| Reverse-nearest neighborhood based oversampling for imbalanced, multi-label datasets P Sadhukhan, S Palit Pattern Recognition Letters 125, 813-820, 2019 | 35 | 2019 |
| Adaptive Learning of Minority Class prior to Minority Oversampling P Sadhukhan, S Palit Pattern Recognition Letters, 2020 | 10 | 2020 |
| Learning Minority Class prior to Minority Oversampling P Sadhukhan International Joint Conference on Neural Networks, 1-8, 2019 | 10 | 2019 |
| Can Reverse Nearest Neighbors perceive unknowns? P Sadhukhan IEEE Access, 2020 | 6 | 2020 |
| Multi-label Learning on principles of Reverse k-Nearest Neighbourhood P Sadhukhan, S Palit Expert Systems, 2020 | 5 | 2020 |
| Lattice and Imbalance Informed Multi-label Learning P Sadhukhan, S Palit IEEE Access, 2019 | 4 | 2019 |
| Approximate DBSCAN on obfuscated data P Sadhukhan, L Halder, S Palit Journal of Information Security and Applications 80, 2024 | 3 | 2024 |
| Fast Autonomous Crater Detection by Image Analysis–For Unmanned Landing on Unknown Terrain P Sadhukhan, S Palit Image and Signal Processing: 7th International Conference, ICISP 2016, Trois …, 2016 | 3 | 2016 |
| Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data P Sadhukhan, A Pakrashi, S Palit, B Mac Namee ICAART, 2023 | 2 | 2023 |
| Multi-label learning through minimum spanning tree-based subset selection and feature extraction P Sadhukhan, CA Murthy Advances in Artificial Intelligence: 30th Canadian Conference on Artificial …, 2017 | 2 | 2017 |
| Deploying model obfuscation: towards the privacy of decision-making models on shared platforms P Sadhukhan, T Chakraborty, K Sengupta AMCIS, 2024 | 1 | 2024 |
| Explainable AI using the Wasserstein Distance SS Chaudhury, P Sadhukhan, K Sengupta IEEE Access, 2024 | 1 | 2024 |
| Oversampling the minority class using a dedicated fitness function and genetic algorithmic progression P Sadhukhan, S Palit Concurrency and Computation: Practice and Experience, e6648, 2021 | 1 | 2021 |
| ML-NCA: Multi-label Neighbourhood Component Analysis A Pakrashi, P Sadhukhan, B Mac Namee Third International Workshop on Learning with Imbalanced Domains: Theory and …, 2021 | 1 | 2021 |
| Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation P Sadhukhan, T Chakraborty arXiv preprint arXiv:2407.02268, 2024 | | 2024 |
| Can class imbalance clout the resilience of health predictors? A Saha, P Sadhukhan Asia & Pacific Bioinformatics Joint Conference, 2024 | | 2024 |
| Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data P Sadhukhan, S Palit Advances in Data Analysis and Classification, 1-22, 2024 | | 2024 |
| Parameter-free undersampling for multi-label data S Palit, P Sadhukhan ICAART, 397-406, 2024 | | 2024 |
| A Hilbert-Curve based Encoding scheme for Privacy-preserving Nearest-Neighbor Classification P Sadhukhan, L Halder, S Palit International Conference on Neural Information Processing (ICONIP), 2024 | | 2024 |
| Knowing the class distinguishing abilities of the features, to build better decision-making models P Sadhukhan, K Sengupta, S Palit, T Chakraborty AMCIS, 2024 | | 2024 |
Sarbani PalitAssociate Professor, Computer Vision & Pattern Recognition Unit, Indian Statistical Institute, IndiaVerified email at isical.ac.in
