| Multi-level binarized lstm in eeg classification for wearable devices N Nazari, SA Mirsalari, S Sinaei, ME Salehi, M Daneshtalab 2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020 | 18 | 2020 |
| ELC-ECG: Efficient LSTM cell for ECG classification based on quantized architecture SA Mirsalari, N Nazari, SA Ansarmohammadi, S Sinaei, ME Salehi, ... 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 12 | 2021 |
| FaCT-LSTM: fast and compact ternary architecture for LSTM recurrent neural networks SA Mirsalari, N Nazari, S Sinaei, ME Salehi, M Daneshtalab IEEE design & test 39 (3), 45-53, 2022 | 9 | 2022 |
| MuBiNN: Multi-level binarized recurrent neural network for EEG signal classification SA Mirsalari, S Sinaei, ME Salehi, M Daneshtalab 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 9 | 2020 |
| E2BNet: MAC-free yet accurate 2-level binarized neural network accelerator for embedded systems SA Mirsalari, N Nazari, SA Ansarmohammadi, ME Salehi, S Ghiasi Journal of Real-Time Image Processing 18 (4), 1285-1299, 2021 | 7 | 2021 |
| Optimizing Self-Organizing Maps for Bacterial Genome Identification on Parallel Ultra-Low-Power Platforms SA Mirsalari, S Yousefzadeh, G Tagliavini, D Stathis, A Hemani 2023 30th IEEE International Conference on Electronics, Circuits and Systems …, 2023 | | 2023 |
| TransLib: A Library to Explore Transprecision Floating-Point Arithmetic on Multi-Core IoT End-Nodes SA Mirsalari, G Tagliavini, D Rossi, L Benini 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2023 | | 2023 |
Masoud DaneshtalabProfessor, Mälardalen University (Sweden), TalTech (Estonia)Verified email at mdh.se
