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ORCIDMuhammad Asim 0005
Person information
- affiliation: Information Technology University, Department of Electrical Engineering, Lahore, Pakistan
Other persons with the same name
- Muhammad Asim — disambiguation page
- Muhammad Asim 0001
![[0000-0002-2894-7891]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2894-7891")
— National University of Computer and Emerging Sciences, Department of Computer Science, Islamabad, Pakistan (and 1 more) - Muhammad Asim 0002 — Cadet College Wana, South Waziristan, Pakistan (and 1 more)
- Muhammad Asim 0003 — Arctic University of Norway, Department of Physics and Technology, Earth Observation Division, Tromsø, Norway
- Muhammad Asim 0004 — Chung-Ang University, Department of Electrical and Electronics Engineering, Seoul, South Korea
- Muhammad Asim 0006 — Preston University, Department of Computer Science, Peshawar, Pakistan (and 1 more)
- Muhammad Asim 0007 — Eindhoven University of Technology, Healthcare Information Management Department, Netherlands (and 1 more)
- Muhammad Asim 0008 — Qatar University, Department of Computer Science and Engineering, College of Engineering, Doha, Qatar
- Muhammad Asim 0009 — Universiti Teknologi Petronas, Perak, Malaysia
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Journal Articles
- 2021
[j2]Fiaz Majeed, Muhammad Asim, Syed Ali Abbas, Abdul Jaleel, Abdul Majid, Muhammad Awais Hassan, Fayyaz Ahmad, Muhammad Shafiq:
Detection of Atrial Fibrillation and Normal Sinus Rhythm Using Multiple Machine Learning Classifiers. J. Medical Imaging Health Informatics 11(5): 1453-1462 (2021)- 2020
- [j1]Muhammad Asim, Fahad Shamshad, Ali Ahmed:
Blind Image Deconvolution Using Deep Generative Priors. IEEE Trans. Computational Imaging 6: 1493-1506 (2020)
Conference and Workshop Papers
- 2020
- [c6]Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand:
Invertible generative models for inverse problems: mitigating representation error and dataset bias. ICML 2020: 399-409 - [c5]Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. INTERSPEECH 2020: 521-525 - 2019
- [c4]Muhammad Asim, Fahad Shamshad, Ali Ahmed:
Blind Image Deconvolution using Pretrained Generative Priors. BMVC 2019: 205 - [c3]Muhammad Usama, Muhammad Asim, Siddique Latif, Junaid Qadir, Ala I. Al-Fuqaha:
Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems. IWCMC 2019: 78-83 - [c2]Muhammad Usama, Muhammad Asim, Junaid Qadir, Ala I. Al-Fuqaha, Muhammad Ali Imran:
Adversarial Machine Learning Attack on Modulation Classification. UCET 2019: 1-4 - 2017
- [c1]Muhammad Asim, Fahad Shamshad, Muhammad Awais, Ali Ahmed:
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions. ICTD 2017: 32:1-32:5
Informal and Other Publications
- 2020
- [i8]Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. CoRR abs/2005.08447 (2020) - 2019
- [i7]Muhammad Usman, Siddique Latif, Muhammad Asim, Junaid Qadir:
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding. CoRR abs/1902.07430 (2019) - [i6]Muhammad Asim, Ali Ahmed, Paul Hand:
Invertible generative models for inverse problems: mitigating representation error and dataset bias. CoRR abs/1905.11672 (2019) - [i5]Muhammad Asim, Fahad Shamshad, Ali Ahmed:
Blind Image Deconvolution using Pretrained Generative Priors. CoRR abs/1908.07404 (2019) - [i4]Muhammad Usama, Muhammad Asim, Junaid Qadir, Ala I. Al-Fuqaha, Muhammad Ali Imran:
Adversarial Machine Learning Attack on Modulation Classification. CoRR abs/1909.12167 (2019) - 2018
- [i3]Muhammad Asim, Fahad Shamshad, Ali Ahmed:
Solving Bilinear Inverse Problems using Deep Generative Priors. CoRR abs/1802.04073 (2018) - [i2]Siddique Latif, Muhammad Asim, Muhammad Usman, Junaid Qadir, Rajib Rana:
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks. CoRR abs/1811.09750 (2018) - [i1]Fahad Shamshad, Muhammad Awais, Muhammad Asim, Zain ul Aabidin Lodhi, Muhammad Umair, Ali Ahmed:
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising. CoRR abs/1811.12488 (2018)
Coauthor Index
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