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Mélanie Ducoffe
Mélanie Ducoffe
research data scientist, Airbus
Verified email at airbus.com
Title
Cited by
Cited by
Year
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
1096*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
3712020
Adversarial active learning for deep networks: a margin based approach
M Ducoffe, F Precioso
arXiv preprint arXiv:1802.09841, 2018
2532018
Learning wasserstein embeddings
N Courty, R Flamary, M Ducoffe
arXiv preprint arXiv:1710.07457, 2017
622017
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
492016
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
472022
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
422018
Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee.
M Ducoffe, F Precioso
ESANN, 2017
31*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
302016
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
262023
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
242020
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
182019
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
142017
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
122020
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
82017
A High Probability Safety Guarantee for Shifted Neural Network Surrogates.
M Ducoffe, S Gerchinovitz, JS Gupta
SafeAI@ AAAI, 74-82, 2020
62020
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
62016
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
22023
Overestimation learning with guarantees
A Gauffriau, F Malgouyres, M Ducoffe
arXiv preprint arXiv:2101.11717, 2021
12021
Active learning and input space analysis for deep networks
M Ducoffe
COMUE Université Côte d'Azur (2015-2019), 2018
12018
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