HexagonalWarriorMamba applies a hierarchical Mamba architecture with 2D selective scanning to 12-lead ECGs treated as single-channel images, outperforming prior methods on threshold-dependent metrics for the 26-label PhysioNet 2021 multi-label task.
InProceedings of the IEEE/CVF international conference on computer vision, 10012–10022 (2021)
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HexagonalWarriorMamba: Superior Threshold-Dependent Multi-label Classification of 12-Lead ECG Cardiac Abnormalities
HexagonalWarriorMamba applies a hierarchical Mamba architecture with 2D selective scanning to 12-lead ECGs treated as single-channel images, outperforming prior methods on threshold-dependent metrics for the 26-label PhysioNet 2021 multi-label task.
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MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition
MSGL-Transformer reaches 75.4% accuracy on RatSI and 87.1% on CalMS21 for rodent behavior classification, beating TCN, LSTM, and several graph-based baselines.