MultI-MVQA: A multitask framework for interpretable medical visual question answering. Teodora-Alexandra Toader, Gabriela Czibula, Cristina Mircea. In: Proceedings of the 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES’25), September 2025, Osaka, Japan & KES Virtual Conference Center, DOI: 10.1016/j.procs.2025.09.307.
Evaluating Deep Learning Models for Cross-Platform UI Component Detection: A Study Across Web, Desktop, and Mobile Interfaces. Mădălina Dicu, Camelia Chira. In: Proceedings of the 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES’25), September 2025, Osaka, Japan & KES Virtual Conference Center, DOI: 10.1016/j.procs.2025.09.422.
fMRI Analysis for Alzheimer’s Disease Detection: Traditional vs. Deep Learning Models. Adel Bajcsi, Camelia Chira . In: Proceedings of the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), June 2025, Pavia, Italy, DOI: 10.1007/978-3-031-95838-0_2.
A Hybrid Granular Ball-Ant Colony Optimization for the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem. Yingkai Xu; Anikó Kopacz; Camelia Chira. In: Proceedings of the 2025 IEEE Congress on Evolutionary Computation (CEC 2025), June 2025, Hangzhou, China, DOI: 10.1109/cec65147.2025.11043000.
