Outlier Detection On Ecg5000
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||
|---|---|---|---|
| VRAE+SVM | 0.9843 | Learning Representations from Healthcare Time Series Data for Unsupervised Anomaly Detection | - |
| F-t ALSTM-FCN | 0.9496 | LSTM Fully Convolutional Networks for Time Series Classification | |
| GENDIS | 0.94 | GENDIS: GENetic DIscovery of Shapelets |
0 of 3 row(s) selected.