A review on deep learning methods for ECG arrhythmia classification Z Ebrahimi, M Loni, M Daneshtalab, A Gharehbaghi Expert Systems with Applications: X 7, 100033, 2020 | 466 | 2020 |
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 | 121 | 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 |
Tot-net: An endeavor toward optimizing ternary neural networks N Nazari, M Loni, ME Salehi, M Daneshtalab, M Sjodin 2019 22nd Euromicro Conference on Digital System Design (DSD), 305-312, 2019 | 28 | 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 | 27 | 2021 |
TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices M Loni, H Mousavi, M Riazati, M Daneshtalab, M Sjödin Design, Automation & Test in Europe Conference & Exhibition DATE'22, 14 Mar …, 2022 | 26 | 2022 |
Sofa: A spark-oriented fog architecture N Maleki, M Loni, M Daneshtalab, M Conti, H Fotouhi IECON 2019-45th annual conference of the ieee industrial electronics society …, 2019 | 22 | 2019 |
Improving motion safety and efficiency of intelligent autonomous swarm of drones A Majd, M Loni, G Sahebi, M Daneshtalab Drones 4 (3), 48, 2020 | 21 | 2020 |
ADONN: adaptive design of optimized deep neural networks for embedded systems M Loni, M Daneshtalab, M Sjödin 2018 21st Euromicro Conference on Digital System Design (DSD), 397-404, 2018 | 21 | 2018 |
Designing compact convolutional neural network for embedded stereo vision systems M Loni, A Majd, A Loni, M Daneshtalab, M Sjödin, E Troubitsyna 2018 IEEE 12th International Symposium on Embedded Multicore/Many-core …, 2018 | 16 | 2018 |
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 | 15 | 2020 |
Multi-objective optimization of real-time task scheduling problem for distributed environments M Salimi, A Majd, M Loni, T Seceleanu, C Seceleanu, M Sirjani, ... Proceedings of the 6th Conference on the Engineering of Computer Based …, 2019 | 10 | 2019 |
Learning activation functions for sparse neural networks M Loni, A Mohan, M Asadi, M Lindauer International Conference on Automated Machine Learning 224, 16/1-19, 2023 | 9 | 2023 |
PR-DARTS: Pruning-based differentiable architecture search H Mousavi, M Loni, M Alibeigi, M Daneshtalab arXiv preprint arXiv:2207.06968, 2022 | 9 | 2022 |
DASS: differentiable architecture search for sparse neural networks H Mousavi, M Loni, M Alibeigi, M Daneshtalab ACM Transactions on Embedded Computing Systems 22 (5s), 1-21, 2023 | 8 | 2023 |
3dlanenas: Neural architecture search for accurate and light-weight 3d lane detection A Zoljodi, M Loni, S Abadijou, M Alibeigi, M Daneshtalab International Conference on Artificial Neural Networks, 404-415, 2022 | 7 | 2022 |
Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System N Vidimlic, A Levin, M Loni, M Daneshtalab Proceedings of the 16th International Joint Conference on Computer Vision …, 2021 | 6 | 2021 |
Learning activation functions for adversarial attack resilience in cnns M Salimi, M Loni, M Sirjani International Conference on Artificial Intelligence and Soft Computing, 203-214, 2023 | 5 | 2023 |
Saraf: Searching for adversarial robust activation functions M Salimi, M Loni, M Sirjani, A Cicchetti, S Abbaspour Asadollah Proceedings of the 2023 6th International Conference on Machine Vision and …, 2023 | 5 | 2023 |
Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan. A Ghaderi, M Daneshtalab, M Ashjaei, M Loni, S Mubeen, M Sjödin CPS Summer School, PhD Workshop, 29-38, 2019 | 4 | 2019 |