Ioana-Gabriela Chelaru – “An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects<\/a><\/em>” (video<\/a>), The 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023)<\/p>\n\n\n\n Anamaria Briciu – “A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers<\/a><\/em>” (video<\/a>) The 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023)<\/p>\n\n\n\n Mihaiela Lupea, Anamaria Briciu, Istvan-Gergely Czibula, Gabriela Czibula \u2013 \u201cSoftId: An autoencoder-based one-class classification model for software authorship identification<\/a><\/em>\u201c (video<\/a>), 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2022), September 7-9, 2022.<\/p>\n\n\n\n Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea \u2013 \u201cAutoAt: A deep autoencoder-based classification model for supervised authorship attribution<\/a><\/em>\u201c (video<\/a>), 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021), September 8-10, 2021.<\/p>\n\n\n\n Vlad-Ioan Tomescu, Gabriela Czibula, \u0218tefan Ni\u021bic\u0103 \u2013 \u201cA study on using deep autoencoders for imbalanced binary classification<\/a><\/em>\u201c (video<\/a>), 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021), September 8-10, 2021.<\/p>\n\n\n\n George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula \u2013 \u201cEnhancing the performance of image classification through features automatically learned from depth-maps<\/em><\/a>\u201c, 13th International Conference on Computer Vision Systems, September 22-24, 2021.<\/p>\n\n\n\n2022<\/h3>\n\n\n\n
2021<\/h3>\n\n\n\n