| 2026 | ENASE | GEM-Qt: Generating Embeddings for Meteorological Reanalysis Data Using a Quadtree-Based Approach. | Gabriela Czibula, Andrei Mihai, Alexandru-Gabriel Sirbu, Istvn Gergely Czibula, Eugen Mihulet, Ioan-Stefan Gabrian |
| 2026 | ICPRAM | X-CViT: An Explainable Vision Transformer Architecture for Classification of Cloud Images. | Stefan Alexandrescu, Gabriela Czibula, Alexandra-Ioana Albu, Eugen Mihulet |
| 2025 | CoopIS | CodeASG: An Approach for Extracting Code Embeddings from Abstract Syntax Graphs. | Alexandru-Gabriel Sirbu, Gabriela Czibula |
| 2025 | ICAART | Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification. | Paul-Dumitru Orasan, Alexandra-Ioana Albu, Gabriela Czibula |
| 2025 | ICAART | Using Diffusion Models for Enhancing the Performance of Semi-supervised Image Classifiers. | Paul-Dumitru Orasan, Gabriela Czibula, Alexandra-Ioana Albu |
| 2025 | ICAART | CAMMA: A Deep Learning-Based Approach for Cascaded Multi-Task Medical Vision Question Answering. | Teodora-Alexandra Toader, Alexandru Manole, Gabriela Czibula |
| 2025 | KES | FS-iSDP: A few-shot learning approach using siamese networks for interpretable software defect prediction. | Ioana-Gabriela Chelaru, Gabriela Czibula, Andrei Mihai |
| 2025 | KES | MultI-MVQA: A multitask framework for interpretable medical visual question answering. | Teodora-Alexandra Toader, Gabriela Czibula, Cristina Mircea |
| 2024 | ENASE | 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, Istvn Gergely Czibula |
| 2024 | ENASE | PreSTyDe: Improving the Performance of within-project Defects Prediction by Learning to Classify Types of Software Faults. | Gabriela Czibula, Ioana-Gabriela Chelaru, Arthur Molnar, Istvn Gergely Czibula |
| 2024 | KES | SepConv-ens: An ensemble of separable convolution-based deep learning models for weather radar echo temporal extrapolation. | Gabriela Czibula, Andrei Mihai, Paul-Dumitru Orasan, Istvn Gergely Czibula, Eugen Mihulet, Sorin Burcea |
| 2023 | ESANN | Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game. | Mali Imre Gergely, Gabriela Czibula |
| 2023 | ICSoft | Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors. | George Ciubotariu, Gabriela Czibula, Istvn Gergely Czibula, Ioana-Gabriela Chelaru |
| 2023 | KES | A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers. | Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea |
| 2023 | KES | An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects. | Gabriela Czibula, Ioana-Gabriela Chelaru, Istvn Gergely Czibula, Arthur-Jozsef Molnar |
| 2023 | KES | ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery. | Adelin Mihoc, Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Gabriela Czibula, Eugen Mihulet, Trygve Aspenes |
| 2022 | KES | SoftId: An autoencoder-based one-class classification model for software authorship identification. | Mihaiela Lupea, Anamaria Briciu, Istvn Gergely Czibula, Gabriela Czibula |
| 2021 | ICVS | Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps. | George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula |
| 2021 | KES | Untitled record | Anamaria Briciu, Gabriela Czibula, Mihaiela Lupea |
| 2021 | KES | DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes. | Vlad-Sebastian Ionescu, Gabriela Czibula, Eugen Mihulet |
| 2021 | KES | A study on using deep autoencoders for imbalanced binary classification. | Vlad-Ioan Tomescu, Gabriela Czibula, Stefan Nitica |
| 2020 | KES | RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. | Gabriela Czibula, Andrei Mihai, Istvn Gergely Czibula |
| 2020 | KES | COMET: A conceptual coupling based metrics suite for software defect prediction. | Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu |
| 2020 | SACI | Analysing protein dynamics using machine learning based generative models. | Alexandra-Ioana Albu, Gabriela Czibula |
| 2020 | SACI | Unsupervised learning based mining of academic data sets for students' performance analysis. | Liana Maria Crivei, Gabriela Czibula, George Ciubotariu, Mariana Dindelegan |
| 2020 | SACI | A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection. | Stefan Nitica, Gabriela Czibula, Vlad-Ioan Tomescu |
| 2020 | SACI | XNow: A deep learning technique for nowcasting based on radar products' values prediction. | Ioana Angela Socaci, Gabriela Czibula, Vlad-Sebastian Ionescu, Andrei Mihai |
| 2020 | SACI | CVSimP: An approach for predicting proteins' structural similarity using one-shot learning. | Mihai Teletin, Gabriela Czibula |
| 2019 | KES | Untitled record | Gabriela Czibula, Andrei Mihai, Liana Maria Crivei |
| 2019 | KES | Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. | Gabriela Czibula, Andrei Mihai, Eugen Mihulet, Daniel Teodorovici |
| 2019 | KES | Untitled record | Vlad-Sebastian Ionescu, Zsuzsanna Onet-Marian, Marin-Georgian Badita, Gabriela Czibula, Mihai-Ioan Popescu, Jilles Steeve Dibangoye, Olivier Simonin |
| 2019 | KES | Untitled record | Diana-Lucia Miholca, Gabriela Czibula |
| 2019 | KSEM | ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques. | Silvana Iuliana Albert, Gabriela Czibula |
| 2019 | KSEM | A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students. | Liana Maria Crivei, Gabriela Czibula, Andrei Mihai |
| 2019 | KSEM | Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code. | Diana-Lucia Miholca, Gabriela Czibula |
| 2019 | KSEM | AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders. | Mihai Teletin, Gabriela Czibula, Carmina Codre |
| 2019 | SACI | Using clustering models for uncovering proteins' structural similarity. | Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor |
| 2018 | ICANN | Deep Autoencoders for Additional Insight into Protein Dynamics. | Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini |
| 2018 | KES | A new incremental relational association rules mining approach. | Diana-Lucia Miholca, Gabriela Czibula, Liana Maria Crivei |
| 2018 | KES | Using unsupervised learning methods for enhancing protein structure insight. | Mihai Teletin, Gabriela Czibula, Silvana Iuliana Albert, Maria-Iuliana Bocicor |
| 2018 | SACI | Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data. | Silvana Iuliana Albert, Gabriela Czibula, Mihai Teletin |
| 2017 | ICSoft | An Improved Approach for Class Test Ordering Optimization using Genetic Algorithms. | Istvn Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian |
| 2017 | ICSoft | Identifying Class Integration Test Order Using an Improved Genetic Algorithm-Based Approach. | Istvn Gergely Czibula, Gabriela Czibula, Zsuzsanna Marian |
| 2017 | SYNASC | An Unsupervised Learning Based Conceptual Coupling Measure. | Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, Istvn Gergely Czibula |
| 2017 | SYNASC | A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level. | Zsuzsanna Marian, Istvn Gergely Czibula, Gabriela Czibula |
| 2016 | SOFA | Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology. | Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin |
| 2016 | SOFA | A Reinforcement Learning Based Approach to Multiple Sequence Alignment. | Ioan-Gabriel Mircea, Iuliana M. Bocicor, Gabriela Czibula |
| 2016 | SYNASC | A Novel Approach for Software Defect Prediction Using Fuzzy Decision Trees. | Zsuzsanna Marian, Ioan-Gabriel Mircea, Istvn Gergely Czibula, Gabriela Czibula |
| 2016 | SYNASC | Machine Learning Based Approaches for Sex Identification in Bioarchaeology. | Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, Istvn Gergely Czibula |
| 2014 | SYNASC | Dynamic Clustering of Gene Expression Data Using a Fuzzy Approach. | Adela-Maria Sirbu, Gabriela Czibula, Maria-Iuliana Bocicor |
| 2011 | SYNASC | A Reinforcement Learning Approach for Solving the Fragment Assembly Problem. | Maria-Iuliana Bocicor, Gabriela Czibula, Istvn Gergely Czibula |
| 2009 | SYNASC | Dynamic Customization of Data Structures Instances Using an Agent Based Approach. | Istvn Gergely Czibula, Gabriela Czibula, Adriana Mihaela Guran |
| 2008 | SYNASC | Clustering Based Automatic Refactorings Identification. | Istvn Gergely Czibula, Gabriela Czibula |