François Petitjean
François Petitjean
Australian Government
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A global averaging method for dynamic time warping, with applications to clustering
F Petitjean, A Ketterlin, P Gançarski
Pattern recognition 44 (3), 678-693, 2011
6602011
Satellite image time series analysis under time warping
F Petitjean, J Inglada, P Gançarski
IEEE transactions on geoscience and remote sensing 50 (8), 3081-3095, 2012
2702012
Characterizing concept drift
GI Webb, R Hyde, H Cao, HL Nguyen, F Petitjean
Data Mining and Knowledge Discovery 30 (4), 964-994, 2016
2362016
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
2014 IEEE international conference on data mining, 470-479, 2014
2142014
Temporal convolutional neural network for the classification of satellite image time series
C Pelletier, GI Webb, F Petitjean
Remote Sensing 11 (5), 523, 2019
1392019
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, 2020
1032020
Spatio-temporal reasoning for the classification of satellite image time series
F Petitjean, C Kurtz, N Passat, P Gançarski
Pattern Recognition Letters 33 (13), 1805-1815, 2012
1022012
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
992016
Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
F Petitjean, P Gançarski
Theoretical Computer Science 414 (1), 76-91, 2012
882012
Generating synthetic time series to augment sparse datasets
G Forestier, F Petitjean, HA Dau, GI Webb, E Keogh
2017 IEEE international conference on data mining (ICDM), 865-870, 2017
662017
Proximity forest: an effective and scalable distance-based classifier for time series
B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, ...
Data Mining and Knowledge Discovery 33 (3), 607-635, 2019
512019
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
A Dempster, F Petitjean, GI Webb
Data Mining and Knowledge Discovery 34 (5), 1454-1495, 2020
492020
Analyzing concept drift and shift from sample data
GI Webb, LK Lee, B Goethals, F Petitjean
Data Mining and Knowledge Discovery 32 (5), 1179-1199, 2018
462018
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
442018
Indexing and classifying gigabytes of time series under time warping
CW Tan, GI Webb, F Petitjean
Proceedings of the 2017 SIAM international conference on data mining, 282-290, 2017
422017
Efficient satellite image time series analysis under time warping
F Petitjean, J Weber
IEEE Geoscience and Remote Sensing Letters 11 (6), 1143-1147, 2014
392014
TS-CHIEF: a scalable and accurate forest algorithm for time series classification
A Shifaz, C Pelletier, F Petitjean, GI Webb
Data Mining and Knowledge Discovery 34 (3), 742-775, 2020
382020
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
352010
Understanding concept drift
GI Webb, LK Lee, F Petitjean, B Goethals
arXiv preprint arXiv:1704.00362, 2017
302017
Skopus: Mining top-k sequential patterns under leverage
F Petitjean, T Li, N Tatti, GI Webb
Data Mining and Knowledge Discovery 30 (5), 1086-1111, 2016
302016
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