Gabriela Czibula

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 59

Top Topics

Unsupervised Learning

Software Defect

Structural Similarities

Top Venues

Publications

Anamaria Briciu, Mihaiela Lupea, Gabriela Czibula, István Gergely Czibula
Enriching the Semantic Representation of the Source Code with Natural Language-Based Features from Comments for Improving the Performance of Software Defect Prediction. ENASE (2024)
Gabriela Czibula, Ioana-Gabriela Chelaru, Arthur Molnar, István Gergely Czibula
PreSTyDe: Improving the Performance of within-project Defects Prediction by Learning to Classify Types of Software Faults. ENASE (2024)
Mali Imre Gergely, Gabriela Czibula
Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game. ESANN (2023)
Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea
A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers. KES (2023)
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)
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)
Constantin Orasan, Gabriela Czibula
Im2Vide0: A Zero-Shot approach using diffusion models for natural language conditioned Image-to-Video. ICCP (2023)
Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula
: A new deep multimodal stacked generalization approach for protein-protein interaction prediction. Comput. Biol. Medicine 153 (2023)
Adelin Mihoc, Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Gabriela Czibula, Eugen Mihulet, Trygve Aspenes
ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery. KES (2023)
Gabriela Czibula, George Ciubotariu, Mariana-Ioana Maier, Hannelore Lisei
IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining. IEEE Access 10 (2022)
George Ciubotariu, Gabriela Czibula
MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks. IEEE Access 10 (2022)
Diana-Lucia Miholca, Vlad-Ioan Tomescu, Gabriela Czibula
An in-Depth Analysis of the Software Features' Impact on the Performance of Deep Learning-Based Software Defect Predictors. IEEE Access 10 (2022)
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) (2022)
Sergiu Cosmin Nistor, Gabriela Czibula
: Optimizing deep neural network architectures using a particle swarm-based approach. Expert Syst. Appl. 187 (2022)
Mihaiela Lupea, Anamaria Briciu, István Gergely Czibula, Gabriela Czibula
SoftId: An autoencoder-based one-class classification model for software authorship identification. KES (2022)
Vlad-Ioan Tomescu, Gabriela Czibula, Stefan Nitica
A study on using deep autoencoders for imbalanced binary classification. KES (2021)
Andrei Bratu, Gabriela Czibula
DAuGAN: An Approach for Augmenting Time Series Imbalanced Datasets via Latent Space Sampling Using Adversarial Techniques. Sci. Program. 2021 (2021)
Vlad-Sebastian Ionescu, Gabriela Czibula, Eugen Mihulet
DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes. KES (2021)
Maria-Madalina Mircea, Rares Boian, Gabriela Czibula
A machine learning approach for data protection in virtual reality therapy applications. ICCP (2021)
George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula
Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps. ICVS (2021)
Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction. Entropy 23 (6) (2021)
Gabriela Czibula, Carmina Codre, Mihai Teletin
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders. Expert Syst. Appl. 166 (2021)
Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea
: A deep autoencoder-based classification model for supervised authorship attribution. KES (2021)
Stefan Nitica, Gabriela Czibula, Vlad-Ioan Tomescu
A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection. SACI (2020)
Mihai Teletin, Gabriela Czibula
CVSimP: An approach for predicting proteins' structural similarity using one-shot learning. SACI (2020)
Alexandra-Ioana Albu, Gabriela Czibula
Analysing protein dynamics using machine learning based generative models. SACI (2020)
Liana Maria Crivei, Gabriela Czibula, George Ciubotariu, Mariana Dindelegan
Unsupervised learning based mining of academic data sets for students' performance analysis. SACI (2020)
Ioana Angela Socaci, Gabriela Czibula, Vlad-Sebastian Ionescu, Andrei Mihai
XNow: A deep learning technique for nowcasting based on radar products' values prediction. SACI (2020)
Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu
COMET: A conceptual coupling based metrics suite for software defect prediction. KES (2020)
Gabriela Czibula, Andrei Mihai, István Gergely Czibula
RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. KES (2020)
Diana-Lucia Miholca, Gabriela Czibula
Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code. KSEM (1) (2019)
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 (2019)
Gabriela Czibula, Andrei Mihai, Eugen Mihulet, Daniel Teodorovici
Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. KES (2019)
Silvana Iuliana Albert, Gabriela Czibula
ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques. KSEM (1) (2019)
Gabriela Czibula, Andrei Mihai, Liana Maria Crivei
A novel relational association rule mining classification model applied for academic performance prediction. KES (2019)
Mihai Teletin, Gabriela Czibula, Carmina Codre
AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders. KSEM (2) (2019)
Liana Maria Crivei, Gabriela Czibula, Andrei Mihai
A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students. KSEM (1) (2019)
Vlad-Sebastian Ionescu, Zsuzsanna Onet-Marian, Marin-Georgian Badita, Gabriela Czibula, Mihai-Ioan Popescu, Jilles Steeve Dibangoye, Olivier Simonin
: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling. KES (2019)
Gabriela Czibula, István Gergely Czibula, Diana-Lucia Miholca, Liana Maria Crivei
A novel concurrent relational association rule mining approach. Expert Syst. Appl. 125 (2019)
Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor
Using clustering models for uncovering proteins' structural similarity. SACI (2019)
Andrei Mihai, Gabriela Czibula, Eugen Mihulet
Analyzing Meteorological Data Using Unsupervised Learning Techniques. ICCP (2019)
Diana-Lucia Miholca, Gabriela Czibula
A dynamic approach to mining gradual relational association rules. KES (2019)
Casian-Nicolae Marc, Gabriela Czibula
KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps. ICCP (2018)
Gabriela Czibula, István Gergely Czibula, Zsuzsanna Marian
An effective approach for determining the class integration test order using reinforcement learning. Appl. Soft Comput. 65 (2018)
Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini
Deep Autoencoders for Additional Insight into Protein Dynamics. ICANN (2) (2018)
Diana-Lucia Miholca, Gabriela Czibula, Liana Maria Crivei
A new incremental relational association rules mining approach. KES (2018)
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 (2018)
Cosmin-Ionut Rusu, Gabriela Czibula
Optimizing Convolutional Neural Networks for low-resource devices. ICCP (2018)
Mihai Teletin, Gabriela Czibula, Silvana Iuliana Albert, Maria-Iuliana Bocicor
Using unsupervised learning methods for enhancing protein structure insight. KES (2018)
Silvana Iuliana Albert, Gabriela Czibula, Mihai Teletin
Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data. SACI (2018)
István Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian
An Improved Approach for Class Test Ordering Optimization using Genetic Algorithms. ICSOFT (2017)
Zsuzsanna Marian, István Gergely Czibula, Gabriela Czibula
A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level. SYNASC (2017)
Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula
An Unsupervised Learning Based Conceptual Coupling Measure. SYNASC (2017)
István Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian
Identifying Class Integration Test Order Using an Improved Genetic Algorithm-Based Approach. ICSOFT (Selected Papers) (2017)
Oliviu-Bogdan Botocan, Gabriela Czibula
HACGA: An artifacts-based clustering approach for malware classification. ICCP (2017)
Zsuzsanna Marian, Ioan-Gabriel Mircea, István Gergely Czibula, Gabriela Czibula
A Novel Approach for Software Defect Prediction Using Fuzzy Decision Trees. SYNASC (2016)
Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin
Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology. SOFA (2) (2016)
Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, István Gergely Czibula
Machine Learning Based Approaches for Sex Identification in Bioarchaeology. SYNASC (2016)
Ioan-Gabriel Mircea, Iuliana M. Bocicor, Gabriela Czibula
A Reinforcement Learning Based Approach to Multiple Sequence Alignment. SOFA (2) (2016)
Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Diana-Lucia Miholca, Gabriela Czibula
Instance based learning approaches for predicting the height of human skeletons. ICCP (2015)
Gabriela Czibula, István Gergely Czibula, Adela-Maria Sirbu, Ioan-Gabriel Mircea
A novel approach to adaptive relational association rule mining. Appl. Soft Comput. 36 (2015)
Ioan-Gabriel Mircea, Gabriela Czibula, Maria-Iuliana Bocicor
A Q-learning approach for aligning protein sequences. ICCP (2015)
Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula
Detecting software design defects using relational association rule mining. Knowl. Inf. Syst. 42 (3) (2015)
Gabriela Czibula, István Gergely Czibula, Radu Dan Gaceanu
A support vector machine model for intelligent selection of data representations. Appl. Soft Comput. 18 (2014)
Adela-Maria Sirbu, Gabriela Czibula, Maria-Iuliana Bocicor
Dynamic Clustering of Gene Expression Data Using a Fuzzy Approach. SYNASC (2014)
Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula
Software defect prediction using relational association rule mining. Inf. Sci. 264 (2014)
Gabriela Czibula, István Gergely Czibula
Software systems performance improvement by intelligent data structures customization. Inf. Sci. 274 (2014)
Doina Tatar, Diana Inkpen, Gabriela Czibula
Text Segmentation Using Roget-Based Weighted Lexical Chains. Comput. Informatics 32 (2) (2013)
Gabriela Czibula, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, István Gergely Czibula
Soft Computing Approaches on the Bandwidth Problem. Informatica 24 (2) (2013)
Gabriela Czibula, István Gergely Czibula, Radu Dan Gaceanu
Intelligent data structures selection using neural networks. Knowl. Inf. Syst. 34 (1) (2013)
Gabriela Czibula, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, István Gergely Czibula
Soft Computing approaches on the Bandwidth Problem CoRR (2012)
Maria-Iuliana Bocicor, Gabriela Czibula, István Gergely Czibula
A Reinforcement Learning Approach for Solving the Fragment Assembly Problem. SYNASC (2011)
Gabriela Czibula, Grigoreta Sofia Cojocar, István Gergely Czibula
Evaluation Measures for Partitioning based Aspect Mining Techniques. Int. J. Comput. Commun. Control 6 (1) (2011)
Gabriela Czibula, Grigoreta Sofia Cojocar
A Hierarchical Clustering Based Approach in Aspect Mining. Comput. Informatics 29 (6) (2010)
István Gergely Czibula, Gabriela Czibula, Adriana Mihaela Guran
Dynamic Customization of Data Structures Instances Using an Agent Based Approach. SYNASC (2009)
István Gergely Czibula, Gabriela Czibula
Clustering Based Automatic Refactorings Identification. SYNASC (2008)