Evaluation of Explanation Methods of AI--CNNs in Image Classification Tasks with Reference-based and No-reference Metrics A Zhukov, J Benois-Pineau, R Giot arXiv preprint arXiv:2212.01222, 2022 | 5 | 2022 |
A hybrid system for defect detection on rail lines through the fusion of object and context information A Zhukov, A Rivero, J Benois-Pineau, A Zemmari, M Mosbah Sensors 24 (4), 1171, 2024 | 3 | 2024 |
FEM and Multi-Layered FEM: Feature Explanation Methods with Statistical Filtering of Important Features A Zhukov, J Benois-Pineau, R Giot, R Bourqui, L Bourroux Emerging Topics in Pattern Recognition and Artificial Intelligence, 295-327, 2025 | | 2025 |
Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods H Yu, J Benois-Pineau, R Bourqui, R Giot, A Zhukov arXiv preprint arXiv:2407.20427, 2024 | | 2024 |
On the stability, correctness and plausibility of visual explanation methods based on feature importance R Xu-Darme, J Benois-Pineau, R Giot, G Quénot, Z Chihani, MC Rousset, ... Proceedings of the 20th International Conference on Content-based Multimedia …, 2023 | | 2023 |
Reference-based and No-reference Metrics to Evaluate Explanation Methods of AI-CNNs in Image Classification Tasks A Zhukov, J Benois-Pineau, R Giot CoRR, 2022 | | 2022 |