| 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 | 576 | 2011 |
| 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 | 242 | 2012 |
| 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 | 200 | 2014 |
| Characterizing concept drift GI Webb, R Hyde, H Cao, HL Nguyen, F Petitjean Data Mining and Knowledge Discovery 30 (4), 964-994, 2016 | 185 | 2016 |
| 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 | 94 | 2016 |
| 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 | 94 | 2012 |
| Temporal convolutional neural network for the classification of satellite image time series C Pelletier, GI Webb, F Petitjean Remote Sensing 11 (5), 523, 2019 | 87 | 2019 |
| 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 | 83 | 2012 |
| 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 | 47 | 2017 |
| 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 | 36 | 2019 |
| 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 | 35 | 2018 |
| 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 | 35 | 2017 |
| Efficient satellite image time series analysis under time warping F Petitjean, J Weber IEEE Geoscience and Remote Sensing Letters 11 (6), 1143-1147, 2014 | 35 | 2014 |
| 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 | 34 | 2020 |
| 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 | 32 | 2010 |
| 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 | 29 | 2018 |
| 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 | 26 | 2016 |
| Scaling log-linear analysis to high-dimensional data F Petitjean, GI Webb, AE Nicholson 2013 IEEE 13th International Conference on Data Mining, 597-606, 2013 | 25 | 2013 |
| Efficient search of the best warping window for Dynamic Time Warping CW Tan, M Herrmann, G Forestier, GI Webb, F Petitjean SIAM International Conference on Data Mining, 2018 | 24 | 2018 |
| 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 | 22 | 2018 |
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
