Germain Forestier
Germain Forestier
Full Professor of Computer Science, Université de Haute Alsace
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Collaborative clustering with background knowledge
G Forestier, P Gancarski, C Wemmert
Data & Knowledge Engineering 69 (2), 211-228, 2010
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
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
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
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
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
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
Multiresolution remote sensing image clustering
C Wemmert, A Puissant, G Forestier, P Gançarski
IEEE Geoscience and Remote Sensing Letters 6 (3), 533-537, 2009
Multi-site study of surgical practice in neurosurgery based on Surgical Process Models
G Forestier, F Lalys, L Riffaud, D Louis Collins, J Meixensberger, ...
Journal of Biomedical Informatics 46 (5), 822-829, 2013
Analysing satellite image time series by means of pattern mining
F Petitjean, P Gançarski, F Masseglia, G Forestier
International Conference on Intelligent Data Engineering and Automated …, 2010
Multisource images analysis using collaborative clustering
G Forestier, C Wemmert, P Gançarski
EURASIP Journal on Advances in Signal Processing 2008 (1), 374095, 2008
Evaluating surgical skills from kinematic data using convolutional neural networks
HI Fawaz, G Forestier, J Weber, L Idoumghar, PA Muller
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Surgical Data Science: Enabling Next-Generation Surgery
L Maier-Hein, S Vedula, S Speidel, N Navab, R Kikinis, A Park, ...
arXiv preprint arXiv:1701.06482, 2017
Automatic phase prediction from low-level surgical activities
G Forestier, L Riffaud, P Jannin
International Journal for Computer Assisted Radiology and Surgery 10 (6 …, 2015
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
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