Mélanie Ducoffe

Potential, challenges and future directions for deep learning in prognostics and health management applications

Olga Fink, Qin Wang, Markus Svensén et al. · Engineering Applications of Artificial Intelligence · 2020 · 496 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19

Adversarial Active Learning for Deep Networks: a Margin Based Approach

Mélanie Ducoffe, Fŕed́eric Precioso · arXiv (Cornell University) · 2018 · 173 citations · Full text

Artificial Intelligence, Few-shot Learning, Deep Neural Networks +13

Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis

Laurent Vanni, Mélanie Ducoffe, Carlos Aguilar et al. · 2018 · 27 citations · Full text

Engineering, Language Processing, Speech Recognition +23

Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis

Thomas Fel, Mélanie Ducoffe, David Vigouroux et al. · 2023 · 18 citations

Numerical Analysis, Convolutional Neural Network, Engineering +23

Anomaly Detection on Time Series with Wasserstein GAN applied to PHM

Mélanie Ducoffe, Ilyass Haloui, Jayant Gupta · International Journal of Prognostics and Health Management · 2023 · 16 citations · Full text

Anomaly Detection, Machine Learning, Engineering +21