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Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition.

, , , , and . ICASSP, page 1300-1304. IEEE, (2021)

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HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information., , , , , and . ICASSP, page 1-5. IEEE, (2023)Hybrid Deep Neural Networks for Sparse Surface EMG-Based Hand Gesture Recognition., , , and . ACSSC, page 371-374. IEEE, (2020)Surface EMG-Based Hand Gesture Recognition via Hybrid and Dilated Deep Neural Network Architectures for Neurorobotic Prostheses., , , , and . J. Medical Robotics Res., 5 (1-2): 2041001:1-2041001:12 (2020)XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification., , , , and . ICASSP, page 1304-1308. IEEE, (2020)Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks., , , , , , and . Ad Hoc Networks, (2024)SepUnet: Depthwise Separable Convolution Integrated U-Net For MRI Reconstruction., , , and . ICIP, page 3792-3796. IEEE, (2021)Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition., , , , and . ICASSP, page 1300-1304. IEEE, (2021)Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism., , , , , and . ICASSP, page 1196-1200. IEEE, (2022)ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals., , , , and . EMBC, page 5115-5119. IEEE, (2022)TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks., , , , , and . ICC, page 613-618. IEEE, (2022)