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ORCIDAmin Aminifar
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2020 – today
- 2024
[j4]Amin Aminifar, Matin Shokri, Amir Aminifar:
Privacy-preserving edge federated learning for intelligent mobile-health systems. Future Gener. Comput. Syst. 161: 625-637 (2024)- [c11]Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar:
LightFF: Lightweight Inference for Forward-Forward Algorithm. ECAI 2024: 1728-1735 - [c10]Soheil Khooyooz, Anice Jahanjoo, Amin Aminifar, Nima TaheriNejad:
A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals. EMBC 2024: 1-5 - [c9]Amin Aminifar
, Soheil Khooyooz, Anice Jahanjoo, Salar Shakibhamedan, Nima TaheriNejad:
RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals. ISCAS 2024: 1-5 - [c8]Anice Jahanjoo, Nima TaheriNejad, Amin Aminifar:
High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors. ISCAS 2024: 1-5 - [c7]Salar Shakibhamedan, Amin Aminifar, Luke Vassallo, Nima TaheriNejad:
Harnessing Approximate Computing for Machine Learning. ISVLSI 2024: 585-591 - [i3]Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar:
Lightweight Inference for Forward-Forward Algorithm. CoRR abs/2404.05241 (2024) - [i2]Amin Aminifar, Matin Shokri, Amir Aminifar:
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems. CoRR abs/2405.05611 (2024) - [i1]Peter Traunmuller, Anice Jahanjoo, Soheil Khooyooz, Amin Aminifar, Nima TaheriNejad:
Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments. CoRR abs/2406.05813 (2024) - 2022
- [j3]Amin Aminifar, Matin Shokri, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo:
Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data. IEEE Access 10: 6010-6027 (2022) - 2021
- [c6]Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza:
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. AICAS 2021: 1-4 - [c5]Amin Aminifar, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo:
Diversity-Aware Anonymization for Structured Health Data. EMBC 2021: 2148-2154 - [c4]Amin Aminifar, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo:
Monitoring Motor Activity Data for Detecting Patients' Depression Using Data Augmentation and Privacy-Preserving Distributed Learning. EMBC 2021: 2163-2169 - [c3]Amin Aminifar, Fazle Rabbi, Yngve Lamo:
Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties. ICASSP 2021: 2655-2659 - [c2]Amin Aminifar, Fazle Rabbi, Ka I Pun, Yngve Lamo:
Privacy preserving distributed extremely randomized trees. SAC 2021: 1102-1105
2010 – 2019
- 2019
- [j2]Matin Shokri, Seyed Hossein Khasteh, Amin Aminifar:
Adaptive Fuzzy Watkins: A New Adaptive Approach for Eligibility Traces in Reinforcement Learning. Int. J. Fuzzy Syst. 21(5): 1443-1454 (2019) - 2018
- [j1]Dionisije Sopic, Amin Aminifar, Amir Aminifar, David Atienza:
Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems. IEEE Trans. Biomed. Circuits Syst. 12(5): 982-992 (2018) - 2017
- [c1]Dionisije Sopic, Amin Aminifar, Amir Aminifar, David Atienza:
Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices. BioCAS 2017: 1-4
Coauthor Index
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