Mélanie Ducoffe
Mélanie Ducoffe
phd student, université Nice Côte d'Azur
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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
809*2016
Adversarial active learning for deep networks: a margin based approach
M Ducoffe, F Precioso
arXiv preprint arXiv:1802.09841, 2018
772018
Potential, challenges and future directions for deep learning in prognostics and health management applications
O Fink, Q Wang, M Svensén, P Dersin, WJ Lee, M Ducoffe
Engineering Applications of Artificial Intelligence 92, 103678, 2020
392020
Learning wasserstein embeddings
N Courty, R Flamary, M Ducoffe
arXiv preprint arXiv:1710.07457, 2017
292017
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
272016
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
262018
Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee.
M Ducoffe, F Precioso
ESANN, 2017
20*2017
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
112017
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
62017
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
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
32020
A High Probability Safety Guarantee for Shifted Neural Network Surrogates.
M Ducoffe, S Gerchinovitz, JS Gupta
SafeAI@ AAAI, 74-82, 2020
22020
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
22019
Time series to images: Monitoring the condition of industrial assets with deep learning image processing algorithms
G Rodriguez Garcia, G Michau, M Ducoffe, JS Gupta, O Fink
arXiv e-prints, arXiv: 2005.07031, 2020
12020
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 …, 2021
2021
Overestimation learning with guarantees
A Gauffriau, F Malgouyres, M Ducoffe
arXiv preprint arXiv:2101.11717, 2021
2021
Active learning and input space analysis for deep networks
M Ducoffe
Université Côte d'Azur, 2018
2018
Introducing Active Learning for CNN under the light of Variational Inference
M Ducoffe, F Precioso
2016
QBDC: QUERY BY DROPOUT COMMITTEE FOR TRAINING DEEP
M Ducoffe, F Precioso
arXiv preprint arXiv:1511.06412, 2015
2015
INTRODUCING ACTIVE LEARNING FOR CNN UNDER
M Ducoffe, F Precioso
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Articles 1–20