Amin Aminifar

According to our database, Amin Aminifar authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy-preserving edge federated learning for intelligent mobile-health systems.

Amin Aminifar, Matin Shokri, Amir Aminifar

Future Gener. Comput. Syst., 2024

Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments.

Peter Traunmuller, Anice Jahanjoo, Soheil Khooyooz, Amin Aminifar, Nima TaheriNejad

CoRR, 2024

Lightweight Inference for Forward-Forward Algorithm.

Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar

CoRR, 2024

Harnessing Approximate Computing for Machine Learning.

Salar Shakibhamedan, Amin Aminifar, Luke Vassallo, Nima TaheriNejad

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors.

Anice Jahanjoo, Nima TaheriNejad, Amin Aminifar

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals.

Amin Aminifar, Soheil Khooyooz, Anice Jahanjoo, Salar Shakibhamedan, Nima TaheriNejad

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

LightFF: Lightweight Inference for Forward-Forward Algorithm.

Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2022

Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data.

Amin Aminifar, Matin Shokri, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo

IEEE Access, 2022

2021

Privacy preserving distributed extremely randomized trees.

Amin Aminifar, Fazle Rabbi, Ka I Pun, Yngve Lamo

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties.

Amin Aminifar, Fazle Rabbi, Yngve Lamo

Proceedings of the IEEE International Conference on Acoustics, 2021

Monitoring Motor Activity Data for Detecting Patients' Depression Using Data Augmentation and Privacy-Preserving Distributed Learning.

Amin Aminifar, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Diversity-Aware Anonymization for Structured Health Data.

Amin Aminifar, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices.

Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2019

Adaptive Fuzzy Watkins: A New Adaptive Approach for Eligibility Traces in Reinforcement Learning.

Matin Shokri, Seyed Hossein Khasteh, Amin Aminifar

Int. J. Fuzzy Syst., 2019

2018

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems.

Dionisije Sopic, Amin Aminifar, Amir Aminifar, David Atienza

IEEE Trans. Biomed. Circuits Syst., 2018

2017

Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices.

Dionisije Sopic, Amin Aminifar, Amir Aminifar, David Atienza

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017