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Gabriela Czibula (Șerban)
Gabriela Czibula (Șerban)
Professor of Computer Science, Babeș-Bolyai University
Verified email at ubbcluj.ro - Homepage
Title
Cited by
Cited by
Year
Software defect prediction using relational association rule mining
G Czibula, Z Marian, IG Czibula
Information Sciences 264, 260-278, 2014
2042014
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
1282018
Detecting software design defects using relational association rule mining
G Czibula, Z Marian, IG Czibula
Knowledge and Information Systems 42, 545-577, 2015
712015
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
602006
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
512019
Improving systems design using a clustering approach
IG Czibula, G Serban
IJCSNS International Journal of Computer Science and Network Security 6 (12 …, 2006
502006
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
462009
A novel concurrent relational association rule mining approach
G Czibula, IG Czibula, DL Miholca, LM Crivei
Expert Systems with Applications 125, 142-156, 2019
432019
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
432006
A programming interface for medical diagnosis prediction
G Serban, IG Czibula, A Campan
Studia Universitatis," Babes-Bolyai", Informatica, LI (1), 21-30, 2006
382006
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
372011
Promoter sequences prediction using relational association rule mining
G Czibula, MI Bocicor, IG Czibula
Evolutionary Bioinformatics 8, EBO. S9376, 2012
302012
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
292011
A Programming Interface for Finding Relational Association Rules
G Șerban, A Câmpan, IG Czibula
28*
Hierarchical adaptive clustering
G Şerban, A Campan
Informatica 19 (1), 101-112, 2008
272008
A comparison of clustering techniques in aspect mining
G Serban, GS Moldovan
Informatica 51 (1), 2006
272006
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
262020
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
252023
An in-depth analysis of the software features’ impact on the performance of deep learning-based software defect predictors
DL Miholca, VI Tomescu, G Czibula
IEEE Access 10, 64801-64818, 2022
232022
AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction
G Czibula, AI Albu, MI Bocicor, C Chira
Entropy 23 (6), 643, 2021
232021
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