Dr. Rakesh Kumar Sanodiya

Journal articles:

• R. K. Sanodiya, S. Saha, and J. Mathew (2019): A Kernel Semi-Supervised Distance Metric Learning with Relative Distance: Integration with a MOO Approach, In Expert Systems with Applications (Impact Factor: 5.45, ISSN No.: 0957-4174).  DOI: https://doi.org/10.1016/j.eswa.2018.12.051
• R. K. Sanodiya and J. Mathew (2019): A framework for semi-supervised metric transfer learning on Manifolds, In Knowledge Based System (Impact Factor: 5.92, ISSN No.: 0950-7051). DOI: https://doi.org/10.1016/j.knosys.2019.03.021
• R. K. Sanodiya, J. Mathew, S. Saha, and M. D. Thalakottur (2019): A New Transfer Learning Algorithm in Semi-supervised Setting, In IEEE Access Journal (Impact Factor: 3.75, ISSN No.: 2169-3536). DOI: 10.1109/ACCESS.2019.2907571
• R. K. Sanodiya, S. Saha, and J. Mathew (2019): Semi-supervised orthogonal discriminant analysis with relative distance: Integration with a MOO approach, Soft Computing (Impact Factor: 3.10, ISSN No.: 1433-7479). DOI: https://doi.org/10.1007/s00500-019-03990-9
• R. K. Sanodiya and J. Mathew (2019): A Novel Unsupervised Globality-Locality Preserving Projections in Transfer Learning, In Image and Vision Computing (Impact Factor: 3.1, ISSN No.: 0950-7051). DOI: https://doi.org/10.1016/j.imavis.2019.08.006
• R. K. Sanodiya, J. Mathew, B. Paul, and B. A. Jose (2019): A Kernelized Unified Framework for Domain Adaptation, In IEEE Access Journal (Impact Factor: 3.75, ISSN No.: 2169-3536) DOI:10.1109/ACCESS.2019.2958736
• R. K. Sanodiya, J. Mathew, S. Saha, and P. Tripathy (2020): A Particle Swarm Optimization based Parameter Selection to Unsupervised Discriminant Analysis in Transfer Learning, In Applied Intelligence (Impact Factor: 3.32, ISSN No.: 1573-7497). DOI: https://doi.org/10.1007/s10489-020-01710-7
• R. K. Sanodiya, M. Tiwari, J. Mathew, S. Saha, and S. Saha (2020): A Particle Swarm Optimization based Feature Selection for Unsupervised Transfer Learning, In Soft Computing (Impact Factor: 3.05, ISSN NO.:1433-7479). DOI: https:// 10.1007/s00500-020-05105-1
• R. K. Sanodiya and L. Yao (2020): Unsupervised Transfer Learning via Relative Distance Comparisons, In IEEE Access Journal (Impact Factor: 3.75, ISSN No.: 2169-3536). DOI: https://doi.org/10.1109/ACCESS.2020.3002666
• R. K. Sanodiya and L. Yao (2020): A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation, In Sensors Journal (Impact Factor: 3.27, ISSN No: 1424-8220) DOI: https://doi.org/10.3390/s20164367
• R. K. Sanodiya J. Mathew, R. Aditya, A. Jocab, and B. Nayanar (2020): Kernelized unified domain adaptation on Geometrical Manifold, In Expert Systems with Applications (Impact Factor: 5.45, ISSN No.: 0957-4174) DOI: https://doi.org/10.1016/j.eswa.2020.114078
• R. K. Sanodiya and L. Yao (2020): Linear Discriminant Analysis via Pseudo Labels: A unified framework for visual domain adaptation, In IEEE Access Journal (Impact Factor: 3.75, ISSN No.: 2169-3536)DOI: https://doi.org/10.1109/ACCESS.2020.3035422

International Conference Proceeding:

• R. K. Sanodiya, S. Saha, and J. Mathew (2018): A Multi-Kernel Semi-Supervised Metric Learning using Multi-objective Optimization Approach, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP 2018) (Core ranking: A).
• R. K. Sanodiya, S. Saha, J. Mathew, and P. Bangwal (2018): Semi-Supervised Transfer Metric Learning with Relative Constraints, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP 2018) (Core ranking: A).
• R. K. Sanodiya, S. Saha, J. Mathew, and A. Raj (2018): Supervised and Semi-Supervised Multi-Task Binary Classification, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP 2018) (Core ranking: A).
• R. K. Sanodiya, S. Saha, J. Mathew, M. D. Thalakottur, and U. Aadya (2019): "Multi-objective Approach for Semi-Supervised Discriminant Analysis with Relative Distance, In the proceedings of IEEE Congress on Evolutionary Computation (CEC-2019) (h-Index: 66).
• R. K. Sanodiya, C. Sharma, and J. Mathew (2019): Unified Framework for Visual Domain Adaptation Using Globality-Locality Preserving Projections, In the proceedings of 26th International Conference on Neural Information Processing (ICONIP 2019) (Core ranking: A).
• R. K. Sanodiya, J. Mathew, M. D. Thalakottur, and M. Khushi (2019): Semi-supervised Regularized Coplanar Discriminant Analysis, In the proceedings of 26th International Conference on Neural Information Processing (ICONIP 2019) (Core ranking: A).
• R. K. Sanodiya, A. Mathew, J. Mathew, and M. Khushi (2020): Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation, In International Joint Conference on Neural Networks (IJCNN-2020) (Accepted) (Core ranking: A).
• R. K. Sanodiya, P. Kumar, M. Tiwari, L. Yao, and J. Mathew (2020): A Modified Joint Geometrical and Statistical alignment approach for Low-Resolution Face Recognition, In the proceedings of 27th International Conference on Neural Information Processing (ICONIP 2020) (Core ranking: A).
• R. K. Sanodiya, D. Paul, L. Yao, J. Mathew, and A. Juhi (2020): A Feature Selection Approach to Visual Domain Adaptation in Classification, In the proceedings of 27th International Conference on Neural Information Processing (ICONIP 2020) (Core ranking: A).
• R. K. Sanodiya, M. Tiwari, L. Yao, and J. Mathew (2020): A Particle Swarm Optimization based Joint Geometrical and Statistical Alignment approach with Laplacian regularization, In the proceedings of 27th International Conference on Neural Information Processing (ICONIP 2020) (Core ranking: A).