notesum.ai
Published at November 18ST-Tree with Interpretability for Multivariate Time Series Classification
cs.AI
Released Date: November 18, 2024
Authors: Mingsen Du1, Yanxuan Wei2, Yingxia Tang2, Xiangwei Zheng3, Shoushui Wei1, Cun Ji4
Aff.: 1School of Control Science and Engineering, Shandong University, Jinan, China; 2School of Information Science and Engineering, Shandong Normal University, Jinan, China; 3School of Information Science and Engineering, Shandong Normal University, Jinan, China; Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan, China; 4Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan, China

| Datasets | Type | Train | Test | Dimensions | Lengths | Classes | |
|---|---|---|---|---|---|---|---|
| AWR | Motion | 275 | 300 | 9 | 144 | 25 | |
| AF | ECG | 15 | 15 | 2 | 640 | 3 | |
| BM | HAR | 40 | 40 | 6 | 100 | 4 | |
| CT | Motion | 1422 | 1436 | 3 | 182 | 20 | |
|
EEG/MEG | 160 | 74 | 10 | 400 | 4 | |
| NATOPS | HAR | 180 | 180 | 24 | 51 | 6 | |
| PD | Motion | 7494 | 3498 | 2 | 8 | 10 | |
| SR2 | EEG/MEG | 200 | 180 | 7 | 1152 | 2 | |
| SAD | AS | 6599 | 2199 | 13 | 93 | 10 | |
| SWJ | ECG | 12 | 15 | 4 | 2500 | 3 |