| Same same, but different: Conditional multi-task learning for demographic-specific toxicity detection S Gupta, S Lee, M De-Arteaga, M Lease Proceedings of the ACM Web Conference 2023, 3689-3700, 2023 | 23 | 2023 |
| Correlation, prediction and ranking of evaluation metrics in information retrieval S Gupta, M Kutlu, V Khetan, M Lease European Conference on Information Retrieval, 636-651, 2019 | 12 | 2019 |
| A GPU based Real-Time CUDA implementation for obtaining Visual Saliency R Agrawal, S Gupta, J Mukherjee, RK Layek Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014 | 12 | 2014 |
| A fully automated, faster noise rejection approach to increasing the analytical capability of chemical imaging for digital histopathology S Gupta, S Mittal, A Kajdacsy-Balla, R Bhargava, C Bajaj PloS one 14 (4), e0205219, 2019 | 9 | 2019 |
| Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain. Supply Chain Forum 21 (3): 139–157 S Gupta, S Modgil, A Gunasekaran, S Bag | 8 | 2020 |
| Scalable unidirectional pareto optimality for multi-task learning with constraints S Gupta, G Singh, R Bollapragada, M Lease arXiv preprint arXiv:2110.15442, 2021 | 7 | 2021 |
| Range-Net: A high precision streaming SVD for big data applications G Singh, S Gupta, M Lease, C Dawson arXiv preprint arXiv:2010.14226, 2020 | 7 | 2020 |
| A hybrid 2-stage neural optimization for pareto front extraction G Singh, S Gupta, M Lease, C Dawson arXiv preprint arXiv:2101.11684, 2021 | 6 | 2021 |
| Fairly accurate: Optimizing accuracy parity in fair target-group detection S Gupta, V Kovatchev, M De-Arteaga, M Lease arXiv preprint arXiv:2407.11933, 2024 | 5 | 2024 |
| Role of technological dimensions of green supply chain management practices on firm performance. J Enterp Inf Manag 34 (1): 1–27 S Bag, S Gupta, S Kumar, U Sivarajah | 5 | 2020 |
| Higher Order Mutual Information Approximation for Feature Selection J Wu, S Gupta, C Bajaj arXiv preprint arXiv:1612.00554, 2016 | 5 | 2016 |
| DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis A Roy, A Sen, S Gupta, S Haldar, S Deb, TN Vankala, A Das arXiv preprint arXiv:2501.11168, 2025 | 4 | 2025 |
| Learning a neural Pareto manifold extractor with constraints S Gupta, G Singh, R Bollapragada, M Lease Uncertainty in Artificial Intelligence, 749-758, 2022 | 4 | 2022 |
| Fairly accurate: Learning optimal accuracy vs. fairness tradeoffs for hate speech detection V Kovatchev, S Gupta, A Das, M Lease arXiv preprint arXiv:2204.07661, 2022 | 3 | 2022 |
| HOFS: Higher order mutual information approximation for feature selection in R K Gajowniczek, J Wu, S Gupta, C Bajaj SoftwareX 19, 101148, 2022 | 2 | 2022 |
| SCA-Net: A self-correcting two-layer autoencoder for hyper-spectral unmixing G Singh, S Gupta, C Dawson arXiv preprint arXiv:2102.05713, 2021 | 2 | 2021 |
| Streaming singular value decomposition for big data applications G Singh, S Gupta, M Lease, C Dawson arXiv preprint arXiv:2010.14226, 2020 | 2 | 2020 |
| TIME: A transparent, interpretable, model-adaptive and explainable neural network for dynamic physical processes G Singh, S Gupta, M Lease, CN Dawson arXiv preprint arXiv:2003.02426, 2020 | 2 | 2020 |
| Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval S Gupta, G Singh, A Das, M Lease Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 1 | 2021 |
| A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction S Gupta, C Bajaj 2019 IEEE International Conference on Big Data (Big Data), 74-83, 2019 | 1 | 2019 |
