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 | 3112 | 2019 |
InceptionTime: Finding AlexNet for Time Series Classification HI Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... arXiv preprint arXiv:1909.04939, 2019 | 1100* | 2019 |
Transfer learning for time series classification HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2018 IEEE International Conference on Big Data (Big Data), 1367-1376, 2018 | 332 | 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 | 243 | 2019 |
Data augmentation using synthetic data for time series classification with deep residual networks HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller arXiv preprint arXiv:1808.02455, 2018 | 198 | 2018 |
Evaluating surgical skills from kinematic data using convolutional neural networks H Ismail Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 128 | 2018 |
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 14, 1611-1617, 2019 | 110 | 2019 |
Deep learning for colon cancer histopathological images analysis AB Hamida, M Devanne, J Weber, C Truntzer, V Derangère, F Ghiringhelli, ... Computers in Biology and Medicine 136, 104730, 2021 | 106 | 2021 |
Automatic building extraction in VHR images using advanced morphological operators S Lefèvre, J Weber, D Sheeren Urban Remote Sensing Joint Event, 2007, 1-5, 2007 | 104 | 2007 |
Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods M Grand-Brochier, A Vacavant, G Cerutti, C Kurtz, J Weber, L Tougne IEEE Transactions on Image Processing 24 (5), 1549-1560, 2015 | 88 | 2015 |
Recent trends in crowd analysis: A review M Bendali-Braham, J Weber, G Forestier, L Idoumghar, PA Muller Machine Learning with Applications 4, 100023, 2021 | 74 | 2021 |
Surgical motion analysis using discriminative interpretable patterns G Forestier, F Petitjean, P Senin, F Despinoy, A Huaulmé, HI Fawaz, ... Artificial intelligence in medicine 91, 3-11, 2018 | 57 | 2018 |
Efficient Satellite Image Time Series Analysis Under Time Warping F Petitjean, J Weber IEEE, 2014 | 54 | 2014 |
End-to-end deep representation learning for time series clustering: a comparative study B Lafabregue, J Weber, P Gançarski, G Forestier Data Mining and Knowledge Discovery 36 (1), 29-81, 2022 | 47 | 2022 |
Spatial & Spectral Morphological Template Matching J Weber, S Lefèvre Image and Vision Computing 30 (12), 934-945, 2012 | 38 | 2012 |
Coastline extraction in VHR imagery using mathematical morphology with spatial and spectral knowledge A Puissant, S Lefèvre, J Weber | 34 | 2008 |
A multivariate hit-or-miss transform for conjoint spatial and spectral template matching J Weber, S Lefèvre Image and Signal Processing, 226-235, 2008 | 30 | 2008 |
Deep neural network ensembles for time series classification HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 28* | 2019 |
Neural Architecture Search for Time Series Classification H Rakhshani, HI Fawaz, L Idoumghar, G Forestier, J Lepagnot, J Weber, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 24 | 2020 |
La morphologie mathématique binaire pour l’extraction automatique des bâtiments dans les images THRS D Sheeren, S Lefèvre, J Weber Revue internationale de Géomatique 17 (3-4), 2007 | 22 | 2007 |