标题/作者	年份
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
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances AP Ruiz, M Flynn, J Large, M Middlehurst, A Bagnall Data Mining and Knowledge Discovery 35 (2), 401-449	2021
Deep learning for ECG analysis: Benchmarks and insights from PTB-XL N Strodthoff, P Wagner, T Schaeffter, W Samek IEEE Journal of Biomedical and Health Informatics 25 (5), 1519-1528	2020
Minirocket: A very fast (almost) deterministic transform for time series classification A Dempster, DF Schmidt, GI Webb Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …	2021
Self-attention for raw optical satellite time series classification M Rußwurm, M Körner ISPRS journal of photogrammetry and remote sensing 169, 421-435	2020
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry A Theissler, J Pérez-Velázquez, M Kettelgerdes, G Elger Reliability engineering & system safety 215, 107864	2021
HIVE-COTE 2.0: a new meta ensemble for time series classification M Middlehurst, J Large, M Flynn, J Lines, A Bostrom, A Bagnall Machine Learning 110 (11-12), 3211-3243	2021
RTFN: A robust temporal feature network for time series classification Z Xiao, X Xu, H Xing, S Luo, P Dai, D Zhan Information sciences 571, 65-86	2021
Patch-VQ:'Patching Up'the video quality problem Z Ying, M Mandal, D Ghadiyaram, A Bovik Proceedings of the IEEE/CVF conference on computer vision and pattern …	2021
Revisiting a methodology for efficient CNN architectures in profiling attacks L Wouters, V Arribas, B Gierlichs, B Preneel IACR Transactions on Cryptographic Hardware and Embedded Systems, 147-168	2020
Multi-source deep domain adaptation with weak supervision for time-series sensor data G Wilson, JR Doppa, DJ Cook Proceedings of the 26th ACM SIGKDD international conference on knowledge …	2020
iSPLInception: An inception-ResNet deep learning architecture for human activity recognition M Ronald, A Poulose, DS Han IEEE Access 9, 68985-69001	2021
Unsupervised deep anomaly detection for multi-sensor time-series signals Y Zhang, Y Chen, J Wang, Z Pan IEEE Transactions on Knowledge and Data Engineering	2021
The canonical interval forest (CIF) classifier for time series classification M Middlehurst, J Large, A Bagnall 2020 IEEE international conference on big data (big data), 188-195	2020
EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification C Zhang, YK Kim, A Eskandarian Journal of Neural Engineering 18 (4), 046014	2021
Automated ECG classification using a non-local convolutional block attention module J Wang, X Qiao, C Liu, X Wang, YY Liu, L Yao, H Zhang Computer Methods and Programs in Biomedicine 203, 106006	2021
Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram D Zhang, S Yang, X Yuan, P Zhang Iscience 24 (4)	2021
The temporal dictionary ensemble (TDE) classifier for time series classification M Middlehurst, J Large, G Cawley, A Bagnall Machine Learning and Knowledge Discovery in Databases: European Conference …	2021
Deep convolutional neural network with rnns for complex activity recognition using wrist-worn wearable sensor data S Mekruksavanich, A Jitpattanakul Electronics 10 (14), 1685	2021
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, 1032-1060	2021

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