| Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method E Sivasankar, C Selvi, S Mahalakshmi Soft Computing 24 (6), 3975-3988, 2020 | 33 | 2020 |
| Cross domain sentiment analysis using different machine learning techniques S Mahalakshmi, E Sivasankar Proceedings of the Fifth International Conference on Fuzzy and Neuro …, 2015 | 18 | 2015 |
| Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel M Sabanayagam, P Esser, D Ghoshdastidar Transactions on Machine Learning Research 2023, 2022 | 10* | 2022 |
| New insights into graph convolutional networks using neural tangent kernels M Sabanayagam, P Esser, D Ghoshdastidar arXiv preprint arXiv:2110.04060, 2021 | 10 | 2021 |
| Graphon based Clustering and Testing of Networks: Algorithms and Theory M Sabanayagam, LC Vankadara, D Ghoshdastidar Tenth International Conference on Learning Representations (ICLR, 2022), 2022 | 8 | 2022 |
| Unveiling the Hessian's connection to the decision boundary M Sabanayagam, F Behrens, U Adomaityte, A Dawid arXiv preprint arXiv:2306.07104, 2023 | 6 | 2023 |
| Improved Representation Learning Through Tensorized Autoencoders PM Esser, S Mukherjee, M Sabanayagam, D Ghoshdastidar The 26th International Conference on Artificial Intelligence and Statistics …, 2022 | 2 | 2022 |
| Analysis of Graph Convolutional Networks using Neural Tangent Kernels M Sabanayagam, P Esser, D Ghoshdastidar INTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, 2022 | 2 | 2022 |
| Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections A Singh, M Sabanayagam, K Muandet, D Ghoshdastidar Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks L Gosch, M Sabanayagam, D Ghoshdastidar, S Günnemann arXiv preprint arXiv:2407.10867, 2024 | 1 | 2024 |
| Machine learning-based image detection for lensless microscopy in life science J Brunckhorst, A Pirchner, NR Naik, M Sabanayagam, MDK Paul-Yuan, ... | 1 | 2019 |
| Cluster Specific Representation Learning M Sabanayagam, O Al-Dabooni, P Esser arXiv preprint arXiv:2412.03471, 2024 | | 2024 |
| Exact Certification of (Graph) Neural Networks Against Label Poisoning M Sabanayagam, L Gosch, S Günnemann, D Ghoshdastidar arXiv preprint arXiv:2412.00537, 2024 | | 2024 |
| Kernels, data & physics F Cagnetta, D Oliveira, M Sabanayagam, N Tsilivis, J Kempe Journal of Statistical Mechanics: Theory and Experiment 2024 (10), 104013, 2024 | | 2024 |
| Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoors L Gosch, M Sabanayagam, D Ghoshdastidar, S Günnemann | | |
Debarghya GhoshdastidarTechnical University of Munichایمیل تأیید شده در cit.tum.de