Internet traffic classification using Hidden Naive Bayes model F Ghofrani, A Jamshidi, A Keshavarz-Haddad 2015 23rd Iranian conference on electrical engineering, 235-240, 2015 | 21 | 2015 |
Fuzzy-based medical x-ray image classification F Ghofrani, MS Helfroush, M Rashidpour, K Kazemi Journal of Medical Signals & Sensors 2 (2), 73-81, 2012 | 20 | 2012 |
Medical X-ray image classification using Gabor-based CS-local binary patterns F Ghofrani, MS Helfroush, H Danyali, K Kazemi Int Conf Electron Biomed Eng Appl (ICEBEA) 284, 8, 2012 | 11 | 2012 |
A new probabilistic classifier based on decomposable models with application to internet traffic F Ghofrani, A Keshavarz-Haddad, A Jamshidi Pattern Recognition 77, 1-11, 2018 | 10 | 2018 |
Internet traffic classification using multiple classifiers F Ghofrani, A Keshavarz-Haddad, A Jamshidi 2015 7th Conference on Information and Knowledge Technology (IKT), 1-5, 2015 | 7 | 2015 |
Improving the performance of machine learning algorithms using fuzzy-based features for medical x-ray image classification F Ghofrani, MS Helfroush, H Danyali, K Kazemi Journal of Intelligent & Fuzzy Systems 27 (6), 3169-3180, 2014 | 5 | 2014 |
A modified approach for image compression based on fuzzy transform F Ghofrani, MS Helfroush 2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011 | 3 | 2011 |
Rethinking Robust Contrastive Learning from the Adversarial Perspective F Ghofrani, M Yaghouti, P Jamshidi arXiv preprint arXiv:2302.02502, 2023 | 2 | 2023 |
An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning F Ghofrani, P Jamshidi arXiv preprint arXiv:2501.03507, 2025 | | 2025 |
On the Role of Contrastive Representation Learning in Adversarial Robustness: An Empirical Study. F Ghofrani, M Yaghouti, P Jamshidi CoRR, 2023 | | 2023 |
Modifying ARPS method by use of global motion information for fast and precise motion estimation M Fani, F Ghofrani, M Yazdi 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2015 | | 2015 |