Aiman Al-Sabaawi

According to our database, Aiman Al-Sabaawi authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.

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

J. Big Data, December, 2023

Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape.

Khamael Al-Dulaimi, Jasmine Banks, Aiman Al-Sabaawi, Kien Nguyen, Vinod Chandran, Inmaculada Tomeo-Reyes

Sensors, February, 2023

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements.

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

Int. J. Intell. Syst., 2023

2022

Detecting Network Security Vulnerabilities and Proactive Strategies to Mitigate Potential Threats.

Aiman Al-Sabaawi, Thamer A. Alrowidhan

CoRR, 2022

2020

Amended Convolutional Neural Network with Global Average Pooling for Image Classification.

Aiman Al-Sabaawi, Hassan M. Ibrahim, Zinah Mohsin Arkah, Muthana Al-Amidie, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2020

Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study.

Aiman Al-Sabaawi, Reem Ibrahim Hasan, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi

Proceedings of the Intelligent Systems Design and Applications, 2020