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.
Xception: Deep learning with depthwise separable convolutions
2 Pith papers cite this work. Polarity classification is still indexing.
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CNN classifies nine magnetic states from visualized atomistic spin dynamics simulation images using EfficientNetV1B0.
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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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CNN-Based Classifier for Automated Identification of Magnetic States in Spin Dynamics Simulations
CNN classifies nine magnetic states from visualized atomistic spin dynamics simulation images using EfficientNetV1B0.