| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 1133* | 2016 |
| Potential, challenges and future directions for deep learning in prognostics and health management applications O Fink, Q Wang, M Svensen, P Dersin, WJ Lee, M Ducoffe Engineering Applications of Artificial Intelligence 92, 103678, 2020 | 488 | 2020 |
| Adversarial active learning for deep networks: a margin based approach M Ducoffe, F Precioso arXiv preprint arXiv:1802.09841, 2018 | 303 | 2018 |
| Learning wasserstein embeddings N Courty, R Flamary, M Ducoffe arXiv preprint arXiv:1710.07457, 2017 | 68 | 2017 |
| Textual deconvolution saliency (TDS): a deep tool box for linguistic analysis L Vanni, M Ducoffe, C Aguilar, F Precioso, D Mayaffre Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 55 | 2018 |
| Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms GR Garcia, G Michau, M Ducoffe, JS Gupta, O Fink proceedings of the institution of mechanical engineers, part O: journal of …, 2022 | 54 | 2022 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 51 | 2016 |
| Don't lie to me! robust and efficient explainability with verified perturbation analysis T Fel, M Ducoffe, D Vigouroux, R Cadène, M Capelle, C Nicodème, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 37 | 2023 |
| Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee. M Ducoffe, F Precioso ESANN, 2017 | 35* | 2017 |
| Harm de Vries, David Warde-Farley, Dustin J R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016 | 31 | 2016 |
| Time series to images: Monitoring the condition of industrial assets with deep learning image processing algorithms GR Garcia, G Michau, M Ducoffe, JS Gupta, O Fink arXiv preprint arXiv:2005.07031, 2020 | 28 | 2020 |
| Anomaly detection on time series with Wasserstein GAN applied to PHM M Ducoffe, I Haloui, JS Gupta International Journal of Prognostics and Health Management 10 (4), 2019 | 21 | 2019 |
| Les mots des candidats, de «allons» à «vertu» D Mayaffre, C Bouzereau, M Ducoffe, M Guaresi, F Precioso, L Vanni Le vote disruptif. Les élections présidentielle et législatives de 2017, 129-152, 2017 | 16 | 2017 |
| LARD--Landing Approach Runway Detection--Dataset for Vision Based Landing M Ducoffe, M Carrere, L Féliers, A Gauffriau, V Mussot, C Pagetti, ... arXiv preprint arXiv:2304.09938, 2023 | 13 | 2023 |
| Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization C Bouttier, T Cesari, M Ducoffe, S Gerchinovitz arXiv preprint arXiv:2002.02390, 2020 | 12 | 2020 |
| Spatial and rotation invariant 3D gesture recognition based on sparse representation F Argelaguet, M Ducoffe, A Lécuyer, R Gribonval 2017 IEEE Symposium on 3D User Interfaces (3DUI), 158-167, 2017 | 12 | 2017 |
| A High Probability Safety Guarantee for Shifted Neural Network Surrogates. M Ducoffe, S Gerchinovitz, JS Gupta SafeAI@ AAAI, 74-82, 2020 | 11 | 2020 |
| Machine Learning under the light of Phraseology expertise: use case of presidential speeches, De Gaulle-Hollande (1958-2016) M Ducoffe, D Mayaffre, F Precioso, F Lavigne, L Vanni, A Tre-Hardy JADT 2016-Statistical Analysis of Textual Data 1, 157-168, 2016 | 7 | 2016 |
| Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing Y Elboher, R Elsaleh, O Isac, M Ducoffe, A Galametz, G Povéda, ... arXiv preprint arXiv:2402.00035, 2024 | 3 | 2024 |
| Overestimation learning with guarantees A Gauffriau, F Malgouyres, M Ducoffe arXiv preprint arXiv:2101.11717, 2021 | 3 | 2021 |
