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Germain Forestier
Germain Forestier
Full Professor of Computer Science, Université de Haute Alsace
Correu electrònic verificat a uha.fr - Pàgina d'inici
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Citada per
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Deep learning for time series classification: a review
HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller
Data Mining and Knowledge Discovery 33 (4), 917-963, 2019
15512019
InceptionTime: Finding AlexNet for Time Series Classification
HI Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ...
Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2019
329*2019
Dynamic time warping averaging of time series allows faster and more accurate classification
F Petitjean, G Forestier, GI Webb, AE Nicholson, Y Chen, E Keogh
Data Mining (ICDM), 2014 IEEE International Conference on, 470-479, 2014
2472014
Surgical data science for next-generation interventions
L Maier-Hein, SS Vedula, S Speidel, N Navab, R Kikinis, A Park, ...
Nature Biomedical Engineering 1 (9), 691-696, 2017
2202017
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
1682018
Ontology-based object recognition for remote sensing image interpretation
N Durand, S Derivaux, G Forestier, C Wemmert, P Gançarski, O Boussaid, ...
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE …, 2007
1302007
Knowledge-based region labeling for remote sensing image interpretation
G Forestier, A Puissant, C Wemmert, P Gançarski
Computers, Environment and Urban Systems 36 (5), 470-480, 2012
1182012
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
117*2018
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
F Petitjean, G Forestier, GI Webb, AE Nicholson, Y Chen, E Keogh
Knowledge and Information Systems 47 (1), 1-26, 2016
1142016
Collaborative clustering with background knowledge
G Forestier, P Gancarski, C Wemmert
Data & Knowledge Engineering 69 (2), 211-228, 2010
1122010
A virtual imaging platform for multi-modality medical image simulation
T Glatard, C Lartizien, B Gibaud, RF Da Silva, G Forestier, F Cervenansky, ...
IEEE Transactions on Medical Imaging 32 (1), 110-118, 2013
1112013
Generating synthetic time series to augment sparse datasets
G Forestier, F Petitjean, HA Dau, GI Webb, E Keogh
Data Mining (ICDM), 2017 IEEE International Conference on, 865-870, 2017
962017
Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training
F Despinoy, D Bouget, G Forestier, C Penet, N Zemiti, P Poignet, P Jannin
IEEE Transactions on Biomedical Engineering 63 (6), 1280--1291, 2015
912015
Classification of surgical processes using dynamic time warping
G Forestier, F Lalys, L Riffaud, B Trelhu, P Jannin
Journal of Biomedical Informatics 45 (2), 255-264, 2012
912012
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation
S Derivaux, G Forestier, C Wemmert, S Lefèvre
Pattern Recognition Letters 31 (15), 2364-2374, 2010
792010
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
752019
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
752018
Optimizing dynamic time warping’s window width for time series data mining applications
HA Dau, DF Silva, F Petitjean, G Forestier, A Bagnall, A Mueen, E Keogh
Data Mining and Knowledge Discovery 32 (4), 1074-1120, 2018
582018
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
552019
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 (9 …, 2019
492019
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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