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Research group on MACHINE LEARNING

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

1. Czibula, I.G., Czibula, G, Miholca, D.L., Oneț-Marian, Zs., An aggregated coupling measure for the analysis of object-oriented software systems, Journal of Systems and Software, Volume 148, pp. 1-20, 2019 (WoS, Q1)
2. Czibula, G., Czibula, I.G. Miholca, D.L, Crivei, M.L., A novel concurrent relational association rule mining approach, Expert systems with Applications, Vol. 125, pp. 142-156, 2019 (WoS, Q1)
3. G. Czibula, A. Mihai, L.M. Crivei, SPRAR: A novel relational association rule mining classification model applied for academic performance prediction, 23nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2019), Procedia Computer Science Vol 159, (2019) pp. 20-29, DOI information: 10.1016/j.procs.2019.09.156 (indexed WoS)
4. V.S. Ionescu, Z. Marian-Oneț, G. Czibula, M.G. Bădiță, M.I. Popescu, J.S. Dibangoye, O. Simonin, DynFlor: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling, 23nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2019), Procedia Computer Science Vol 159, (2019) pp. 97-106 (indexed WoS)
5. D.L. Miholca, G. Czibula, DynGRAR: A dynamic approach to mining gradual relational association rules, 23nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2019), Procedia Computer Science Vol 159, (2019) pp. 10-19 (indexed WoS)
6. G. Czibula, A. Mihai, E. Mihuleț, D. Teodorovici, Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes, 23nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2019), Procedia Computer Science Vol 159, (2019) pp. 48-57 (indexed WoS)
7. Liana Crivei, G. Czibula, Andrei Mihai, A study on applying relational association rule mining based classification for predicting the academic performance of students, KSEM 2019 : The 12th International Conference on Knowledge Science, Engineering and Management, LNAI 11775, 2019, pp. 287-300. (indexed WoS)
8. Silvana Albert, G. Czibula, ProteinA: An approach for analyzing and visualizing protein conformational transitions using fuzzy and hard clustering techniques KSEM 2019: The 12th International Conference on Knowledge Science, Engineering and Management, LNAI, volume 11775, 2019, pp. 249-261 (indexed WoS)
9. M. Teletin, G. Czibula, C. Codre, AutoSimP: An approach for predicting proteins' structural similarities using an ensemble of deep autoencoders, KSEM 2019 : The 12th International Conference on Knowledge Science, Engineering and Management, LNAI 11776, pp. 49–54, 2019 (indexed WoS)
10. D. L. Miholca, G. Czibula, Software defect prediction using a hybrid model based on semantic features learned from the source code, KSEM 2019 : The 12th International Conference on Knowledge Science, Engineering and Management, LNAI, volume 11775, 2019, pp. 262-274 (indexed WoS)
11. A. Mihai, G. Czibula, E. Mihuleț, Analyzing Meteorological Data Using Unsupervised Learning Techniques, ICCP 2019: Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2019, Cluj-Napoca, Romania, IEEE Computer Society Press, pp. 529 – 536 (indexed WoS)
12. M. Teletin, G. Czibula, M.I. Bocicor, Using clustering models for uncovering proteins' structural similarity, IEEE 13th International Symposium on Applied Computational Intelligence and Informatics, SACI 2019, Timișoara, pp. 185-190 (indexed IEEE)
13. L. M. Crivei, V.S. Ionescu, G. Czibula, An analysis of supervised learning methods for predicting students' performance in academic environments, ICIC Express Letters, Volume 13, Issue 3, March 2019, pp. 181-190 (indexed Scopus)
14. Gabriel Berecz, Istvan Gergely Czibula, Hunting Traits for Cryptojackers, Proceedings of the 16th International Conference on Security and Criptography, Prague, Czech Republic, Volume 2: SECRYPT, pp. 386-393, 2019
15. Istvan Gergely Czibula, Zsuzsanna Marian, Robert-Francisc Vida, Automatic algorithmic complexity determination using dynamic program analysis, Proceedigs of ICSOFT 2019, International Conference on Software Technologies, Prague, Czech Republic, Volume 1, pp. 186-193, 2019
16. I. Szuhai, M. I. Bocicor, E. Pop, I. Mircea and C. Mircea, "Investigating Differences between Ancient and Modern Bacterial DNA in Dental Calculus via Autoencoders," 2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2019, pp. 141-147, doi: 10.1109/SYNASC49474.2019.00027.
17. I. Marin, Bocicor, M.I and Molnar A., Indoor Localisation with Intelligent Luminaires for Home Monitoring, 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019, vol. 1, pp. 464-471
18. Anamaria Briciu. Quantitative Analysis of Style in Mihai Eminescu’s Poetry. Studia Universitatis Babeș-Bolyai Informatica, v. 64, n. 2, pp. 80–95, 2019
19. Mariana Dindelegan (2018). Digital and Coding Literacy for School Students. StudiaUBB Digitalia, Volume 63 (LXIII) 2018, June, Issue 1, 55-68.
20. Mihaiela Lupea and Anamaria Briciu. Studying emotions in Romanian words using formalconcept analysis. Computer Speech & Language, v. 57, pp. 128–145, 2019