Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices. - Dionisije Sopic; Amin Aminifar; Amir Aminifar; David Atienza (BioCAS, 2017)

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)

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)

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 (AICAS, 2021)

Diversity-Aware Anonymization for Structured Health Data. - Amin Aminifar; Fazle Rabbi 001; Violet Ka I Pun; Yngve Lamo (EMBC, 2021)

Monitoring Motor Activity Data for Detecting Patients' Depression Using Data Augmentation and Privacy-Preserving Distributed Learning. - Amin Aminifar; Fazle Rabbi 001; Violet Ka I Pun; Yngve Lamo (EMBC, 2021)

Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties. - Amin Aminifar; Fazle Rabbi 001; Yngve Lamo (ICASSP, 2021)

Privacy preserving distributed extremely randomized trees. - Amin Aminifar; Fazle Rabbi 001; Ka I Pun; Yngve Lamo (SAC, 2021)

Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data. - Amin Aminifar; Matin Shokri; Fazle Rabbi 001; Violet Ka I Pun; Yngve Lamo (IEEE Access, 2022)

Privacy-Preserving Federated Interpretability. - Azra Abtahi; Amin Aminifar; Amir Aminifar (IEEE Big Data, 2024)

LightFF: Lightweight Inference for Forward-Forward Algorithm. - Amin Aminifar; Baichuan Huang; Azra Abtahi; Amir Aminifar (ECAI, 2024)

A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals. - Soheil Khooyooz; Anice Jahanjoo; Amin Aminifar; Nima TaheriNejad (EMBC, 2024)

RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals. - Amin Aminifar; Soheil Khooyooz; Anice Jahanjoo; Salar Shakibhamedan; Nima TaheriNejad (ISCAS, 2024)

High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors. - Anice Jahanjoo; Nima TaheriNejad; Amin Aminifar (ISCAS, 2024)

Harnessing Approximate Computing for Machine Learning. - Salar Shakibhamedan; Amin Aminifar; Luke Vassallo; Nima TaheriNejad (ISVLSI, 2024)

Lightweight Inference for Forward-Forward Algorithm. - Amin Aminifar; Baichuan Huang; Azra Abtahi; Amir Aminifar (CoRR, 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)

Privacy-preserving edge federated learning for intelligent mobile-health systems. - Amin Aminifar; Matin Shokri; Amir Aminifar (Future Gener. Comput. Syst., 2024)

Federated Learning with Patient-Annotated Data in Epileptic Seizure Detection. - Amin Aminifar; Jonathan Dan; David Atienza (IJCNN, 2025)

Robustness and Privacy Interplay in Patient Membership Inference. - Anahita Baninajjar; Amin Aminifar; Kamran Hosseini; Amir Aminifar; Ahmed Rezine (IJCNN, 2025)