| DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems M Loni, S Sinaei, A Zoljodi, M Daneshtalab, M Sjödin Microprocessors and Microsystems 73, 102989, 2020 | 125 | 2020 |
| Neuropower: Designing energy efficient convolutional neural network architecture for embedded systems M Loni, A Zoljodi, S Sinaei, M Daneshtalab, M Sjödin Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 28 | 2019 |
| 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 | 19 | 2020 |
| Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics S Mohammadi, A Balador, S Sinaei, F Flammini Journal of Parallel and Distributed Computing, 104918, 2024 | 16 | 2024 |
| Anomaly detection based on lstm and autoencoders using federated learning in smart electric grid R Shrestha, M Mohammadi, S Sinaei, A Salcines, D Pampliega, ... Journal of Parallel and Distributed Computing 193, 104951, 2024 | 15 | 2024 |
| 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 | 13 | 2021 |
| Roco-nas: robust and compact neural architecture search V Geraeinejad, S Sinaei, M Modarressi, M Daneshtalab 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 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 | 10 | 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 | 10 | 2020 |
| Secure and efficient federated learning by combining homomorphic encryption and gradient pruning in speech emotion recognition S Mohammadi, S Sinaei, A Balador, F Flammini International Conference on Information Security Practice and Experience, 1-16, 2023 | 7 | 2023 |
| Optimized paillier homomorphic encryption in federated learning for speech emotion recognition S Mohammadi, S Sinaei, A Balador, F Flammini 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 7 | 2023 |
| Novel heuristic mapping algorithms for design space exploration of multiprocessor embedded architectures S Sinaei, O Fatemi 2016 24th Euromicro International Conference on Parallel, Distributed, and …, 2016 | 7 | 2016 |
| Anomaly detection using lstm-autoencoder in smart grid: A federated learning approach M Mohammadi, R Shrestha, S Sinaei, A Salcines, D Pampliega, ... Proceedings of the 2023 7th International Conference on Cloud and Big Data …, 2023 | 6 | 2023 |
| 6G network for connecting CPS and industrial IoT (IIoT) R Shrestha, A Mishra, R Bajracharya, S Sinaei, S Kim Cyber-Physical Systems for Industrial Transformation, 17-38, 2023 | 5 | 2023 |
| Run-time mapping algorithm for dynamic workloads using association rule mining S Sinaei, O Fatemi Journal of Systems Architecture 91, 1-10, 2018 | 5 | 2018 |
| Balancing privacy and accuracy in federated learning for speech emotion recognition S Mohammadi, M Mohammadi, S Sinaei, A Balador, E Nowroozi, ... 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | 4 | 2023 |
| Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design S Sinaei, O Fatemi The Journal of Supercomputing 75, 4150-4176, 2019 | 4 | 2019 |
| Privacy-preserving federated learning system for fatigue detection M Mohammadi, R Allocca, D Eklund, R Shrestha, S Sinaei 2023 IEEE International Conference on Cyber Security and Resilience (CSR …, 2023 | 3 | 2023 |
| Dais project-distributed artificial intelligence systems: Objectives and challenges A Balador, S Sinaei, M Pettersson, I Kaya ACM SIGAda Ada Letters 42 (2), 96-98, 2023 | 2 | 2023 |
| Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration S Sinaei, AD Pimentel, O Fatemi 2017 12th International Conference on Design & Technology of Integrated …, 2017 | 2 | 2017 |
Mohammadreza MohammadiResearcher at RISE, Swedenri.se의 이메일 확인됨