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Amir Aminifar
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Cited by
Cited by
Year
Analysis, Design, and Optimization of Embedded Control Systems
A Aminifar
Linköping Studies in Science and Technology, 2016
222016
Designing bandwidth-efficient stabilizing control servers
A Aminifar, E Bini, P Eles, Z Peng
2013 IEEE 34th Real-Time Systems Symposium, 298-307, 2013
222013
Stability-aware analysis and design of embedded control systems
A Aminifar, P Eles, Z Peng, A Cervin
2013 Proceedings of the International Conference on Embedded Software …, 2013
222013
Self-Triggered Controllers and Hard Real-Time Guarantees
A Aminifar, P Tabuada, P Eles, Z Peng
Design, Automation & Test in Europe (DATE),, 2016
19*2016
Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology
D Sopic, E De Giovanni, A Aminifar, D Atienza
Computing in Cardiology (CinC), 2017
172017
Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection
D Sopic, T Teijeiro, D Atienza, A Aminifar, P Ryvlin
Epilepsia 64, S23-S33, 2023
162023
Butterfly Attack: Adversarial Manipulation of Temporal Properties of Cyber-Physical Systems
R Mahfouzi, A Aminifar, S Samii, M Payer, P Eles, Z Peng
Real-time systems symptom (RTSS), 2019
162019
Jfair: A scheduling algorithm to stabilize control applications
A Aminifar, P Eles, Z Peng
21st IEEE Real-Time and Embedded Technology and Applications Symposium, 63-72, 2015
162015
Analysis and Design of Real-Time Servers for Control Applications
A Aminifar, E Bini, P Eles, Z Peng
IEEE Transactions on Computers, 2015
162015
A self-learning methodology for epileptic seizure detection with minimally-supervised edge labeling
D Pascual, A Aminifar, D Atienza
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 764-769, 2019
152019
A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset
E De Giovanni, A Aminifar, A Luca, S Yazdani, JM Vesin, D Atienza
Computing in Cardiology (CinC), 2017
152017
DynSus: Dynamic sustainability assessment in groundwater remediation practice
M Naseri-Rad, R Berndtsson, A Aminifar, US McKnight, D O'Connor, ...
Science of The Total Environment 832, 154992, 0
14*
Real-time personalized atrial fibrillation prediction on multi-core wearable sensors
E De Giovanni, AA Valdes, M Peon-Quiros, A Aminifar, D Atienza
IEEE Transactions on Emerging Topics in Computing 9 (4), 1654-1666, 2020
132020
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
122021
Self-aware machine learning for multimodal workload monitoring during manual labor on edge wearable sensors
G Masinelli, F Forooghifar, A Arza, D Atienza, A Aminifar
IEEE Design & Test 37 (5), 58-66, 2020
122020
Noise-Resilient and Interpretable Epileptic Seizure Detection
AH Thomas, A Aminifar, D Atienza
IEEE International Symposium on Circuits and Systems (ISCAS), 2020
122020
M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems
S Baghersalimi, A Amirshahi, F Forooghifar, T Teijeiro, A AMINIFAR, ...
ACM Transactions on Intelligent Systems and Technology, 2024
11*2024
Control-Quality Driven Design of Embedded Control Systems with Stability Guarantees
A Aminifar, P Eles, Z Peng, A Cervin, KE Årzén
IEEE Design & Test Magazine, 2017
112017
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
A Amirshahi, A Thomas, A Aminifar, T Rosing, D Atienza
IEEE Journal of Biomedical and Health Informatics 27 (1), 202-214, 2022
102022
Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study
A Aminifar
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
102020
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Articles 21–40