Salar Shakibhamedan

2019202020212022202320241 1 3 2

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Nima TaheriNejadFull Professor (W3), Heidelberg UniversityVerified email at ziti.uni-heidelberg.de
Farhad FaradjiPhDVerified email at alumni.ubc.ca
Mansour ValiAsistant Professor on Biomedical EngineeringVerified email at eetd.kntu.ac.ir
Kooshan HashemifardMarie Skłodowska-Curie PhD Researcher, University of AlicanteVerified email at ua.es
Amin AminifarHeidelberg UniversityVerified email at uni-heidelberg.de
Aleksandr OmetovTampere University, Senior Research FellowVerified email at tuni.fi
Jari NurmiTampere UniversityVerified email at tuni.fi
Dewant KatareTU DelftVerified email at tudelft.nl
Soheil KhooyoozPh.D. Candidate, Heidelberg UniversityVerified email at ziti.uni-heidelberg.de
Axel JantschTU Wien, Vienna, Austria (Vienna University of Technology)Verified email at tuwien.ac.at
Anice JahanjooVienna University of TechnologyVerified email at tuwien.ac.at

Salar Shakibhamedan

TU Wien (Vienna University of Technology)

Verified email at tuwien.ac.at - Homepage


Title Sort by citations Sort by year Sort by 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	4	2022
Persian Musical Instrument Recognition System S Shakibhamedan, SK Hashemifard, F Faradji, M Vali First International Conference on New Research Achievements in Electrical …, 2016	2	2016
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	1	2024
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		2024
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		2024
RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals A Aminifar, S Khooyooz, A Jahanjoo, S Shakibhamedan, N TaheriNejad		2024

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