MINA

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical3 results

Atrial FibrillationonPhysioNet Challenge 2017
F1· 2019-05-27
0.8342
best: 0.8843 (TMF(VGG16-MLP))
SOTA
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals arXiv:1905.11333
Atrial FibrillationonPhysioNet Challenge 2017
PR-AUC· 2019-05-27
0.9436
best: 0.9584 (TMF(VGG16-MLP))
SOTA
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals arXiv:1905.11333
Atrial FibrillationonPhysioNet Challenge 2017
ROC-AUC· 2019-05-27
0.9488
best: 0.955 (TMF(VGG16-MLP))
SOTA
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals arXiv:1905.11333