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 | 1377 | 2018 |
Explainability in Music Recommender Systems D Afchar, AB Melchiorre, M Schedl, R Hennequin, EV Epure, ... AI Magazine 43, 190-208, 2022 | 57 | 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 | 26 | 2020 |
Towards Rigorous Interpretations: a Formalisation of Feature Attribution D Afchar, R Hennequin, V Guigue 38th International Conference on Machine Learning (ICML 2021), 2021 | 20 | 2021 |
Of Spiky SVDs and Music Recommendation D Afchar, R Hennequin, V Guigue 17th ACM Conference on Recommender Systems (RecSys '23), 2023 | 4 | 2023 |
Learning Unsupervised Hierarchies of Audio Concepts D Afchar, R Hennequin, V Guigue 23rd International Society for Music Information Retrieval Conference (ISMIR …, 2022 | 3 | 2022 |
Interpretable Music Recommender Systems D Afchar Sorbonne Université, 2023 | 1 | 2023 |
Detecting music deepfakes is easy but actually hard D Afchar, G Meseguer-Brocal, R Hennequin arXiv preprint arXiv:2405.04181, 2024 | | 2024 |
Supplementary Material Towards Rigorous Interpretations: a Formalisation of Feature Attribution D Afchar, R Hennequin, V Guigue PMLR 139, 76--86, 2021 | | 2021 |