Muhammad Asim

According to our database, Muhammad Asim authored at least 13 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Detection of Atrial Fibrillation and Normal Sinus Rhythm Using Multiple Machine Learning Classifiers.

Fiaz Majeed, Muhammad Asim, Syed Ali Abbas, Abdul Jaleel, Abdul Majid, Muhammad Awais Hassan, Fayyaz Ahmad, Muhammad Shafiq

J. Medical Imaging Health Informatics, 2021

2020

Blind Image Deconvolution Using Deep Generative Priors.

Muhammad Asim, Fahad Shamshad, Ali Ahmed

IEEE Trans. Computational Imaging, 2020

Augmenting Generative Adversarial Networks for Speech Emotion Recognition.

Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller

Proceedings of the Interspeech 2020, 2020

Invertible generative models for inverse problems: mitigating representation error and dataset bias.

Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Invertible generative models for inverse problems: mitigating representation error and dataset bias.

Muhammad Asim, Ali Ahmed, Paul Hand

CoRR, 2019

Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding.

Muhammad Usman, Siddique Latif, Muhammad Asim, Junaid Qadir

CoRR, 2019

Adversarial Machine Learning Attack on Modulation Classification.

Muhammad Usama, Muhammad Asim, Junaid Qadir, Ala I. Al-Fuqaha, Muhammad Ali Imran

Proceedings of the UK/China Emerging Technologies, 2019

Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems.

Muhammad Usama, Muhammad Asim, Siddique Latif, Junaid Qadir, Ala I. Al-Fuqaha

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Blind Image Deconvolution using Pretrained Generative Priors.

Muhammad Asim, Fahad Shamshad, Ali Ahmed

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising.

Fahad Shamshad, Muhammad Awais, Muhammad Asim, Zain ul Aabidin Lodhi, Muhammad Umair, Ali Ahmed

CoRR, 2018

Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks.

Siddique Latif, Muhammad Asim, Muhammad Usman, Junaid Qadir, Rajib Rana

CoRR, 2018

Solving Bilinear Inverse Problems using Deep Generative Priors.

Muhammad Asim, Fahad Shamshad, Ali Ahmed

CoRR, 2018

2017

Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions.

Muhammad Asim, Fahad Shamshad, Muhammad Awais, Ali Ahmed

Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017