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ORCIDIstván Gergely Czibula
Publications
- 2023
[c22]George Ciubotariu, Gabriela Czibula, István Gergely Czibula, Ioana-Gabriela Chelaru:
Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors. ICSOFT 2023: 249-257- [c21]Gabriela Czibula, Ioana-Gabriela Chelaru, István Gergely Czibula, Arthur-Jozsef Molnar:
An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects. KES 2023: 2644-2653 - 2022
- [j14]Alexandra-Ioana Albu, Gabriela Czibula
, Andrei Mihai, István Gergely Czibula, Sorin Burcea, Abdelkader Mezghani:
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes. Remote. Sens. 14(16): 3890 (2022) - [c20]Mihaiela Lupea, Anamaria Briciu, István Gergely Czibula, Gabriela Czibula:
SoftId: An autoencoder-based one-class classification model for software authorship identification. KES 2022: 716-725 - 2020
- [c19]Gabriela Czibula, Andrei Mihai, István Gergely Czibula:
RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. KES 2020: 300-309 - 2019
- [j13]Gabriela Czibula, István Gergely Czibula, Diana-Lucia Miholca, Liana Maria Crivei:
A novel concurrent relational association rule mining approach. Expert Syst. Appl. 125: 142-156 (2019) - [j12]István Gergely Czibula, Gabriela Czibula, Diana-Lucia Miholca, Zsuzsanna Marian:
An aggregated coupling measure for the analysis of object-oriented software systems. J. Syst. Softw. 148: 1-20 (2019) - 2018
- [j11]Gabriela Czibula, István Gergely Czibula, Zsuzsanna Marian:
An effective approach for determining the class integration test order using reinforcement learning. Appl. Soft Comput. 65: 517-530 (2018) - [j10]Diana-Lucia Miholca, Gabriela Czibula, István Gergely Czibula:
A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks. Inf. Sci. 441: 152-170 (2018) - 2017
- [c16]István Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian:
An Improved Approach for Class Test Ordering Optimization using Genetic Algorithms. ICSOFT 2017: 27-37 - [c15]István Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian:
Identifying Class Integration Test Order Using an Improved Genetic Algorithm-Based Approach. ICSOFT (Selected Papers) 2017: 163-187 - [c14]Zsuzsanna Marian, István Gergely Czibula, Gabriela Czibula:
A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level. SYNASC 2017: 239-246 - [c13]Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula:
An Unsupervised Learning Based Conceptual Coupling Measure. SYNASC 2017: 247-254 - 2016
- [c12]Zsuzsanna Marian, Ioan-Gabriel Mircea, István Gergely Czibula, Gabriela Czibula:
A Novel Approach for Software Defect Prediction Using Fuzzy Decision Trees. SYNASC 2016: 240-247 - [c11]Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, István Gergely Czibula:
Machine Learning Based Approaches for Sex Identification in Bioarchaeology. SYNASC 2016: 311-314 - 2015
- [j9]Gabriela Czibula, István Gergely Czibula, Adela-Maria Sirbu, Ioan-Gabriel Mircea:
A novel approach to adaptive relational association rule mining. Appl. Soft Comput. 36: 519-533 (2015) - [j8]Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula:
Detecting software design defects using relational association rule mining. Knowl. Inf. Syst. 42(3): 545-577 (2015) - 2014
- [j7]Gabriela Czibula, István Gergely Czibula, Radu Dan Gaceanu:
A support vector machine model for intelligent selection of data representations. Appl. Soft Comput. 18: 70-81 (2014) - [j6]Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula:
Software defect prediction using relational association rule mining. Inf. Sci. 264: 260-278 (2014) - [j5]Gabriela Czibula, István Gergely Czibula:
Software systems performance improvement by intelligent data structures customization. Inf. Sci. 274: 249-260 (2014) - 2013
- [j4]Gabriela Czibula, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, István Gergely Czibula:
Soft Computing Approaches on the Bandwidth Problem. Informatica 24(2): 169-180 (2013) - [j3]Gabriela Czibula, István Gergely Czibula, Radu Dan Gaceanu:
Intelligent data structures selection using neural networks. Knowl. Inf. Syst. 34(1): 171-192 (2013) - 2012
- [i1]Gabriela Czibula, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, István Gergely Czibula:
Soft Computing approaches on the Bandwidth Problem. CoRR abs/1208.5554 (2012) - 2011
- [j2]Gabriela Czibula, Grigoreta Sofia Cojocar, István Gergely Czibula:
Evaluation Measures for Partitioning based Aspect Mining Techniques. Int. J. Comput. Commun. Control 6(1): 72-80 (2011) - [c10]Maria-Iuliana Bocicor, Gabriela Czibula, István Gergely Czibula:
A Reinforcement Learning Approach for Solving the Fragment Assembly Problem. SYNASC 2011: 191-198 - 2009
- [c7]István Gergely Czibula, Gabriela Czibula, Adriana Mihaela Guran:
Dynamic Customization of Data Structures Instances Using an Agent Based Approach. SYNASC 2009: 341-347 - 2008
- [c5]Gabriela Serban, István Gergely Czibula:
Object-Oriented Software Systems Restructuring through Clustering. ICAISC 2008: 693-704 - [c4]István Gergely Czibula, Gabriela Czibula:
Clustering Based Automatic Refactorings Identification. SYNASC 2008: 253-256 - 2007
- [c2]István Gergely Czibula, Gabriela Serban:
Software Systems Design Improvement Using Hierarchical Clustering. Software Engineering Research and Practice 2007: 229-235 - [c1]Gabriela Serban, István Gergely Czibula:
A New Clustering Approach for Systems Design Improvement. SETP 2007: 47-54
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