- Konstantina Chrysafiadi, Maria Virvou, George A. Tsihrintzis, Ioannis Hatzilygeroudis. An Adaptive Learning Environment for Programming Based on Fuzzy Logic and Machine Learning. International Journal on Artificial Intelligence Tools, 32(5), August 2023.
- M. Ravinder, Kiran Malik, M. Hassaballah 0001, Usman Tariq, Kashif Javed, Mohamed Ghoneimy. An Approach for Gesture Recognition Based on a Lightweight Convolutional Neural Network. International Journal on Artificial Intelligence Tools, 32(3), May 2023.
- Kiran Ilyas, Irfan Younas. Enhancing Dynamic Multi-objective Optimization Using Opposition-based Learning and Simulated Annealing. International Journal on Artificial Intelligence Tools, 32(4), June 2023.
- Berk Bekiroglu, Bogdan Korel. Neural Network-based Tool for Survivability Assessment of K-variant Systems. International Journal on Artificial Intelligence Tools, 32(4), June 2023.
- Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk. Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. International Journal on Artificial Intelligence Tools, 32(5), August 2023.
- Sweta Panigrahi, U. S. N. Raju. DSM-IDM-YOLO: Depth-wise Separable Module and Inception Depth-wise Module Based YOLO for Pedestrian Detection. International Journal on Artificial Intelligence Tools, 32(4), June 2023.
- Ricardo A. Calix, Leili Javadpour. Unexpectedness as a Measure of Semantic Learning When Training Transformer Models. International Journal on Artificial Intelligence Tools, 32(1), February 2023.
- V. V. S. Sasank, Somu Venkateswarlu. Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images. International Journal on Artificial Intelligence Tools, 32(4), June 2023.
- Mengyao Zhao, Zhengping Hu, Shufang Li, Zhe Sun. Dual Stream Conditional Generative Adversarial Network Fusion for Video Abnormal Behavior Detection. International Journal on Artificial Intelligence Tools, 32(1), February 2023.
- Min Yang, Austin Lin Yee, Jiafeng Yu. Ultrasound Image Segmentation and Classification of Benign and Malignant Thyroid Nodules on the Basis of Deep Learning. International Journal on Artificial Intelligence Tools, 32(2), March 2023.