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ORCIDGabriela Serban Czibula
Gabriela Serban – Gabriela Czibula
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- affiliation: University of Cluj-Napoca, Romania
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2020 – today
- 2025
[j26]Alexandru-Gabriel Sirbu, Gabriela Czibula:
Automatic code generation based on Abstract Syntax-based encoding. Application on malware detection code generation based on MITRE ATT&CK techniques. Expert Syst. Appl. 264: 125821 (2025)- 2024
- [c71]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: 132-143 - [c70]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: 214-225 - 2023
- [j25]Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula:
MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction. Comput. Biol. Medicine 153: 106526 (2023) - [c69]Mali Imre Gergely, Gabriela Czibula:
Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game. ESANN 2023 - [c68]Paul-Dumitru Orasan, Gabriela Czibula:
Im2Vide0: A Zero-Shot approach using diffusion models for natural language conditioned Image-to-Video. ICCP 2023: 389-396 - [c67]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 - [c66]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: 298-307 - [c65]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: 1601-1610 - [c64]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
- [j24]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: 64801-64818 (2022) - [j23]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: 80651-80666 (2022) - [j22]George Ciubotariu, Gabriela Czibula:
MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks. IEEE Access 10: 125600-125615 (2022) - [j21]Sergiu Cosmin Nistor, Gabriela Czibula:
IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach. Expert Syst. Appl. 187: 115945 (2022) - [j20]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) - [c63]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 - [e1]Robert Andrei Buchmann, Gheorghe Cosmin Silaghi, Darius Bufnea, Virginia Niculescu, Gabriela Czibula, Carol L. Barry, Michael Lang, Henry Linger, Christoph Schneider:
Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings), Cluj-Napoca, Romania, 31 August - 2 September 2022. Risoprint / Association for Information Systems 2022, ISBN 978-973-53-2917-4 [contents] - 2021
- [j19]Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira:
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction. Entropy 23(6): 643 (2021) - [j18]Gabriela Czibula, Carmina Codre, Mihai Teletin:
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders. Expert Syst. Appl. 166: 114070 (2021) - [j17]Andrei Bratu, Gabriela Czibula:
DAuGAN: An Approach for Augmenting Time Series Imbalanced Datasets via Latent Space Sampling Using Adversarial Techniques. Sci. Program. 2021: 7877590:1-7877590:13 (2021) - [c62]Maria-Madalina Mircea, Rares F. Boian, Gabriela Czibula:
A machine learning approach for data protection in virtual reality therapy applications. ICCP 2021: 367-374 - [c61]George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula:
Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps. ICVS 2021: 68-81 - [c60]Vlad-Ioan Tomescu, Gabriela Czibula, Stefan Nitica:
A study on using deep autoencoders for imbalanced binary classification. KES 2021: 119-128 - [c59]Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea:
AutoAt: A deep autoencoder-based classification model for supervised authorship attribution. KES 2021: 397-406 - [c58]Vlad-Sebastian Ionescu, Gabriela Czibula, Eugen Mihulet:
DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes. KES 2021: 622-631 - 2020
- [c57]Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu:
COMET: A conceptual coupling based metrics suite for software defect prediction. KES 2020: 31-40 - [c56]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 - [c55]Liana Maria Crivei, Gabriela Czibula, George Ciubotariu, Mariana Dindelegan:
Unsupervised learning based mining of academic data sets for students' performance analysis. SACI 2020: 11-16 - [c54]Stefan Nitica, Gabriela Czibula, Vlad-Ioan Tomescu:
A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection. SACI 2020: 99-104 - [c53]Mihai Teletin, Gabriela Czibula:
CVSimP: An approach for predicting proteins' structural similarity using one-shot learning. SACI 2020: 111-116 - [c52]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: 117-122 - [c51]Alexandra-Ioana Albu, Gabriela Czibula:
Analysing protein dynamics using machine learning based generative models. SACI 2020: 135-140
2010 – 2019
- 2019
- [j16]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) - [j15]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) - [c50]Andrei Mihai, Gabriela Czibula, Eugen Mihulet:
Analyzing Meteorological Data Using Unsupervised Learning Techniques. ICCP 2019: 529-536 - [c49]Diana-Lucia Miholca, Gabriela Czibula:
DynGRAR: A dynamic approach to mining gradual relational association rules. KES 2019: 10-19 - [c48]Gabriela Czibula, Andrei Mihai, Liana Maria Crivei:
S PRAR: A novel relational association rule mining classification model applied for academic performance prediction. KES 2019: 20-29 - [c47]Gabriela Czibula, Andrei Mihai, Eugen Mihulet, Daniel Teodorovici:
Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. KES 2019: 48-57 - [c46]Vlad-Sebastian Ionescu, Zsuzsanna Onet-Marian, Marin-Georgian Badita, Gabriela Czibula, Mihai-Ioan Popescu, Jilles Steeve Dibangoye, Olivier Simonin:
DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling. KES 2019: 97-106 - [c45]Mihai Teletin, Gabriela Czibula, Carmina Codre:
AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders. KSEM (2) 2019: 49-54 - [c44]Silvana Iuliana Albert, Gabriela Czibula:
ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques. KSEM (1) 2019: 249-261 - [c43]Diana-Lucia Miholca, Gabriela Czibula:
Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code. KSEM (1) 2019: 262-274 - [c42]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: 287-300 - [c41]Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor:
Using clustering models for uncovering proteins' structural similarity. SACI 2019: 185-190 - 2018
- [j14]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) - [j13]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) - [c40]Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini:
Deep Autoencoders for Additional Insight into Protein Dynamics. ICANN (2) 2018: 79-89 - [c39]Casian-Nicolae Marc, Gabriela Czibula:
KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps. ICCP 2018: 167-174 - [c38]Cosmin-Ionut Rusu, Gabriela Czibula:
Optimizing Convolutional Neural Networks for low-resource devices. ICCP 2018: 245-252 - [c37]Mihai Teletin, Gabriela Czibula, Silvana Iuliana Albert, Maria-Iuliana Bocicor:
Using unsupervised learning methods for enhancing protein structure insight. KES 2018: 19-28 - [c36]Diana-Lucia Miholca, Gabriela Czibula, Liana Maria Crivei:
A new incremental relational association rules mining approach. KES 2018: 126-135 - [c35]Silvana Iuliana Albert, Gabriela Czibula, Mihai Teletin:
Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data. SACI 2018: 533-538 - 2017
- [c34]Oliviu-Bogdan Botocan, Gabriela Czibula:
HACGA: An artifacts-based clustering approach for malware classification. ICCP 2017: 5-12 - [c33]István Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian:
An Improved Approach for Class Test Ordering Optimization using Genetic Algorithms. ICSOFT 2017: 27-37 - [c32]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 - [c31]Zsuzsanna Marian, István Gergely Czibula, Gabriela Czibula:
A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level. SYNASC 2017: 239-246 - [c30]Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula:
An Unsupervised Learning Based Conceptual Coupling Measure. SYNASC 2017: 247-254 - 2016
- [c29]Ioan-Gabriel Mircea, Iuliana M. Bocicor, Gabriela Czibula:
A Reinforcement Learning Based Approach to Multiple Sequence Alignment. SOFA (2) 2016: 54-70 - [c28]Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin:
Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology. SOFA (2) 2016: 71-86 - [c27]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 - [c26]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
- [j12]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) - [j11]Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula:
Detecting software design defects using relational association rule mining. Knowl. Inf. Syst. 42(3): 545-577 (2015) - [c25]Ioan-Gabriel Mircea, Gabriela Czibula, Maria-Iuliana Bocicor:
A Q-learning approach for aligning protein sequences. ICCP 2015: 51-58 - [c24]Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Diana-Lucia Miholca, Gabriela Czibula:
Instance based learning approaches for predicting the height of human skeletons. ICCP 2015: 309-316 - 2014
- [j10]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) - [j9]Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula:
Software defect prediction using relational association rule mining. Inf. Sci. 264: 260-278 (2014) - [j8]Gabriela Czibula, István Gergely Czibula:
Software systems performance improvement by intelligent data structures customization. Inf. Sci. 274: 249-260 (2014) - [c23]Adela-Maria Sirbu, Gabriela Czibula, Maria-Iuliana Bocicor:
Dynamic Clustering of Gene Expression Data Using a Fuzzy Approach. SYNASC 2014: 220-227 - 2013
- [j7]Doina Tatar, Diana Inkpen, Gabriela Czibula:
Text Segmentation Using Roget-Based Weighted Lexical Chains. Comput. Informatics 32(2): 393-410 (2013) - [j6]Gabriela Czibula, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, István Gergely Czibula:
Soft Computing Approaches on the Bandwidth Problem. Informatica 24(2): 169-180 (2013) - [j5]Gabriela Czibula, István Gergely Czibula, Radu Dan Gaceanu:
Intelligent data structures selection using neural networks. Knowl. Inf. Syst. 34(1): 171-192 (2013) - 2012
- [i2]Gabriela Czibula, Gloria Cerasela Crisan, Camelia-Mihaela Pintea, István Gergely Czibula:
Soft Computing approaches on the Bandwidth Problem. CoRR abs/1208.5554 (2012) - 2011
- [j4]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) - [c22]Maria-Iuliana Bocicor, Gabriela Czibula, István Gergely Czibula:
A Reinforcement Learning Approach for Solving the Fragment Assembly Problem. SYNASC 2011: 191-198 - 2010
- [j3]Gabriela Czibula, Grigoreta Sofia Cojocar:
A Hierarchical Clustering Based Approach in Aspect Mining. Comput. Informatics 29(6): 881-900 (2010)
2000 – 2009
- 2009
- [j2]Doina Tatar, Gabriela Serban Czibula, Andreea Diana Mihis, Rada Flavia Mihalcea:
Textual Entailment as a Directional Relation. J. Res. Pract. Inf. Technol. 41(1): 53-64 (2009) - [c21]István Gergely Czibula, Gabriela Czibula, Adriana Mihaela Guran:
Dynamic Customization of Data Structures Instances Using an Agent Based Approach. SYNASC 2009: 341-347 - 2008
- [j1]Gabriela Serban, Alina Campan:
Hierarchical Adaptive Clustering. Informatica 19(1): 101-112 (2008) - [c20]Doina Tatar, Andreea Diana Mihis, Gabriela Serban:
Top-Down Cohesion Segmentation in Summarization. STEP 2008 - [c19]Gabriela Serban, István Gergely Czibula:
Object-Oriented Software Systems Restructuring through Clustering. ICAISC 2008: 693-704 - [c18]Doina Tatar, Andreea Diana Mihis, Gabriela Serban Czibula:
Lexical Chains Segmentation in Summarization. SYNASC 2008: 95-101 - [c17]István Gergely Czibula, Gabriela Czibula:
Clustering Based Automatic Refactorings Identification. SYNASC 2008: 253-256 - [i1]Doina Tatar, Gabriela Serban, Andreea Diana Mihis, Mihaiela Lupea, Dana Lupsa, Militon Frentiu:
A chain dictionary method for Word Sense Disambiguation and applications. CoRR abs/0806.2581 (2008) - 2007
- [c16]Grigoreta Sofia Cojocar, Gabriela Serban:
On some criteria for comparing aspect mining techniques. LATE@AOSD 2007: 7 - [c15]Gabriela Serban, Adriana Tarta, Grigoreta Sofia Moldovan:
A Learning Interface Agent for User Behavior Prediction. HCI (3) 2007: 508-517 - [c14]István Gergely Czibula, Gabriela Serban:
Software Systems Design Improvement Using Hierarchical Clustering. Software Engineering Research and Practice 2007: 229-235 - [c13]Gabriela Serban, István Gergely Czibula:
A New Clustering Approach for Systems Design Improvement. SETP 2007: 47-54 - 2006
- [c12]Alina Campan, Gabriela Serban:
Adaptive Clustering Algorithms. Canadian AI 2006: 407-418 - [c11]Alina Campan, Gabriela Serban, Traian Marius Truta, Andrian Marcus:
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules. DMIN 2006: 107-113 - [c10]Gabriela Serban, Grigoreta Sofia Moldovan:
A New k-means Based Clustering Algorithm in Aspect Mining. SYNASC 2006: 69-74 - 2005
- [c9]Alina Campan, Gabriela Serban:
A New Incremental Core-Based Clustering Method. AIAI 2005: 269-278 - [c8]Gabriela Serban:
A New Programming Interface for Reinforcement Learning Simulations. Intelligent Information Systems 2005: 481-485 - [c7]Gabriela Serban, Alina Campan:
Incremental Clustering Using a Core-Based Approach. ISCIS 2005: 854-863 - [c6]Gabriela Serban, Alina Campan:
A New Core-Based Method for Hierarchical Incremental Clustering. SYNASC 2005: 77-82 - 2004
- [c5]Gabriela Serban, Doina Tatar:
UBB system at Senseval-3. SENSEVAL@ACL 2004 - 2003
- [c4]Gabriela Serban:
A new logic architecture for Intelligent Agents. APPIA-GULP-PRODE 2003: 159-167 - [c3]Gabriela Serban, Doina Tatar:
Word Sense Disambiguation for Untagged Corpus: Application to Romanian Language. CICLing 2003: 268-272 - [c2]Constantin Orasan, Doina Tatar, Gabriela Serban, Dana Lupsa, Adrian Onet:
How to build a QA system in your back-garden: application for Romanian. EACL 2003: 139-142 - [c1]Gabriela Serban, Doina Tatar:
An Improved Algorithm on Word Sense Disambiguation. IIS 2003: 199-208
Coauthor Index
Zsuzsanna Onet-Marian
aka: Zsuzsanna Marian
aka: Zsuzsanna Marian
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