| LOCAL INTERPRETABLE MODEL-AGNOSTIC EXPLANATIONS FOR MUSIC CONTENT ANALYSIS S Mishra, BL Sturm, S Dixon International Society for Music Information Retrieval (ISMIR), 2017 | 175 | 2017 |
| Clear: Generative counterfactual explanations on graphs J Ma, R Guo, S Mishra, A Zhang, J Li Advances in Neural Information Processing Systems 35, 25895-25907, 2022 | 40 | 2022 |
| Robust Counterfactual Explanations for Tree-Based Ensembles S Dutta, J Long, S Mishra, C Tilli, D Magazzeni International Conference on Machine Learning, 5742-5756, 2022 | 37 | 2022 |
| Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System B Chettri, S Mishra, BL Sturm, E Benetos 2018 IEEE Spoken Language Technology Workshop (SLT), 92-97, 2018 | 33 | 2018 |
| A Survey on the Robustness of Feature Importance and Counterfactual Explanations S Mishra, S Dutta, J Long, D Magazzeni arXiv preprint arXiv:2111.00358, 2021 | 32 | 2021 |
| A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing B Chettri, S Mishra, BL Sturm, E Benetos arXiv preprint arXiv:1805.09164, 2018 | 18 | 2018 |
| Robust counterfactual explanations for neural networks with probabilistic guarantees F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta International Conference on Machine Learning, 12351-12367, 2023 | 17 | 2023 |
| Reliable Local Explanations for Machine Listening S Mishra, E Benetos, BLT Sturm, S Dixon 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 16 | 2020 |
| Understanding a Deep Machine Listening Model Through Feature Inversion S Mishra, BL Sturm, S Dixon International Society for Music Information Retrieval (ISMIR), 2018 | 16 | 2018 |
| Global Counterfactual Explanations: Investigations, Implementations and Improvements D Ley, S Mishra, D Magazzeni arXiv preprint arXiv:2204.06917, 2022 | 13 | 2022 |
| GAN-based Generation and Automatic Selection of Explanations for Neural Networks S Mishra, D Stoller, E Benetos, BL Sturm, S Dixon arXiv preprint arXiv:1904.09533, 2019 | 10 | 2019 |
| GLOBE-CE: a translation based approach for global counterfactual explanations D Ley, S Mishra, D Magazzeni International Conference on Machine Learning, 19315-19342, 2023 | 6 | 2023 |
| “What are You Listening to?” Explaining Predictions of Deep Machine Listening Systems S Mishra, BL Sturm, S Dixon 2018 26th European Signal Processing Conference (EUSIPCO), 2260-2264, 2018 | 6 | 2018 |
| Symbolic metamodels for interpreting black-boxes using primitive functions M Abroshan, S Mishra, MM Khalili Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6649-6657, 2023 | 3 | 2023 |
| Atrial Fibrillation Stratification via Fibrillatory Wave Characterization Using the Filter Diagonalization Method S Mishra, S Rammohan, KZ Rajab, G Dhillon, P Lambiase, R Hunter, ... Computing in Cardiology, 1-4, 2019 | 3 | 2019 |
| On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations E Albini, S Sharma, S Mishra, D Dervovic, D Magazzeni Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 411-431, 2023 | 2 | 2023 |
| Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models W Tang, H Mao, D Dervovic, I Brugere, S Mishra, Y Xie, J Tang arXiv preprint arXiv:2406.01899, 2024 | | 2024 |
| Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions S Kariyappa, F Lécué, S Mishra, C Pond, D Magazzeni, M Veloso arXiv preprint arXiv:2406.02625, 2024 | | 2024 |
| Counterfactual Metarules for Local and Global Recourse T Bewley, SI Amoukou, S Mishra, D Magazzeni, M Veloso arXiv preprint arXiv:2405.18875, 2024 | | 2024 |
| Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta IEEE Journal on Selected Areas in Information Theory, 2024 | | 2024 |
Bob L. T. SturmAssociate Professor, KTH Royal Institute of Technology, Stockholm在 kth.se 的电子邮件经过验证
