Research group on MACHINE LEARNING

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

1. Gabriela Czibula, Vlad-Sebastian Ionescu, Diana-Lucia Miholca, Ioan-Gabriel Mircea, Machine learning based approaches for predicting stature of archaeological skeletal remains from long bone lengths, Journal of Archaeological Science, vol. 65, pp. 85-99, 2016 (WoS)
2. Czibula, I.G., Czibula, G., Marian, Zs., A Novel Approach Using Fuzzy Self-Organizing Maps for Detecting Software Faults, Studies in Informatics and Control, ISSN 1220-1766, vol. 25 (2), pp.207-216, 2016 (WoS)
3. Alex Graudenzi, Giulio Caravagna, Iuliana M. Bocicor, Claudia Cava, Marco Antoniotti, Giancarlo Mauri. Ordering cancer mutational profiles of cross-sectional copy number alterations. International Journal of Data Mining and Bioiformatics, vol. 15, no. 1, pp. 59-83, 2016. (WoS)
4. Vlad-Sebastian Ionescu, Mihai Teletin and Estera-Maria Voiculescu, Machine learning techniques for age at death estimation from long bone lengths, In IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI 2016), IEEE Hungary Section, pp. 457-462, 2016. (WoS Proceedings)
5. I.G. Mircea. A fuzzy decision tree based method for skeletal sex determination. In Proceedings of the Symposium on Applied Computational Intelligence, Timisoara, Romania, pp. 447-452, 2016 (WoS Proceedings)
6. Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, Istvan Gergely Czibula, Novel data mining approaches for gender detection of human skeletal remains, Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'16), Timisoara, Romania, IEEE Computer Society Press, pp. 311-314 (WoS Proceedings)
7. Zsuzsanna Marian, Ioan-Gabriel Mircea, Istvan-Gergely Czibula and Gabriela Czibula, A novel approach for software defect prediction using fuzzy decision trees, Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'16), Timisoara, Romania, IEEE Computer Society Press, pp. 240-247 (WoS Proceedings)