, CN Lungu, MV Diudea, GD Grunwald
SAR and QSAR in Environmental Research 29 (8), 579-590, 2018
Intrinsic sliced wasserstein distances for comparing collections of probability distributions on manifolds and graphs
RM Rustamov, S Majumdar
International Conference on Machine Learning, 2023
Adapting interrelated two-way clustering method for quantitative structure-activity relationship (QSAR) modeling of mutagenicity/non-mutagenicity of a diverse set of chemicals
S Majumdar, S C Basak, G D Grunwald
Current computer-aided drug design 9 (4), 463-471, 2013
Editorial: The Importance of Rigorous Statistical Practice in the Current Landscape of QSAR Modelling
S C Basak, S Majumdar
Current computer-aided drug design 11 (1), 2-4, 2015
Prediction of Mutagenicity of Chemicals from Their Calculated Molecular Descriptors: A Case Study with Structurally Homogeneous versus Diverse Datasets
SC Basak, S Majumdar
Current computer-aided drug design 11 (2), 117-123, 2015
Fairness, Explainability, Privacy, and Robustness for Trustworthy Algorithmic Decision Making
S Majumdar
Big Data Analytics in Chemoinformatics and Bioinformatics, 61-95, 2023
A Generic Computer-Assisted Four-Pronged Approach for the Management of Emerging Global Pathogens: Some Comments on COVID-19
SC Basak, S Majumdar, M Vracko, A Nandy, A Bhattacharjee
Current computer-aided drug design 16 (4), 351-353, 2020
Joint estimation and inference for data integration problems based on multiple multi-layered gaussian graphical models
S Majumdar, G Michailidis
Journal of Machine Learning Research 23, 1-53, 2022
Current landscape of hierarchical QSAR modeling and its applications: Some comments on the importance of mathematical descriptors as well as rigorous statistical methods of …
SC Basak, S Majumdar
Advances in mathematical chemistry and applications, 251-281, 2015
Automated, user-driven, and personalized curation of short-form media segments
S Majumdar, D Paul, E Zavesky
US Patent App. 16/944,081, 2022
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