| A framework for semi-supervised metric transfer learning on manifolds RK Sanodiya, J Mathew Knowledge-Based Systems 176, 1-14, 2019 | 39 | 2019 |
| A new transfer learning algorithm in semi-supervised setting RK Sanodiya, J Mathew, S Saha, MD Thalakottur IEEE Access 7, 42956-42967, 2019 | 31 | 2019 |
| A Kernelized Unified Framework for Domain Adaptation RK Sanodiya, J Mathew, B Paul, BA Jos IEEE Access 7 (1), 181381-181395, 2019 | 24 | 2019 |
| A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach RK Sanodiya, S Saha, J Mathew Expert Systems with Applications 125, 233-248, 2019 | 16 | 2019 |
| Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation S RAKESH,KUMAR, YAO LEEHTER IEEE ACCESS 8, 200073 - 200090, 2020 | 13 | 2020 |
| A novel unsupervised globality-locality preserving projections in transfer learning RK Sanodiya, J Mathew Image and Vision Computing 90, 103802, 2019 | 13 | 2019 |
| A particle swarm optimization-based feature selection for unsupervised transfer learning RK Sanodiya, M Tiwari, J Mathew, S Saha, S Saha Soft Computing 24, 18713-18731, 2020 | 11 | 2020 |
| Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework RK Sanodiya, J Mathew, S Saha, P Tripathi Applied Intelligence 50, 3071-3089, 2020 | 11 | 2020 |
| Unsupervised Transfer Learning via Relative Distance Comparisons S RAKESH,KUMAR, YAO LEEHTER IEEE ACCESS 8 (2169-3536), 110290-110305, 2020 | 11* | 2020 |
| Manifold embedded joint geometrical and statistical alignment for visual domain adaptation RK Sanodiya, S Mishra, PV Arun Knowledge-Based Systems 257, 109886, 2022 | 10 | 2022 |
| Kernelized unified domain adaptation on geometrical manifolds RK Sanodiya, J Mathew, R Aditya, A Jacob, B Nayanar Expert Systems with Applications 167, 114078, 2021 | 9 | 2021 |
| A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation S RAKESH,KUMAR, YAO LEEHTER Sensors 20 (16), 4367, 2020 | 9 | 2020 |
| Visual domain adaptation through locality information AK Devika, RK Sanodiya, BR Jose, J Mathew Engineering Applications of Artificial Intelligence 123, 106172, 2023 | 5 | 2023 |
| Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation RK Sanodiya, L Yao Knowledge-Based Systems 227, 107158, 2021 | 5 | 2021 |
| Frequency disentangled residual network SR Singh, RR Yedla, SR Dubey, RK Sanodiya, WT Chu Multimedia Systems 30 (1), 1-13, 2024 | 4 | 2024 |
| Statistical and geometrical alignment using metric learning in domain adaptation RK Sanodiya, A Mathew, J Mathew, M Khushi 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 4 | 2020 |
| Unsupervised sub-domain adaptation using optimal transport O Gilo, J Mathew, S Mondal, RK Sanodiya Journal of Visual Communication and Image Representation 94, 103857, 2023 | 3 | 2023 |
| Underwater object detection using synthetic data NR Nandyala, RK Sanodiya 2023 11th international symposium on electronic systems devices and …, 2023 | 3 | 2023 |
| Multi-source based approach for visual domain adaptation M Tiwari, RK Sanodiya, J Mathew, S Saha 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 3 | 2021 |
| A Feature Selection Approach to Visual Domain Adaptation in Classification JA Sanodiya R.K., Paul D., Yao L., Mathew J. International Conference on Neural Information Processing 12533, pp 77-89, 2020 | 3* | 2020 |
Dr. Sriparna SahaAssociate Professor, Department of Computer Science and Engineering, Indian Institute of TechnologyVerified email at iitp.ac.in
