Elahe Rahimian

According to our database1, Elahe Rahimian authored at least 24 papers between 2018 and 2024.

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Bibliography

2024
Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks.
Ad Hoc Networks, 2024

2023
Light-Weight CNN-Attention Based Architecture Trained with a Hybrid Objective Function for EMG-Based Human Machine Interfaces.
Trans. Comput. Sci., 2023

Light-Weight CNN-Attention Based Architecture for Hand Gesture Recognition Via Electromyography.
Proceedings of the IEEE International Conference on Acoustics, 2023

HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information.
Proceedings of the IEEE International Conference on Acoustics, 2023

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains.
CoRR, 2022

Light-weighted CNN-Attention based architecture for Hand Gesture Recognition via ElectroMyography.
CoRR, 2022

TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography.
CoRR, 2022

BP-Net: Cuff-less and non-invasive blood pressure estimation via a generic deep convolutional architecture.
Biomed. Signal Process. Control., 2022

TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks.
Proceedings of the IEEE International Conference on Communications, 2022

Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2022

ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture.
CoRR, 2021

Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis.
CoRR, 2021

TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition.
CoRR, 2021

SepUnet: Depthwise Separable Convolution Integrated U-Net For MRI Reconstruction.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Surface EMG-Based Hand Gesture Recognition via Hybrid and Dilated Deep Neural Network Architectures for Neurorobotic Prostheses.
J. Medical Robotics Res., 2020

FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography.
CoRR, 2020

XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hybrid Deep Neural Networks for Sparse Surface EMG-Based Hand Gesture Recognition.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification.
CoRR, 2019

Semg-Based Hand Gesture Recognition Via Dilated Convolutional Neural Networks.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Digital Implementation of the Two-Compartmental Pinsky-Rinzel Pyramidal Neuron Model.
IEEE Trans. Biomed. Circuits Syst., 2018


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