| Deep learning for time series classification: a review H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller Data Mining and Knowledge Discovery 33 (4), 917–963, 2019 | 2674 | 2019 |
| InceptionTime: Finding Alexnet for time series classification H Ismail Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery, 1-27, 2020 | 841 | 2020 |
| Transfer learning for time series classification H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2018 IEEE International Conference on Big Data (Big Data), 1367-1376, 2018 | 287 | 2018 |
| Data augmentation using synthetic data for time series classification with deep residual networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller arXiv preprint arXiv:1808.02455, 2018 | 179 | 2018 |
| Adversarial attacks on deep neural networks for time series classification HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 138 | 2019 |
| Evaluating surgical skills from kinematic data using convolutional neural networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 119 | 2018 |
| Deep neural network ensembles for time series classification H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 103 | 2019 |
| Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller International Journal of Computer Assisted Radiology and Surgery, 1-7, 2019 | 90 | 2019 |
| Surgical motion analysis using discriminative interpretable patterns G Forestier, F Petitjean, P Senin, F Despinoy, A Huaulmé, H Ismail Fawaz, ... Artificial Intelligence in Medicine 91, 3-11, 2018 | 56 | 2018 |
| Knowledge-driven Biometric Authentication in Virtual Reality F Mathis, H Ismail Fawaz, M Khamis Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 54 | 2020 |
| Neural Architecture Search for Time Series Classification H Rakhshani, H Ismail Fawaz, L Idoumghar, G Forestier, J Lepagnot, ... | 18* | |
| Deep learning for time series classification H Ismail Fawaz arXiv preprint arXiv:2010.00567, 2020 | 12 | 2020 |
| Smooth perturbations for time series adversarial attacks G Pialla, HI Fawaz, M Devanne, J Weber, L Idoumghar, PA Muller, ... Pacific-Asia Conference on Knowledge Discovery and Data Mining, 485-496, 2022 | 10 | 2022 |
| Automatic alignment of surgical videos using kinematic data H Ismail Fawaz, G Forestier, J Weber, F Petitjean, L Idoumghar, PA Muller Conference on Artificial Intelligence in Medicine in Europe, 104-113, 2019 | 6 | 2019 |
| Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels. H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller EGC, 375-376, 2019 | 1 | 2019 |
| Time series adversarial attacks: an investigation of smooth perturbations and defense approaches G Pialla, H Ismail Fawaz, M Devanne, J Weber, L Idoumghar, PA Muller, ... International Journal of Data Science and Analytics, 1-11, 2023 | | 2023 |
| ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging A Ismail-Fawaz, HI Fawaz, F Petitjean, M Devanne, J Weber, S Berretti, ... arXiv preprint arXiv:2309.16353, 2023 | | 2023 |
| Apprentissage profond pour la classification des séries temporelles H Ismail Fawaz Mulhouse, 2020 | | 2020 |
Germain ForestierFull Professor of Computer Science, Université de Haute AlsaceVerified email at uha.fr
