{"id":45,"date":"2021-02-09T13:39:13","date_gmt":"2021-02-09T13:39:13","guid":{"rendered":"http:\/\/www.cs.ubbcluj.ro\/windmil\/?page_id=45"},"modified":"2026-04-29T15:50:19","modified_gmt":"2026-04-29T15:50:19","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.cs.ubbcluj.ro\/windmil\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h3 id=\"block-eff363fe-0675-4b2d-b53e-58f001526382\">Publications within the project<\/h3>\n\n\n\n<h4>2025<\/h4>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td>Or\u0103\u0219an Paul-Dumitru, Albu Alexandra-Ioana<strong>, <\/strong>Czibula Gabriela, <em><a href=\"https:\/\/www.scitepress.org\/Papers\/2025\/130971\/130971.pdf\">Diff-SySC: An approach using diffusion models for semi-supervised image classification<\/a><\/em>, International Conference on Agents and Artificial Intelligence (ICAART 2025) 2025, pp. 132-139 (<strong>B-ranked according to CORE classification, indexed WoS<\/strong>)<\/td><\/tr><tr><td>Eugen Mihule\u021b, Gabriela Czibula, \u0218tefan Alexandrescu, Ana-Maria Mardaloescu, Alexandra-Ioana Albu, Mariana-Ioana Maier, <em><a href=\"https:\/\/sic.ici.ro\/vol-34-no-1-2025\/using-deep-learning-for-enhancing-the-performance-of-ground-based-cloud-images-classification\/\">Using deep learning for enhancing the performance of ground-based cloud images classification<\/a><\/em>, Studies in Informatics and Control,&nbsp; 34(1) 123-134 March 2025<strong> (WoS journal, Q4<\/strong>)<\/td><\/tr><tr><td>Or\u0103\u0219an Paul-Dumitru, Czibula Gabriela, Albu Alexandra-Ioana, <em>Using diffusion models for enhancing the performance of semi-supervised image classifiers<\/em>, Lecture notes in Artificial Intelligence, 2025, to be published (<strong>WoS &#8211; Clarivate Analytics, Conference Proceedings Citation Index<\/strong>)<\/td><\/tr><tr><td>S\u00eerbu Alexandru-Gabriel, Gabriela Czibula<strong>,<\/strong> <em>Code-ASG: An approach for extracting code embeddings from Abstract Syntax Graphs<\/em>, 31th International Conference on Cooperative Information Systems, CoopIS 2025, Lecture Notes in Computer Science, vol 15535. Springer, Cham, pp 651\u2013661 (<strong>B-ranked according to CORE classification, indexed WoS)<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<h4>2026<\/h4>\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td>\u0218tefan Alexandrescu, Gabriela Czibula, Alexandra-Ioana Albu, Eugen Mihule\u021b,&nbsp; <em>X-CViT: <a href=\"https:\/\/www.scitepress.org\/Papers\/2026\/145849\/145849.pdf\">An explainable vision transformer architecture for classification of cloud images<\/a><\/em>, 15<sup>th<\/sup> International Conference on Pattern Recognition Applications and Methods (ICPRAM 2026), pages 175-186.(<strong>C-ranked according to CORE classification, indexed WoS) &#8211; <\/strong><\/td><\/tr><tr><td>Gabriela Czibula, Andrei Mihai, S\u00eerbu Alexandru-Gabriel, Istvan Gergely Czibula, Eugen Mihule\u021b, Ioan-\u0218tefan Gabrian, <em>GEM-Qt: Generating embeddings for meteorological reanalysis data using a quadtree-based approach<\/em>, 21th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2026), accepted (<strong>B-ranked according to CORE classification, indexed WoS)<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Publications within the project 2025 Or\u0103\u0219an Paul-Dumitru, Albu Alexandra-Ioana, Czibula Gabriela, Diff-SySC: An approach using diffusion models for semi-supervised image&hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/pages\/45"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/comments?post=45"}],"version-history":[{"count":31,"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/pages\/45\/revisions"}],"predecessor-version":[{"id":551,"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/pages\/45\/revisions\/551"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/windmil\/wp-json\/wp\/v2\/media?parent=45"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}