| 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 | 104 | 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 | 29 | 2019 |
| Faststereonet: A fast neural architecture search for improving the inference of disparity estimation on resource-limited platforms M Loni, A Zoljodi, A Majd, BH Ahn, M Daneshtalab, M Sjödin, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (8), 5222-5234, 2021 | 25 | 2021 |
| Densedisp: Resource-aware disparity map estimation by compressing siamese neural architecture M Loni, A Zoljodi, D Maier, A Majd, M Daneshtalab, M Sjödin, B Juurlink, ... 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 14 | 2020 |
| 3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab 31st International Conference on Artificial Neural Networks 1, 404, 2022 | 6 | 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 |
| TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction AA Sharifi, A Zoljodi, M Daneshtalab arXiv preprint arXiv:2403.11695, 2024 | | 2024 |
| TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction A Asghar Sharifi, A Zoljodi, M Daneshtalab arXiv e-prints, arXiv: 2403.11695, 2024 | | 2024 |
| Contrastive Learning for Lane Detection via cross-similarity A Zoljodi, S Abadijou, M Alibeigi, M Daneshtalab arXiv preprint arXiv:2308.08242, 2023 | | 2023 |
Masoud DaneshtalabProfessor, Mälardalen University (Sweden), TalTech (Estonia)Verified email at mdh.se
