Multivariate Time Series Classification on LIBRAS (test)
0.97AccuracyMLSTMFCN
Evaluation Results
| Method | Links | |
|---|---|---|
| MLSTMFCN2020.06 | 0.97 | |
| FCN128Backbone=FCN, Filter size=1282020.06 | 0.966 | |
| RESNETBackbone=ResNet2020.06 | 0.966 | |
| FCN128-LS2T64Backbone=FCN, Backbone Filter size=128, Rank=642020.06 | 0.956 | |
| ARKERNEL2020.06 | 0.952 | |
| FCN64-LS2T64Backbone=FCN, Backbone Filter size=64, Rank=642020.06 | 0.946 | |
| mvARF2020.06 | 0.945 | |
| gRSF2020.06 | 0.911 | |
| SMTS2020.06 | 0.909 | |
| LPS2020.06 | 0.903 | |
| MUSE2020.06 | 0.894 | |
| DTW2020.06 | 0.888 | |
| LS2T64Rank=642020.06 | 0.859 | |
| ResRMNIRecurrent Matrix=Identity2025.08 | 0.807 | |
| RMN2025.08 | 0.806 | |
| LLM NASm (number of modalities)=1, dm (number of variates)=2, Tm (sequence length)=45, C (number of classes)=15, Train size=180, Test size=180, NAS search budget (cycles)=102026.03 | 0.789 | |
| Baseline stagedm (number of modalities)=1, dm (number of variates)=2, Tm (sequence length)=45, C (number of classes)=15, Train size=180, Test size=1802026.03 | 0.767 | |
| ResESNCRecurrent Matrix=Circular2025.08 | 0.766 | |
| LeakyESN2025.08 | 0.76 | |
| Previous workm (number of modalities)=1, dm (number of variates)=2, Tm (sequence length)=45, C (number of classes)=15, Train size=180, Test size=1802026.03 | 0.756 | |
| ResESNIRecurrent Matrix=Identity2025.08 | 0.753 | |
| ResESNRRecurrent Matrix=Random2025.08 | 0.749 | |
| ResRMNRRecurrent Matrix=Random2025.08 | 0.73 | |
| ResRMNCRecurrent Matrix=Circular2025.08 | 0.712 | |
| Baseline end-to-endm (number of modalities)=1, dm (number of variates)=2, Tm (sequence length)=45, C (number of classes)=15, Train size=180, Test size=1802026.03 | 0.606 |