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Amin Aminifar
Amin Aminifar
Western Norway University of Applied Sciences
Verified email at hvl.no
Title
Cited by
Cited by
Year
Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems
D Sopic, A Aminifar, A Aminifar, D Atienza
IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2018
642018
Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices
D Sopic, A Aminifar, A Aminifar, D Atienza
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017
292017
A Practical Methodology for Anonymization of Structured Health Data
A Aminifar, Y Lamo, KI Pun, F Rabbi
Linköping University Electronic Press, 2019
92019
Privacy preserving distributed extremely randomized trees
A Aminifar, F Rabbi, KI Pun, Y Lamo
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1102-1105, 2021
72021
Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data
A Aminifar, M Shokri, F Rabbi, VKI Pun, Y Lamo
IEEE Access 10, 6010-6027, 2022
42022
Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health
T Nordgreen, F Rabbi, J Torresen, YS Skar, F Guribye, Y Inal, E Flobakk, ...
Journal of Enabling Technologies, 2021
42021
Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties
A Aminifar, F Rabbi, Y Lamo
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
Monitoring Motor Activity Data for Detecting Patients’ Depression Using Data Augmentation and Privacy-Preserving Distributed Learning
A Aminifar, F Rabbi, VKI Pun, Y Lamo
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
32021
Diversity-Aware Anonymization for Structured Health Data
A Aminifar, F Rabbi, VKI Pun, Y Lamo
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
22021
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices
F Forooghifar, A Aminifar, T Teijeiro, A Aminifar, J Jeppesen, S Beniczky, ...
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
12021
Privacy-Preserving Machine Learning and Data Sharing in Healthcare Applications
A Aminifar
Høgskulen på Vestlandet, 2022
2022
Artificial Intelligence in Mental Health
SK Mukhiya, A Aminifar, F Rabbi, VKI Pun, Y Lamo
Artificial Intelligence: Models, Algorithms and Applications, 13, 2021
2021
Adaptive Fuzzy Watkins: A New Adaptive Approach for Eligibility Traces in Reinforcement Learning
M Shokri, SH Khasteh, A Aminifar
International Journal of Fuzzy Systems, 2019
2019
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Articles 1–13