Software defect prediction using relational association rule mining G Czibula, Z Marian, IG Czibula Information Sciences 264, 260-278, 2014 | 199 | 2014 |
A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks DL Miholca, G Czibula, IG Czibula Information Sciences 441, 152-170, 2018 | 122 | 2018 |
Detecting software design defects using relational association rule mining G Czibula, Z Marian, IG Czibula Knowledge and Information Systems 42, 545-577, 2015 | 69 | 2015 |
Aspect mining using a vector-space model based clustering approach GS Moldovan, G Serban Proceedings of Linking Aspect Technology and Evolution (LATE) Workshop, 36-40, 2006 | 61 | 2006 |
Improving systems design using a clustering approach IG Czibula, G Serban IJCSNS International Journal of Computer Science and Network Security 6 (12 …, 2006 | 50 | 2006 |
S PRAR: A novel relational association rule mining classification model applied for academic performance prediction G Czibula, A Mihai, LM Crivei Procedia Computer Science 159, 20-29, 2019 | 49 | 2019 |
IPA-An intelligent personal assistant agent for task performance support G Czibula, AM Guran, IG Czibula, GS Cojocar 2009 IEEE 5th International Conference on Intelligent Computer Communication …, 2009 | 44 | 2009 |
A novel concurrent relational association rule mining approach G Czibula, IG Czibula, DL Miholca, LM Crivei Expert Systems with Applications 125, 142-156, 2019 | 43 | 2019 |
A new k-means based clustering algorithm in aspect mining G Serban, GS Moldovan 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for …, 2006 | 43 | 2006 |
A reinforcement learning approach for solving the fragment assembly problem MI Bocicor, G Czibula, IG Czibula 2011 13th international symposium on symbolic and numeric algorithms for …, 2011 | 38 | 2011 |
A programming interface for medical diagnosis prediction G Serban, IG Czibula, A Campan Studia Universitatis," Babes-Bolyai", Informatica, LI (1), 21-30, 2006 | 38 | 2006 |
Promoter sequences prediction using relational association rule mining G Czibula, MI Bocicor, IG Czibula Evolutionary Bioinformatics 8, EBO. S9376, 2012 | 30 | 2012 |
A reinforcement learning model for solving the folding problem G Czibula, MI Bocicor, IG Czibula International Journal of Computer Technology and Applications 2 (01), 2011 | 28 | 2011 |
A Programming Interface for Finding Relational Association Rules G Șerban, A Câmpan, IG Czibula | 28* | |
Unsupervised learning based mining of academic data sets for students’ performance analysis LM Crivei, G Czibula, G Ciubotariu, M Dindelegan 2020 IEEE 14th International Symposium on Applied Computational Intelligence …, 2020 | 27 | 2020 |
Hierarchical adaptive clustering G Şerban, A Campan Informatica 19 (1), 101-112, 2008 | 27 | 2008 |
A comparison of clustering techniques in aspect mining G Serban, GS Moldovan Informatica 51 (1), 2006 | 26 | 2006 |
MM-StackEns: A new deep multimodal stacked generalization approach for protein–protein interaction prediction AI Albu, MI Bocicor, G Czibula Computers in Biology and Medicine 153, 106526, 2023 | 25 | 2023 |
AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction G Czibula, AI Albu, MI Bocicor, C Chira Entropy 23 (6), 643, 2021 | 23 | 2021 |
A reinforcement learning based approach to multiple sequence alignment IG Mircea, I Bocicor, G Czibula Soft Computing Applications: Proceedings of the 7th International Workshop …, 2018 | 23 | 2018 |