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Mahyar Shahsavari
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2020 – today
- 2024
- [c6]Paul Tiemeijer, Mahyar Shahsavari
, Mahmood Fazlali
Towards Music Instrument Classification using Convolutional Neural Networks. COINS 2024: 1-6 - [i5]Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Mahyar Shahsavari, Ana Tajadura-Jiménez:
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data. CoRR abs/2407.08362 (2024) - [i4]Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis:
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks. CoRR abs/2408.05098 (2024) - [i3]Marzieh Hassanshahi Varposhti, Mahyar Shahsavari, Marcel van Gerven:
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs. CoRR abs/2408.12978 (2024) - 2023
- [j3]Mahyar Shahsavari
Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems. Array 20: 100323 (2023) - [c5]Mohammadnavid Ghader, Bahar J. Farahani, Zahra Rezvani, Mahyar Shahsavari
Exploiting Federated Learning for EEG-based Brain-Computer Interface System. COINS 2023: 1-6 - 2022
- [c4]Habib Irani, Fatemeh Elahi, Mahmood Fazlali
Auto-tuning HyperParameters of SGD Matrix Factorization-Based Recommender Systems Using Genetic Algorithm. COINS 2022: 1-7 - 2021
- [c3]Mahyar Shahsavari
Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster Architecture. ICONS 2021: 5:1-5:8 - 2020
- [c2]Alexander Rast, Mahyar Shahsavari
A Hardware/Application Overlay Model for Large-Scale Neuromorphic Simulation. IJCNN 2020: 1-9
2010 – 2019
- 2019
- [p1]Mahyar Shahsavari
Spiking Neural Computing in Memristive Neuromorphic Platforms. Handbook of Memristor Networks 2019: 691-728 - 2018
- [j2]Mahyar Shahsavari
Parameter Exploration to Improve Performance of Memristor-Based Neuromorphic Architectures. IEEE Trans. Multi Scale Comput. Syst. 4(4): 833-846 (2018) - 2017
- [i2]Mahyar Shahsavari, Pierre Boulet:
Memristor nanodevice for unconventional computing: review and applications. CoRR abs/1703.00331 (2017) - 2016
- [b1]Mahyar Shahsavari:
Unconventional Computing Using Memristive Nanodevices: From Digital Computing to Brain-like Neuromorphic Accelerator. (Calcul non conventionnel avec des nanocomposants memristifs : du calcul numérique auxaccélérateurs neuromorphiques). Lille University of Science and Technology, France, 2016 - [j1]Seyyed Ashkan Ebrahimi, Mohammad Reza Reshadinezhad
Efficient CNTFET-based design of quaternary logic gates and arithmetic circuits. Microelectron. J. 53: 156-166 (2016) - [c1]Mahyar Shahsavari
Combining a volatile and nonvolatile memristor in artificial synapse to improve learning in Spiking Neural Networks. NANOARCH 2016: 67-72 - [i1]Mazdak Fatahi, Mahmood Ahmadi, Mahyar Shahsavari, Arash Ahmadi, Philippe Devienne:
evt_MNIST: A spike based version of traditional MNIST. CoRR abs/1604.06751 (2016)
Coauthor Index
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