| 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 | 91 | 2018 |
| 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 | 42 | 2017 |
| 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 | 29 | 2022 |
| 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 | 17 | 2021 |
| 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 | 15 | 2021 |
| 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 15 (4), 241-251, 2021 | 13 | 2021 |
| A Practical Methodology for Anonymization of Structured Health Data A Aminifar, Y Lamo, KI Pun, F Rabbi 2019 17th Scandinavian Conference on Health Informatics (SHI), 127-133, 2019 | 13 | 2019 |
| 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 | 10 | 2021 |
| 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 | 9 | 2021 |
| 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 | 7 | 2021 |
| Towards adaptive technology in routine mental health care Y Lamo, SK Mukhiya, F Rabbi, A Aminifar, SI Lillehaug, J Tørresen, ... DIGITAL HEALTH 8, 20552076221128678, 2022 | 6 | 2022 |
| EASE: Energy Optimization through Adaptation–A Review of Runtime Energy-Aware Approximate Deep Learning Algorithms S Shakibhamedan, A Aminifar, N Taherinejad, A Jantsch Authorea Preprints, 2024 | 3 | 2024 |
| High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors A Jahanjoo, N TaheriNejad, A Aminifar IEEE International Symposium on Circuits and Systems (ISCAS), 2024 | 3 | 2024 |
| RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals A Aminifar, S Khooyooz, A Jahanjoo, S Shakibhamedan, N TaheriNejad IEEE International Symposium on Circuits and Systems (ISCAS), 2024 | 2 | 2024 |
| A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals S Khooyooz, A Jahanjoo, A Aminifar, N TaheriNejad 46th Annual International Conference of the IEEE Engineering in Medicine …, 2024 | 1 | 2024 |
| Privacy-Preserving Machine Learning and Data Sharing in Healthcare Applications A Aminifar Høgskulen på Vestlandet, 2022 | 1 | 2022 |
| 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 | 1 | 2019 |
| Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments P Traunmuller, A Jahanjoo, S Khooyooz, A Aminifar, N TaheriNejad arXiv e-prints, arXiv: 2406.05813, 2024 | | 2024 |
| Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems A Aminifar, M Shokri, A Aminifar arXiv preprint arXiv:2405.05611, 2024 | | 2024 |
| An Analytical Approach to Enhancing DNN Efficiency and Accuracy Using Approximate Multiplication S Shakibhamedan, A Jahanjoo, A Aminifar, N Amirafshar, N TaheriNejad, ... Workshop on Advancing Neural Network Training: Computational Efficiency …, 2024 | | 2024 |
Yngve LamoProfessor Computer Science, Western Norway University of Applied Science在 hvl.no 的电子邮件经过验证
