| Mesonet: a compact facial video forgery detection network D Afchar, V Nozick, J Yamagishi, I Echizen 2018 IEEE international workshop on information forensics and security (WIFS …, 2018 | 1588 | 2018 |
| Explainability in Music Recommender Systems D Afchar, AB Melchiorre, M Schedl, R Hennequin, EV Epure, ... AI Magazine 43, 190-208, 2022 | 83 | 2022 |
| Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction D Afchar, R Hennequin 14th ACM Conference on Recommender Systems (RecSys '20), 2020 | 29 | 2020 |
| Towards Rigorous Interpretations: a Formalisation of Feature Attribution D Afchar, R Hennequin, V Guigue 38th International Conference on Machine Learning (ICML 2021), 2021 | 25 | 2021 |
| Of Spiky SVDs and Music Recommendation D Afchar, R Hennequin, V Guigue 17th ACM Conference on Recommender Systems (RecSys '23), 2023 | 5 | 2023 |
| Learning Unsupervised Hierarchies of Audio Concepts D Afchar, R Hennequin, V Guigue 23rd International Society for Music Information Retrieval Conference (ISMIR …, 2022 | 4 | 2022 |
| Detecting music deepfakes is easy but actually hard D Afchar, G Meseguer-Brocal, R Hennequin arXiv preprint arXiv:2405.04181, 2024 | 3 | 2024 |
| Interpretable Music Recommender Systems D Afchar Sorbonne Université, 2023 | 3 | 2023 |
| Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation EV Epure, GM Brocal, D Afchar, R Hennequin arXiv preprint arXiv:2411.05649, 2024 | | 2024 |
| Supplementary Material Towards Rigorous Interpretations: a Formalisation of Feature Attribution D Afchar, R Hennequin, V Guigue PMLR 139, 76--86, 2021 | | 2021 |
