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Alireza Amirshahi
Alireza Amirshahi
Ph.D. student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
ECG classification algorithm based on STDP and R-STDP neural networks for real-time monitoring on ultra low-power personal wearable devices
A Amirshahi, M Hashemi
IEEE transactions on biomedical circuits and systems 13 (6), 1483-1493, 2019
882019
Epilepsygan: Synthetic epileptic brain activities with privacy preservation
D Pascual, A Amirshahi, A Aminifar, D Atienza, P Ryvlin, R Wattenhofer
IEEE Transactions on Biomedical Engineering 68 (8), 2435-2446, 2020
422020
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems
S Baghersalimi, A Amirshahi, F Forooghifar, T Teijeiro, A Aminifar, ...
arXiv preprint arXiv:2208.00885, 2022
112022
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
A Amirshahi, A Thomas, A Aminifar, T Rosing, D Atienza
IEEE Journal of Biomedical and Health Informatics 27 (1), 202-214, 2022
72022
Tic-sat: Tightly-coupled systolic accelerator for transformers
A Amirshahi, JAH Klein, G Ansaloni, D Atienza
Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023
42023
Robust and ip-protecting vertical federated learning against unexpected quitting of parties
J Sun, Z Du, A Dai, S Baghersalimi, A Amirshahi, D Atienza, Y Chen
arXiv preprint arXiv:2303.18178, 2023
32023
Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems
S Baghersalimi, A Amirshahi, T Teijeiro, A Aminifar, D Atienza
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023
12023
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
J Dan, U Pale, A Amirshahi, W Cappelletti, TM Ingolfsson, X Wang, ...
arXiv preprint arXiv:2402.13005, 2024
2024
FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems
A Amirshahi, J Dan, J Miranda, A Aminifar, D Atienza
Conference on Health, Inference, and Learning (CHIL) 2024, 13, 2024
2024
Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures
A Amirshahi, G Ansaloni, D Atienza
arXiv preprint arXiv:2312.13000, 2023
2023
Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States
A Amirshahi, N Kirsch, J Reymond, S Baghersalimi
2023 10th IEEE Swiss Conference on Data Science (SDS), 1-8, 2023
2023
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