| Biased data, biased AI: deep networks predict the acquisition site of TCGA images T Dehkharghanian, AA Bidgoli, A Riasatian, P Mazaheri, CJV Campbell, ... Diagnostic pathology 18 (1), 67, 2023 | 69 | 2023 |
| Semisupervised hyperspectral image classification using a probabilistic pseudo-label generation framework M Seydgar, S Rahnamayan, P Ghamisi, AA Bidgoli IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022 | 46 | 2022 |
| Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection AA Bidgoli, H Ebrahimpour-Komleh, S Rahnamayan Information Sciences 547, 1-17, 2021 | 46 | 2021 |
| Machine learning-based framework to cover optimal pareto-front in many-objective optimization A Asilian Bidgoli, S Rahnamayan, B Erdem, Z Erdem, A Ibrahim, K Deb, ... Complex & Intelligent Systems 8 (6), 5287-5308, 2022 | 36 | 2022 |
| Tackling deceptive optimization problems using opposition-based DE with center-based Latin hypercube initialization SJ Mousavirad, AA Bidgoli, S Rahnamayan 2019 14th International Conference on Computer Science & Education (ICCSE …, 2019 | 30 | 2019 |
| Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology AA Bidgoli, S Rahnamayan, T Dehkharghanian, A Riasatian, S Kalra, ... Artificial Intelligence in Medicine 132, 102368, 2022 | 28 | 2022 |
| Seminal Quality Prediction using Optimized Artificial Neural Network with Genetic Algorithm AA Bidgoli, HE Komleh, S Mousavirad International Conference on Electrical and Electronics Engineering, 2015 | 28 | 2015 |
| A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training SJ Mousavirad, AA Bidgoli, HE Komleh, G Schaefer International Journal of Bio-Inspired Computation 14 (4), 227-236, 2019 | 27 | 2019 |
| A novel multi-objective binary differential evolution algorithm for multi-label feature selection AA Bidgoli, H Ebrahimpour-Komleh, S Rahnamayan 2019 IEEE Congress on Evolutionary Computation (CEC), 1588-1595, 2019 | 26 | 2019 |
| Bias reduction in representation of histopathology images using deep feature selection A Asilian Bidgoli, S Rahnamayan, T Dehkharghanian, A Grami, ... Scientific reports 12 (1), 19994, 2022 | 25 | 2022 |
| Evolutionary computation in action: Hyperdimensional deep embedding spaces of gigapixel pathology images AA Bidgoli, S Rahnamayan, T Dehkharghanian, A Riasatian, ... IEEE Transactions on Evolutionary Computation 27 (1), 52-66, 2022 | 23 | 2022 |
| An evolutionary decomposition-based multi-objective feature selection for multi-label classification AA Bidgoli, H Ebrahimpour-Komleh, S Rahnamayan PeerJ Computer Science 6, e261, 2020 | 22 | 2020 |
| A many-objective feature selection algorithm for multi-label classification based on computational complexity of features AA Bidgoli, H Ebrahimpour-Komleh, S Rahnamayan 2019 14th International Conference on Computer Science & Education (ICCSE …, 2019 | 20 | 2019 |
| CGDE3: An efficient center-based algorithm for solving large-scale multi-objective optimization problems H Hiba, AA Bidgoli, A Ibrahim, S Rahnamayan 2019 IEEE Congress on Evolutionary Computation (CEC), 350-358, 2019 | 20 | 2019 |
| An effective hybrid approach for optimising the learning process of multi-layer neural networks SJ Mousavirad, AA Bidgoli, H Ebrahimpour-Komleh, G Schaefer, I Korovin International symposium on neural networks, 309-317, 2019 | 19 | 2019 |
| Selection, Visualization and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma T Dehkharghanian, S Rahnamayan, A Riasatian, A Asilian Bidgoli, ... The American Journal of Pathology, 2021 | 18 | 2021 |
| A novel binary many-objective feature selection algorithm for multi-label data classification A Asilian Bidgoli, H Ebrahimpour-komleh, S Rahnamayan International Journal of Machine Learning and Cybernetics, 2021 | 18 | 2021 |
| Opposition-based multi-objective binary differential evolution for multi-label feature selection A Asilian Bidgoli, S Rahnamayan, H Ebrahimpour-Komleh international conference on evolutionary multi-criterion optimization, 553-564, 2019 | 18 | 2019 |
| Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs M Askari, M Asadi, A Asilian Bidgoli, H Ebrahimpour Journal of AI and Data Mining 4 (1), 9-17, 2016 | 15 | 2016 |
| A novel collective crossover operator for genetic algorithms B Kiraz, AA Bidgoli, H Ebrahimpour-Komleh, S Rahnamayan 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 13 | 2020 |
Shahryar Rahnamayan, PhD, PEng, S...Professor and Chair, Engineering Department, Brock University, CanadaVerified email at brocku.ca
