| Application of credit card fraud detection: Based on bagging ensemble classifier M Zareapoor, S Pourya Procedia Computer Science 48, 679-685, 2015 | 473 | 2015 |
| Hybrid Deep Neural Networks for Face Emotion Recognition N Jain, S Kumar, A Kumar, P Shamsolmoali, M Zareapoor Pattern Recognition Letter, 2019 | 339 | 2019 |
| Fraudminer: A novel credit card fraud detection model based on frequent itemset mining KR Seeja, M Zareapoor The Scientific World Journal 2014 (1), 252797, 2014 | 212 | 2014 |
| Image synthesis with adversarial networks: A comprehensive survey and case studies P Shamsolmoali, M Zareapoor, E Granger, H Zhou, R Wang, ME Celebi, ... Information Fusion 72, 126-146, 2021 | 179 | 2021 |
| Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery P Shamsolmoali, M Zareapoor, J Chanussot, H Zhou, J Yang IEEE Transactions on Geoscience and Remote Sensing 60, 2021 | 177* | 2021 |
| Analysis on Credit Card Fraud Detection Techniques: Based on Certain Design Criteria M Zareapoor, KR Seeja, MA Alam Foundation of Computer Science 52 (3), 2013 | 168 | 2013 |
| Feature extraction or feature selection for text classification: A case study on phishing email detection M Zareapoor, KR Seeja International Journal of Information Engineering and Electronic Business 7 …, 2015 | 139 | 2015 |
| A novel deep structure u-net for sea-land segmentation in remote sensing images P Shamsolmoali, M Zareapoor, R Wang, H Zhou, J Yang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 137 | 2019 |
| Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks P Shamsolmoali, M Zareapoor, H Zhou, R Wang, J Yang IEEE Transactions on Geoscience and Remote Sensing, 2020 | 136 | 2020 |
| Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis M Zareapoor, P Shamsolmoali, J Yang Mechanical Systems and Signal Processing, 2020 | 122 | 2020 |
| Deep Learning based Small Surface Defect Detection via Exaggerated Local Variation-based Generative Adversarial Network J Lian, W Jia, M Zareapoor, Y Zheng, R Luo, Jain IEEE Transactions on Industrial Informatics, 2019 | 120 | 2019 |
| Kernelized support vector machine with deep learning: an efficient approach for extreme multiclass dataset M Zareapoor, P Shamsolmoali, DK Jain, H Wang, J Yang Pattern Recognition Letter, 2017 | 97 | 2017 |
| Pattern Recognit AK Jain, S Kumar, A Kumar, P Shamsolmoali, M Zareapoor Lett 31, 651-666, 2019 | 92* | 2019 |
| Multi-scale convolutional neural network for multi-focus image fusion HT Mustafa, J Yang, M Zareapoor Image and Vision Computing, 2019 | 92 | 2019 |
| Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks P Shamsolmoali, M Zareapoor, L Shen, AH Sadka, J Yang arXiv preprint arXiv:2004.02182, 2020 | 79 | 2020 |
| G-GANISR: Gradual generative adversarial network for image super resolution P Shamsolmoali, M Zareapoor, R Wang, DK Jain, J Yang Neurocomputing 366, 140-153, 2019 | 72 | 2019 |
| Statistical-based filtering system against DDOS attacks in cloud computing P Shamsolmoali, M Zareapoor 2014 8th International Conference on Communications and Informatics, 1234-1239, 2014 | 64 | 2014 |
| Deep convolution network for surveillance records super-resolution P Shamsolmoali, M Zareapoor, DK Jain, VK Jain, J Yang Multimedia Tools and Applications, 1-15, 2018 | 61 | 2018 |
| Image super resolution by dilated dense progressive network P Shamsolmoali, M Zareapoor, J Zhang, J Yang Image and Vision Computing 88, 9-18, 2019 | 53 | 2019 |
| Multipatch feature pyramid network for weakly supervised object detection in optical remote sensing images P Shamsolmoali, J Chanussot, M Zareapoor, H Zhou, J Yang IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 47 | 2021 |
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