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Aiman Al-Sabaawi
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2020 – today
- 2023
- [j3]Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, Ammar Dukhan, Ahmed H. Alkenani, Ahmed Al-Asadi, Haider A. Alwzwazy, Mohamed Manoufali, Mohammed A. Fadhel, Ahmed Shihab Albahri, Catarina Moreira, Chun Ouyang, Jinglan Zhang, José Santamaría, Asma Salhi, Freek Hollman, Ashish Gupta, Ye Duan, Timon Rabczuk, Amin M. Abbosh, Yuantong Gu:
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. Int. J. Intell. Syst. 2023: 1-41 (2023) - [j2]Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, José Santamaría, Ahmed Shihab Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin M. Abbosh, Yuantong Gu:
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. J. Big Data 10(1): 46 (2023) - [j1]Khamael Al-Dulaimi, Jasmine Banks, Aiman Al-Sabaawi, Kien Nguyen, Vinod Chandran, Inmaculada Tomeo-Reyes:
Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape. Sensors 23(4): 2195 (2023) - 2022
- [i1]Aiman Al-Sabaawi, Thamer A. Alrowidhan:
Detecting Network Security Vulnerabilities and Proactive Strategies to Mitigate Potential Threats. CoRR abs/2212.11449 (2022) - 2020
- [c2]Aiman Al-Sabaawi, Hassan M. Ibrahim, Zinah Mohsin Arkah, Muthana Al-Amidie, Laith Alzubaidi:
Amended Convolutional Neural Network with Global Average Pooling for Image Classification. ISDA 2020: 171-180 - [c1]Aiman Al-Sabaawi, Reem Ibrahim Hasan, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi:
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study. ISDA 2020: 181-189
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