| TAS:Ternarized Neural Architecture Search for Resource-Constrained Edge Devices M Loni, H Mousavi, M Riazati, M Daneshtalab, M Sjödin Design, Automation and Test in Europe Conference (DATE 2022), 2022 | 21 | 2022 |
| Aadam: a fast, accurate, and versatile aging-aware cell library delay model using feed-forward neural network SM Ebrahimipour, B Ghavami, H Mousavi, M Raji, Z Fang, L Shannon Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 18 | 2020 |
| DASS: Differentiable Architecture Search for Sparse Neural Networks H Mousavi, M Loni, M Alibeigi, M Daneshtalab ACM Transactions on Embedded Computing SystemsVolume 22Issue 5sArticle No …, 2023 | 14* | 2023 |
| Stealthy attack on algorithmic-protected dnns via smart bit flipping B Ghavami, S Movi, Z Fang, L Shannon 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-7, 2022 | 8 | 2022 |
| Analysing Robustness of Tiny Deep Neural Networks H Mousavi, A Zoljodi, M Daneshtalab European Conference on Advances in Databases and Information Systems, 150-159, 2023 | 1 | 2023 |
| FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness S Ali Mousavi, H Mousavi, M Daneshtalab European Conference on Advances in Databases and Information Systems, 133-145, 2023 | 1 | 2023 |
| Efficient On-device Transfer Learning using Activation Memory Reduction A Yoosefi, H Mousavi, M Daneshtalab, M Kargahi 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023 | | 2023 |
| GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques H Mahini, H Mousavi, M Daneshtalab arXiv preprint arXiv:2212.04103, 2022 | | 2022 |
| Training a deep extreme learning machine by integrated structure and efficient learning algorithm for a deep autoencoder. SHR Mousavi, B Ghavami ELECTRONIC INDUSTRIES 11 (2002048), 5-16, 2020 | | 2020 |
Masoud DaneshtalabProfessor, Mälardalen University (Sweden), TalTech (Estonia)Verified email at mdh.se
