Software Systems Design Improvement Using Hierarchical Clustering. - István Gergely Czibula; Gabriela Serban (Software Engineering Research and Practice, 2007)

A New Clustering Approach for Systems Design Improvement. - Gabriela Serban; István Gergely Czibula (SETP, 2007)

Object-Oriented Software Systems Restructuring through Clustering. - Gabriela Serban; István Gergely Czibula (ICAISC, 2008)

Clustering Based Automatic Refactorings Identification. - István Gergely Czibula; Gabriela Czibula (SYNASC, 2008)

iComponent: A Platform Independent Component Model for Dynamic Execution Environments. - Ioan Lazar; Bazil Pârv; Simona Motogna; István Gergely Czibula; Codrut-Lucian Lazar (SYNASC, 2008)

Rapid Prototyping of Service-Oriented Applications on OSGi Platform. - Ioan Lazar; Simona Motogna; Bazil Pârv; István Gergely Czibula; Codrut-Lucian Lazar (BCI, 2009)

Dynamic Customization of Data Structures Instances Using an Agent Based Approach. - István Gergely Czibula; Gabriela Czibula; Adriana Mihaela Guran (SYNASC, 2009)

Using a fUML Action Language to Construct UML Models. - Codrut-Lucian Lazar; Ioan Lazar; Bazil Pârv; Simona Motogna; István Gergely Czibula (SYNASC, 2009)

An Agile MDA Approach for Service-Oriented Components. - Simona Motogna; Ioan Lazar; Bazil Pârv; István Gergely Czibula (FESCA@ETAPS, 2009)

Tool Support for fUML Models. - Codrut-Lucian Lazar; Ioan Lazar; Bazil Pârv; Simona Motogna; István Gergely Czibula (Int. J. Comput. Commun. Control, 2010)

A Reinforcement Learning Approach for Solving the Fragment Assembly Problem. - Maria-Iuliana Bocicor; Gabriela Czibula; István Gergely Czibula (SYNASC, 2011)

Evaluation Measures for Partitioning based Aspect Mining Techniques. - Gabriela Czibula; Grigoreta Sofia Cojocar; István Gergely Czibula (Int. J. Comput. Commun. Control, 2011)

Soft Computing Approaches on the Bandwidth Problem. - Gabriela Czibula; Gloria Cerasela Crisan; Camelia-Mihaela Pintea; István Gergely Czibula (Informatica, 2013)

Intelligent data structures selection using neural networks. - Gabriela Czibula; István Gergely Czibula; Radu Dan Gaceanu (Knowl. Inf. Syst., 2013)

A support vector machine model for intelligent selection of data representations. - Gabriela Czibula; István Gergely Czibula; Radu Dan Gaceanu (Appl. Soft Comput., 2014)

Software systems performance improvement by intelligent data structures customization. - Gabriela Czibula; István Gergely Czibula (Inf. Sci., 2014)

Software defect prediction using relational association rule mining. - Gabriela Czibula; Zsuzsanna Marian; István Gergely Czibula (Inf. Sci., 2014)

A novel approach to adaptive relational association rule mining. - Gabriela Czibula; István Gergely Czibula; Adela-Maria Sirbu; Ioan-Gabriel Mircea (Appl. Soft Comput., 2015)

Detecting software design defects using relational association rule mining. - Gabriela Czibula; Zsuzsanna Marian; István Gergely Czibula (Knowl. Inf. Syst., 2015)

A Novel Approach for Software Defect Prediction Using Fuzzy Decision Trees. - Zsuzsanna Marian; Ioan-Gabriel Mircea; István Gergely Czibula; Gabriela Czibula (SYNASC, 2016)

Machine Learning Based Approaches for Sex Identification in Bioarchaeology. - Diana-Lucia Miholca; Gabriela Czibula; Ioan-Gabriel Mircea; István Gergely Czibula (SYNASC, 2016)

An Improved Approach for Class Test Ordering Optimization using Genetic Algorithms. - István Gergely Czibula; Gabriela Czibula; Zsuzsanna Marian (ICSOFT, 2017)

Identifying Class Integration Test Order Using an Improved Genetic Algorithm-Based Approach. - István Gergely Czibula; Gabriela Czibula; Zsuzsanna Marian (ICSOFT (Selected Papers), 2017)

An Unsupervised Learning Based Conceptual Coupling Measure. - Diana-Lucia Miholca; Gabriela Czibula; Zsuzsanna Marian; István Gergely Czibula (SYNASC, 2017)

A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level. - Zsuzsanna Marian; István Gergely Czibula; Gabriela Czibula (SYNASC, 2017)

An effective approach for determining the class integration test order using reinforcement learning. - Gabriela Czibula; István Gergely Czibula; Zsuzsanna Marian (Appl. Soft Comput., 2018)

A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks. - Diana-Lucia Miholca; Gabriela Czibula; István Gergely Czibula (Inf. Sci., 2018)

Hunting Traits for Cryptojackers. - Gabriel Jozsef Berecz; István Gergely Czibula (ICETE (2), 2019)

Automatic Algorithmic Complexity Determination Using Dynamic Program Analysis. - István Gergely Czibula; Zsuzsanna Onet-Marian; Robert-Francisc Vida (ICSOFT, 2019)

A novel concurrent relational association rule mining approach. - Gabriela Czibula; István Gergely Czibula; Diana-Lucia Miholca; Liana Maria Crivei (Expert Syst. Appl., 2019)

An aggregated coupling measure for the analysis of object-oriented software systems. - István Gergely Czibula; Gabriela Czibula; Diana-Lucia Miholca; Zsuzsanna Marian (J. Syst. Softw., 2019)

RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. - Gabriela Czibula; Andrei Mihai; István Gergely Czibula (KES, 2020)

SoftId: An autoencoder-based one-class classification model for software authorship identification. - Mihaiela Lupea; Anamaria Briciu; István Gergely Czibula; Gabriela Czibula (KES, 2022)

NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes. - Alexandra-Ioana Albu; Gabriela Czibula; Andrei Mihai; István Gergely Czibula; Sorin Burcea; Abdelkader Mezghani (Remote. Sens., 2022)

Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors. - George Ciubotariu; Gabriela Czibula; István Gergely Czibula; Ioana-Gabriela Chelaru (ICSOFT, 2023)

An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects. - Gabriela Czibula; Ioana-Gabriela Chelaru; István Gergely Czibula; Arthur-Jozsef Molnar (KES, 2023)

Enriching the Semantic Representation of the Source Code with Natural Language-Based Features from Comments for Improving the Performance of Software Defect Prediction. - Anamaria Briciu; Mihaiela Lupea; Gabriela Czibula; István Gergely Czibula (ENASE, 2024)

PreSTyDe: Improving the Performance of within-project Defects Prediction by Learning to Classify Types of Software Faults. - Gabriela Czibula; Ioana-Gabriela Chelaru; Arthur Molnar; István Gergely Czibula (ENASE, 2024)

SepConv-ens: An ensemble of separable convolution-based deep learning models for weather radar echo temporal extrapolation. - Gabriela Czibula; Andrei Mihai; Paul-Dumitru Orasan; István Gergely Czibula; Eugen Mihulet; Sorin Burcea (KES, 2024)