Detection of Atrial Fibrillation and Normal Sinus Rhythm Using Multiple Machine Learning Classifiers.
J. Medical Imaging Health Informatics, 2021
Blind Image Deconvolution Using Deep Generative Priors.
IEEE Trans. Computational Imaging, 2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Invertible generative models for inverse problems: mitigating representation error and dataset bias.
Proceedings of the 37th International Conference on Machine Learning, 2020
Invertible generative models for inverse problems: mitigating representation error and dataset bias.
CoRR, 2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding.
CoRR, 2019
Adversarial Machine Learning Attack on Modulation Classification.
Proceedings of the UK/China Emerging Technologies, 2019
Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Blind Image Deconvolution using Pretrained Generative Priors.
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising.
CoRR, 2018
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks.
CoRR, 2018
Solving Bilinear Inverse Problems using Deep Generative Priors.
CoRR, 2018
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions.
Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017