Follow
Jonathan Weber
Title
Cited by
Cited by
Year
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
36422019
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
1392*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
3842018
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
2772019
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
2202018
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
1642021
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
1422018
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
1292019
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
1072007
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
962021
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
892015
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
712022
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
682018
Efficient Satellite Image Time Series Analysis Under Time Warping
F Petitjean, J Weber
IEEE, 2014
592014
Spatial & Spectral Morphological Template Matching
J Weber, S Lefèvre
Image and Vision Computing 30 (12), 934-945, 2012
392012
Coastline extraction in VHR imagery using mathematical morphology with spatial and spectral knowledge
A Puissant, S Lefèvre, J Weber
352008
A multivariate hit-or-miss transform for conjoint spatial and spectral template matching
J Weber, S Lefèvre
Image and Signal Processing, 226-235, 2008
322008
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
31*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
292020
Deep learning for time series classification using new hand-crafted convolution filters
A Ismail-Fawaz, M Devanne, J Weber, G Forestier
2022 IEEE International Conference on Big Data (Big Data), 972-981, 2022
272022
The system can't perform the operation now. Try again later.
Articles 1–20