A new logic architecture for Intelligent Agents. - Gabriela Serban (APPIA-GULP-PRODE, 2003)

Word Sense Disambiguation for Untagged Corpus: Application to Romanian Language. - Gabriela Serban; Doina Tatar (CICLing, 2003)

How to build a QA system in your back-garden: application for Romanian. - Constantin Orasan; Doina Tatar; Gabriela Serban; Dana Lupsa; Adrian Onet (EACL, 2003)

An Improved Algorithm on Word Sense Disambiguation. - Gabriela Serban; Doina Tatar (IIS, 2003)

UBB system at Senseval-3. - Gabriela Serban; Doina Tatar (SENSEVAL@ACL, 2004)

A New Incremental Core-Based Clustering Method. - Alina Campan; Gabriela Serban (AIAI, 2005)

A New Programming Interface for Reinforcement Learning Simulations. - Gabriela Serban (Intelligent Information Systems, 2005)

Incremental Clustering Using a Core-Based Approach. - Gabriela Serban; Alina Campan (ISCIS, 2005)

A New Core-Based Method for Hierarchical Incremental Clustering. - Gabriela Serban; Alina Campan (SYNASC, 2005)

Adaptive Clustering Algorithms. - Alina Campan; Gabriela Serban (Canadian AI, 2006)

An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules. - Alina Campan; Gabriela Serban; Traian Marius Truta; Andrian Marcus (DMIN, 2006)

A New k-means Based Clustering Algorithm in Aspect Mining. - Gabriela Serban; Grigoreta Sofia Moldovan (SYNASC, 2006)

On some criteria for comparing aspect mining techniques. - Grigoreta Sofia Cojocar; Gabriela Serban (LATE@AOSD, 2007)

A Learning Interface Agent for User Behavior Prediction. - Gabriela Serban; Adriana Tarta; Grigoreta Sofia Moldovan (HCI (3), 2007)

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)

Top-Down Cohesion Segmentation in Summarization. - Doina Tatar; Andreea Diana Mihis; Gabriela Serban (STEP, 2008)

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)

Lexical Chains Segmentation in Summarization. - Doina Tatar; Andreea Diana Mihis; Gabriela Serban Czibula (SYNASC, 2008)

A chain dictionary method for Word Sense Disambiguation and applications - Doina Tatar; Gabriela Serban; Andreea Diana Mihis; Mihaiela Lupea; Dana Lupsa; Militon Frentiu (CoRR, 2008)

Hierarchical Adaptive Clustering. - Gabriela Serban; Alina Campan (Informatica, 2008)

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

Textual Entailment as a Directional Relation. - Doina Tatar; Gabriela Serban Czibula; Andreea Diana Mihis; Rada Flavia Mihalcea (J. Res. Pract. Inf. Technol., 2009)

A Hierarchical Clustering Based Approach in Aspect Mining. - Gabriela Czibula; Grigoreta Sofia Cojocar (Comput. Informatics, 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)

Text Segmentation Using Roget-Based Weighted Lexical Chains. - Doina Tatar; Diana Inkpen; Gabriela Czibula (Comput. Informatics, 2013)

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)

Dynamic Clustering of Gene Expression Data Using a Fuzzy Approach. - Adela-Maria Sirbu; Gabriela Czibula; Maria-Iuliana Bocicor (SYNASC, 2014)

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)

Instance based learning approaches for predicting the height of human skeletons. - Vlad-Sebastian Ionescu; Ioan-Gabriel Mircea; Diana-Lucia Miholca; Gabriela Czibula (ICCP, 2015)

A Q-learning approach for aligning protein sequences. - Ioan-Gabriel Mircea; Gabriela Czibula; Maria-Iuliana Bocicor (ICCP, 2015)

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)

Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology. - Vlad-Sebastian Ionescu; Gabriela Czibula; Mihai Teletin (SOFA (2), 2016)

A Reinforcement Learning Based Approach to Multiple Sequence Alignment. - Ioan-Gabriel Mircea; Iuliana M. Bocicor; Gabriela Czibula (SOFA (2), 2016)

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)

HACGA: An artifacts-based clustering approach for malware classification. - Oliviu-Bogdan Botocan; Gabriela Czibula (ICCP, 2017)

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)

Deep Autoencoders for Additional Insight into Protein Dynamics. - Mihai Teletin; Gabriela Czibula; Maria-Iuliana Bocicor; Silvana Iuliana Albert; Alessandro Pandini (ICANN (2), 2018)

KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps. - Casian-Nicolae Marc; Gabriela Czibula (ICCP, 2018)

Optimizing Convolutional Neural Networks for low-resource devices. - Cosmin-Ionut Rusu; Gabriela Czibula (ICCP, 2018)

A new incremental relational association rules mining approach. - Diana-Lucia Miholca; Gabriela Czibula; Liana Maria Crivei (KES, 2018)

Using unsupervised learning methods for enhancing protein structure insight. - Mihai Teletin; Gabriela Czibula; Silvana Iuliana Albert; Maria-Iuliana Bocicor (KES, 2018)

Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data. - Silvana Iuliana Albert; Gabriela Czibula; Mihai Teletin (SACI, 2018)

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)

Analyzing Meteorological Data Using Unsupervised Learning Techniques. - Andrei Mihai; Gabriela Czibula; Eugen Mihulet (ICCP, 2019)

S PRAR: A novel relational association rule mining classification model applied for academic performance prediction. - Gabriela Czibula; Andrei Mihai; Liana Maria Crivei (KES, 2019)

Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. - Gabriela Czibula; Andrei Mihai; Eugen Mihulet; Daniel Teodorovici (KES, 2019)

DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling. - Vlad-Sebastian Ionescu; Zsuzsanna Onet-Marian; Marin-Georgian Badita; Gabriela Czibula; Mihai-Ioan Popescu; Jilles Steeve Dibangoye; Olivier Simonin 001 (KES, 2019)

DynGRAR: A dynamic approach to mining gradual relational association rules. - Diana-Lucia Miholca; Gabriela Czibula (KES, 2019)

ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques. - Silvana Iuliana Albert; Gabriela Czibula (KSEM (1), 2019)

A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students. - Liana Maria Crivei; Gabriela Czibula; Andrei Mihai (KSEM (1), 2019)

Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code. - Diana-Lucia Miholca; Gabriela Czibula (KSEM (1), 2019)

AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders. - Mihai Teletin; Gabriela Czibula; Carmina Codre (KSEM (2), 2019)

Using clustering models for uncovering proteins' structural similarity. - Mihai Teletin; Gabriela Czibula; Maria-Iuliana Bocicor (SACI, 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)

COMET: A conceptual coupling based metrics suite for software defect prediction. - Diana-Lucia Miholca; Gabriela Czibula; Vlad-Ioan Tomescu (KES, 2020)

Analysing protein dynamics using machine learning based generative models. - Alexandra-Ioana Albu; Gabriela Czibula (SACI, 2020)

Unsupervised learning based mining of academic data sets for students' performance analysis. - Liana Maria Crivei; Gabriela Czibula; George Ciubotariu; Mariana Dindelegan (SACI, 2020)

A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection. - Stefan Nitica; Gabriela Czibula; Vlad-Ioan Tomescu (SACI, 2020)

XNow: A deep learning technique for nowcasting based on radar products' values prediction. - Ioana Angela Socaci; Gabriela Czibula; Vlad-Sebastian Ionescu; Andrei Mihai (SACI, 2020)

CVSimP: An approach for predicting proteins' structural similarity using one-shot learning. - Mihai Teletin; Gabriela Czibula (SACI, 2020)

A machine learning approach for data protection in virtual reality therapy applications. - Maria-Madalina Mircea; Rares F. Boian; Gabriela Czibula (ICCP, 2021)

Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps. - George Ciubotariu; Vlad-Ioan Tomescu; Gabriela Czibula (ICVS, 2021)

AutoAt: A deep autoencoder-based classification model for supervised authorship attribution. - Anamaria Briciu; Gabriela Czibula; Mihaiela Lupea (KES, 2021)

DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes. - Vlad-Sebastian Ionescu; Gabriela Czibula; Eugen Mihulet (KES, 2021)

A study on using deep autoencoders for imbalanced binary classification. - Vlad-Ioan Tomescu; Gabriela Czibula; Stefan Nitica (KES, 2021)

AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction. - Gabriela Czibula; Alexandra-Ioana Albu; Maria-Iuliana Bocicor; Camelia Chira (Entropy, 2021)

AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders. - Gabriela Czibula; Carmina Codre; Mihai Teletin (Expert Syst. Appl., 2021)

DAuGAN: An Approach for Augmenting Time Series Imbalanced Datasets via Latent Space Sampling Using Adversarial Techniques. - Andrei Bratu; Gabriela Czibula (Sci. Program., 2021)

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

MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks. - George Ciubotariu; Gabriela Czibula (IEEE Access, 2022)

IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining. - Gabriela Czibula; George Ciubotariu; Mariana-Ioana Maier; Hannelore Lisei (IEEE Access, 2022)

An in-Depth Analysis of the Software Features' Impact on the Performance of Deep Learning-Based Software Defect Predictors. - Diana-Lucia Miholca; Vlad-Ioan Tomescu; Gabriela Czibula (IEEE Access, 2022)

IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach. - Sergiu Cosmin Nistor; Gabriela Czibula (Expert Syst. Appl., 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)

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game. - Mali Imre Gergely; Gabriela Czibula (ESANN, 2023)

A Generative Modelling-based Approach for Text-to-Speech Synthesis in Romanian Language. - Marincas Casian; Gabriela Czibula (ICCP, 2023)

Im2Vide0: A Zero-Shot approach using diffusion models for natural language conditioned Image-to-Video. - Paul-Dumitru Orasan; Gabriela Czibula (ICCP, 2023)

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)

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 (KES, 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)

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 (KES, 2023)

MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction. - Alexandra-Ioana Albu; Maria-Iuliana Bocicor; Gabriela Czibula (Comput. Biol. Medicine, 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)

Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification. - Paul-Dumitru Orasan; Alexandra-Ioana Albu; Gabriela Czibula (ICAART (3), 2025)

CAMMA: A Deep Learning-Based Approach for Cascaded Multi-Task Medical Vision Question Answering. - Teodora-Alexandra Toader; Alexandru Manole; Gabriela Czibula (ICAART (3), 2025)

Automatic code generation based on Abstract Syntax-based encoding. Application on malware detection code generation based on MITRE ATT&CK techniques. - Alexandru-Gabriel Sirbu; Gabriela Czibula (Expert Syst. Appl., 2025)