| 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 | 61 | 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 | 34 | 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 | 29 | 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 | 19 | 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 | 16 | 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 | 14 | 2020 |
| Editorial: Beware of Naïve 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 | 13 | 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 | 13 | 2016 |
| Measuring Reliability of Large Language Models through Semantic Consistency H Raj, D Rosati, S Majumdar NeurIPS ML Safety Workshop, NeurIPS 2022, 2022 | 12 | 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 | 12 | 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 | 12 | 2018 |
| 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 | 11 | 2013 |
| Intrinsic sliced wasserstein distances for comparing collections of probability distributions on manifolds and graphs RM Rustamov, S Majumdar International Conference on Machine Learning, 2023 | 10 | 2023 |
| 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 | 10 | 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 | 9 | 2015 |
| 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 | 7 | 2020 |
| 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 | 6 | 2015 |
| Fairness, Explainability, Privacy, and Robustness for Trustworthy Algorithmic Decision Making S Majumdar Big Data Analytics in Chemoinformatics and Bioinformatics, 61-95, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| Non-convex penalized multitask regression using data depth-based penalties S Majumdar, S Chatterjee Stat 7, e174, 2018 | 4 | 2018 |
Subhash BasakUniversity of Minnesota DuluthVerified email at d.umn.edu
