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 (ISDA, 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 (ISDA, 2020)

Detecting Network Security Vulnerabilities and Proactive Strategies to Mitigate Potential Threats. - Aiman Al-Sabaawi; Thamer A. Alrowidhan (CoRR, 2022)

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 001; et al. (Int. J. Intell. Syst., 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 001; Vinod Chandran; Inmaculada Tomeo-Reyes (Sensors, 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; et al. (J. Big Data, 2023)