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Salar Shakibhamedan
Salar Shakibhamedan
TU Wien (Vienna University of Technology)
Verified email at tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
Energy-aware Adaptive Approximate Computing for Deep Learning Applications
N TaheriNejad, S Shakibhamedan
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 328-328, 2022
52022
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
32024
Adaptive approximate computing in edge AI and IoT applications: A review
HJ Damsgaard, A Grenier, D Katare, Z Taufique, S Shakibhamedan, ...
Journal of Systems Architecture, 103114, 2024
22024
ACE-CNN: Approximate Carry Disregard Multipliers for Energy-Efficient CNN-Based Image Classification
S Shakibhamedan, N Amirafshar, AS Baroughi, HS Shahhoseini, ...
IEEE Transactions on Circuits and Systems I: Regular Papers, 2024
22024
Recognoise: Machine-learning-based recognition of noisy segments in electrocardiogram signals
A Aminifar, S Khooyooz, A Jahanjoo, S Shakibhamedan, N TaheriNejad
2024 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2024
22024
Persian Musical Instrument Recognition System
S Shakibhamedan, SK Hashemifard, F Faradji, M Vali
First International Conference on New Research Achievements in Electrical …, 2016
22016
An Analytical Approach to Enhancing DNN Efficiency and Accuracy Using Approximate Multiplication
S Shakibhamedan, A Jahanjoo, A Aminifar, N Amirafshar, N TaheriNejad, ...
2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 2024
2024
Harnessing Approximate Computing for Machine Learning
S Shakibhamedan, A Aminifar, L Vassallo, N TaheriNejad
2024
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