Publicații în cadrul proiectului

2025

Orășan Paul-Dumitru, Albu Alexandra-Ioana, Czibula Gabriela, Diff-SySC: An approach using diffusion models for semi-supervised image classification, International Conference on Agents and Artificial Intelligence (ICAART 2025) 2025, pp. 132-139 (B-ranked according to CORE classification, indexed WoS)
Eugen Mihuleț, Gabriela Czibula, Ștefan Alexandrescu, Ana-Maria Mardaloescu, Alexandra-Ioana Albu, Mariana-Ioana Maier, Using deep learning for enhancing the performance of ground-based cloud images classification, Studies in Informatics and Control,  34(1) 123-134 March 2025 (WoS journal, Q4)
Orășan Paul-Dumitru, Czibula Gabriela, Albu Alexandra-Ioana, Using diffusion models for enhancing the performance of semi-supervised image classifiers, Lecture notes in Artificial Intelligence, 2025, to be published (WoS – Clarivate Analytics, Conference Proceedings Citation Index)
Sîrbu Alexandru-Gabriel, Gabriela Czibula, Code-ASG: An approach for extracting code embeddings from Abstract Syntax Graphs, 31th International Conference on Cooperative Information Systems, CoopIS 2025, Lecture Notes in Computer Science, vol 15535. Springer, Cham, pp 651–661 (B-ranked according to CORE classification, indexed WoS)

2026

Ștefan Alexandrescu, Gabriela Czibula, Alexandra-Ioana Albu, Eugen Mihuleț,  X-CViT: An explainable vision transformer architecture for classification of cloud images, 15th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2026), pages 175-186.(C-ranked according to CORE classification, indexed WoS) –
Gabriela Czibula, Andrei Mihai, Sîrbu Alexandru-Gabriel, Istvan Gergely Czibula, Eugen Mihuleț, Ioan-Ștefan Gabrian, GEM-Qt: Generating embeddings for meteorological reanalysis data using a quadtree-based approach, 21th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2026), accepted (B-ranked according to CORE classification, indexed WoS)