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ORCIDBenyamin Allahgholizadeh Haghi
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Journal Articles
- 2018
[j1]Mahsa Shoaran
, Benyamin Allahgholizadeh Haghi, Milad Taghavi, Masoud Farivar, Azita Emami-Neyestanak:
Energy-Efficient Classification for Resource-Constrained Biomedical Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 693-707 (2018)
Conference and Workshop Papers
- 2023
- [c6]Benyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami:
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. BioCAS 2023: 1-5 - 2019
- [c5]Sahil Shah, Benyamin Allahgholizadeh Haghi, Spencer S. Kellis, Luke Bashford, Daniel Kramer, Brian C. Lee, Charles Liu, Richard A. Andersen, Azita Emami:
Decoding Kinematics from Human Parietal Cortex using Neural Networks. NER 2019: 1138-1141 - [c4]Benyamin Allahgholizadeh Haghi, Spencer S. Kellis, Sahil Shah, Maitreyi Ashok, Luke Bashford, Daniel Kramer, Brian C. Lee, Charles Liu, Richard A. Andersen, Azita Emami:
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces. NeurIPS 2019: 14487-14498 - 2018
- [c3]Milad Taghavi, Benyamin Allahgholizadeh Haghi, Masoud Farivar, Mahsa Shoaran, Azita Emami:
A 41.2 nJ/class, 32-Channel On-Chip Classifier for Epileptic Seizure Detection. EMBC 2018: 3693-3696 - 2016
- [c2]Hao Nan, Benyamin Allahgholizadeh Haghi, Miaad S. Aliroteh, Mojtaba Fallahpour, Amin Arbabian:
Fast iterative reconstruction algorithm for microwave-induced thermoacoustic imaging. BioCAS 2016: 1-4 - 2015
- [c1]Hao Nan, Benyamin Allahgholizadeh Haghi, Amin Arbabian:
Interferogram-based breast tumor classification using microwave-induced thermoacoustic imaging. EMBC 2015: 2717-2720
Informal and Other Publications
- 2024
- [i2]Reza Nikandish, Jiayu He, Benyamin Allahgholizadeh Haghi:
Resource-Efficient Heartbeat Classification Using Multi-Feature Fusion and Bidirectional LSTM. CoRR abs/2405.15312 (2024) - 2023
- [i1]Benyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami:
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. CoRR abs/2310.15466 (2023)
Coauthor Index
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