| Inceptiontime: Finding alexnet for time series classification H Ismail Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2020 | 1383 | 2020 |
| 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 | 1365 | 2011 |
| 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 | 987 | 2020 |
| Characterizing concept drift GI Webb, R Hyde, H Cao, HL Nguyen, F Petitjean Data Mining and Knowledge Discovery 30 (4), 964-994, 2016 | 585 | 2016 |
| Temporal convolutional neural network for the classification of satellite image time series C Pelletier, GI Webb, F Petitjean Remote Sensing 11 (5), 523, 2019 | 578 | 2019 |
| 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 | 399 | 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 | 323 | 2014 |
| 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 | 252 | 2020 |
| 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 | 219 | 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 | 213 | 2019 |
| 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, 1-26, 2016 | 152 | 2016 |
| Analyzing concept drift and shift from sample data GI Webb, LK Lee, B Goethals, F Petitjean Data Mining and Knowledge Discovery 32, 1179-1199, 2018 | 130 | 2018 |
| 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 | 129 | 2012 |
| Time series extrinsic regression: Predicting numeric values from time series data CW Tan, C Bergmeir, F Petitjean, GI Webb Data Mining and Knowledge Discovery 35 (3), 1032-1060, 2021 | 127 | 2021 |
| 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 | 118 | 2012 |
| 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, 1074-1120, 2018 | 103 | 2018 |
| Understanding concept drift GI Webb, LK Lee, F Petitjean, B Goethals arXiv preprint arXiv:1704.00362, 2017 | 89 | 2017 |
| 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 | 85 | 2017 |
| 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 | 68 | 2018 |
| Efficient satellite image time series analysis under time warping F Petitjean, J Weber IEEE Geoscience and Remote Sensing Letters 11 (6), 1143-1147, 2014 | 59 | 2014 |
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash University在 monash.edu 的电子邮件经过验证