| Recent advances in recurrent neural networks H Salehinejad, S Sankar, J Barfett, E Colak, S Valaee arXiv preprint arXiv:1801.01078, 2017 | 801 | 2017 |
| Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks H Salehinejad, S Valaee, T Dowdell, E Colak, J Barfett 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 249 | 2018 |
| Survey of dropout methods for deep neural networks A Labach, H Salehinejad, S Valaee arXiv preprint arXiv:1904.13310, 2019 | 236 | 2019 |
| Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks H Salehinejad, E Colak, T Dowdell, J Barfett, S Valaee IEEE Transactions on Medical Imaging 38 (5), 1197-1206, 2019 | 112 | 2019 |
| Image augmentation using radial transform for training deep neural networks H Salehinejad, S Valaee, T Dowdell, J Barfett 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 92* | 2018 |
| The RSNA pulmonary embolism CT dataset E Colak, FC Kitamura, SB Hobbs, CC Wu, MP Lungren, LM Prevedello, ... Radiology: Artificial Intelligence 3 (2), e200254, 2021 | 83 | 2021 |
| Computing opposition by involving entire population S Rahnamayan, J Jesuthasan, F Bourennani, H Salehinejad, GF Naterer 2014 IEEE congress on evolutionary computation (CEC), 1800-1807, 2014 | 70 | 2014 |
| Dynamic fuzzy logic-ant colony system-based route selection system H Salehinejad, S Talebi Applied Computational Intelligence and Soft Computing, 2010 | 58 | 2010 |
| Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks H Salehinejad, S Valaee ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 55 | 2019 |
| EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks H Salehinejad, S Valaee IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5279-5292, 2022 | 53 | 2022 |
| Customer shopping pattern prediction: A recurrent neural network approach H Salehinejad, S Rahnamayan 2016 IEEE symposium series on computational intelligence (SSCI), 1-6, 2016 | 49 | 2016 |
| Cognitive radio networks spectrum allocation: An ACS perspective F Koroupi, S Talebi, H Salehinejad Scientia Iranica, 2012 | 48 | 2012 |
| Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT EH Lee, J Zheng, E Colak, M Mohammadzadeh, G Houshmand, N Bevins, ... NPJ digital medicine 4 (1), 11, 2021 | 46 | 2021 |
| A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography H Salehinejad, J Kitamura, N Ditkofsky, A Lin, A Bharatha, ... Scientific Reports 11 (1), 17051, 2021 | 45 | 2021 |
| Micro-differential evolution: Diversity enhancement and a comparative study H Salehinejad, S Rahnamayan, HR Tizhoosh Applied Soft Computing 52, 812 - 833, 2017 | 40 | 2017 |
| Recent advances in recurrent neural networks. arXiv 2017 H Salehinejad, S Sankar, J Barfett, E Colak, S Valaee arXiv preprint arXiv:1801.01078, 1801 | 40 | 1801 |
| Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics F Pouladi, H Salehinejad, AM Gilani Developments of E-Systems Engineering (DeSE), 2015 International Conference …, 2015 | 37* | 2015 |
| Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging H Salehinejad, E Ho, HM Lin, P Crivellaro, O Samorodova, MT Arciniegas, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1911-1914, 2021 | 35 | 2021 |
| A new ant algorithm based vehicle navigation system: a wireless networking approach H Salehinejad, S Talebi 2008 International Symposium on Telecommunications, 36-41, 2008 | 35 | 2008 |
| LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels H Salehinejad, S Valaee ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 32 | 2022 |
Shahrokh ValaeeUniversity of Toronto在 ece.utoronto.ca 的电子邮件经过验证
