Time-series Classification on Epilepsy (test)
97.23AccuracyTS-TCC
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TS-TCCEvaluation Protocol=linear evaluation, Encoder State=frozen pretrained2021.06 | 97.23 | 95.54 | — | |
| Baseline stagedm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=206, C (number of classes)=4, Train size=137, Test size=1382026.03 | 97.1 | — | — | |
| SupervisedEvaluation Protocol=end-to-end supervised training, Encoder State=jointly trained2021.06 | 96.66 | 94.52 | — | |
| CPCEvaluation Protocol=linear evaluation, Encoder State=frozen pretrained2021.06 | 96.61 | 94.44 | — | |
| Baseline end-to-endm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=206, C (number of classes)=4, Train size=137, Test size=1382026.03 | 96.4 | — | — | |
| MF-ESN2026.04 | 96.1 | — | — | |
| SimCLREvaluation Protocol=linear evaluation, Encoder State=frozen pretrained2021.06 | 96.05 | 93.53 | — | |
| PULSEPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 95.82 | — | 98.51 | |
| MARS2026.04 | 95.6 | — | — | |
| REBARPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 95.27 | — | 98.33 | |
| PatchTSTPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 95.03 | — | 98.04 | |
| DSVAEPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 94.97 | — | 98.17 | |
| LFADSPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 94.71 | — | 98.01 | |
| TS2VecPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 93.95 | — | 95.87 | |
| SSL-ECGEvaluation Protocol=linear evaluation, Encoder State=frozen pretrained2021.06 | 93.72 | 89.15 | — | |
| SimCLRPre-training Dataset=EEG, Fine-tuning Head=2-layer MLP, Fine-tuning Epochs=40, Optimizer=Adam, Learning Rate=0.0003, Aggregation=Average of five random seeds2025.11 | 93.52 | — | 97.52 | |
| Random InitializationEvaluation Protocol=linear evaluation, Encoder State=randomly initialized2021.06 | 90.26 | 81.12 | — | |
| ESN2026.04 | 86.8 | — | — | |
| Previous workm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=206, C (number of classes)=4, Train size=137, Test size=1382026.03 | 67 | — | — |