Research group on MACHINE LEARNING

Faculty of Mathematics and Computer Science, Babes-Bolyai University, Romania

1. Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula, MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction, Computers in biology and medicine, Vol. 153, 106526, 2023 (WoS, Q1)
2. Burcea, S., Mihuleț, E., Mihai, A., Czibula, G., Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data, Atmosphere, Special Issue Special Issue "Precipitation Observations and Prediction ", 14(1):182, 2023 (WoS, Q2)
3. Mariana Maier, Gabriela Czibula, Lavinia Delean, Using unsupervised learning for mining behavioural patterns from data. A case study for the baccalaureate exam in Romania, Studies in Informatics and Control vol. 32(2), pp. 73-84, 2023 (WoS, Q4)
4. George Ciubotariu, Gabriela Czibula, Istvan Gergely Czibula, Ioana-Gabriela Chelaru, Uncovering behavioural patterns of one- and binary-class SVM-based software defect predictors, In Proceedings of the 18th International Conference on Software Technologies - ICSOFT; 2023, ISBN 978-989-758-665-1; ISSN 2184-2833, SciTePress, pages 249-257 (WoS Proceedings)
5. Adelin Mihoc, Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Gabriela Czibula, Eugen Mihuleț, Trygve Aspenes, ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023), Procedia Computer Science, Volume 225, 2023, Pages 298-307 (WoS Proceedings)
6. Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea, A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023), Procedia Computer Science, Volume 225, 2023, Pages 1601-1610 (WoS Proceedings)
7. Gabriela Czibula, Ioana-Gabriela Chelaru, Istvan Gergely Czibula, Arthur Molnar, An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023), Procedia Computer Science, Volume 225, 2023, Pages 2644-2653 (WoS Proceedings)
8. Imre-Gergely Mali, Gabriela Czibula, Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game, The 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2023), pp. 345-350 (WoS Proceedings)
9. Paul-Dumitru Orășan, Gabriela Czibula, Im2Vide0: A Zero-Shot approach using diffusion models for natural language conditioned Image-to-Video, 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing, 2023, pp. 389 - 396 (WoS Proceedings)
10. Casian Marincaș, Gabriela Czibula, A Generative Modelling-based Approach for Text-to-Speech Synthesis in Romanian Language, 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing, 2023, pp. 323 – 330 (WoS Proceedings)
11. Alexandra-Ioana Albu, Improving radar echo extrapolation models using autoencoder-based perceptual losses, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023), 2023, Volume 225, Pages 1611-1620 (WoS Proceedings)
12. Zsuzsanna Marian-Oneț, Diana-Lucia Miholca – “Source-code embedding-based software defect prediction“, In Proceedings of the 18th International Conference on Software Technologies – ICSOFT, pp. 185-196 (WoS Proceedings)
13. Alexandru-Gabriel Sirbu, Cyber vulnerabilities surveillance via web-scraped specialized documents. Proceedings of the 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), IEEE Computer Society, pages 308-315, 2023 (WoS Proceedings)
14. Imre-Gergely Mali, Gabriela Czibula, Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game, The 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2023), pp. 345-350
15. Alexandra-Ioana Albu, Temporal ensembling-based deep k-nearest neighbours for learning with noisy labels, The 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2023), pp. 483-488
16. Alexandru-Gabriel Sirbu, Deobfuscating JavaScript Code Using Character-Based Tokenization. Studia Universitatis Babeș-Bolyai Informatica, pages 5-21, 2023 (indexed Mathematical Reviews)
17. Teodora-Alexandra Toader}, DOMAS: DATA ORIENTED MEDICAL VISUAL QUESTION ANSWERING USING SWIN TRANSFORMER}. Studia Universitatis Babeș-Bolyai Informatica, 68(1), 2023, 55–70. (indexed Mathematical Reviews)