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

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

Detecting depression from fMRI using relational association rules and artificial neural networks. - Diana-Lucia Miholca; Adrian Onicas (ICCP, 2017)

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

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

An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model. - Diana-Lucia Miholca (SYNASC, 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)

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

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)

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

An analysis of aggregated coupling's suitability for software defect prediction. - Diana-Lucia Miholca; Zsuzsanna Onet-Marian (SYNASC, 2020)

New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction. - Diana-Lucia Miholca (SYNASC, 2021)

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)

Source-Code Embedding-Based Software Defect Prediction. - Diana-Lucia Miholca; Zsuzsanna Onet-Marian (ICSOFT, 2023)

On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction. - Diana-Lucia Miholca; Zsuzsanna Onet-Marian (ICSOFT (Selected Papers), 2023)

Cross-Version Defect Prediction: Does Excessive Train-Test Similarity Affect the Reliability of Evaluation? - Zsuzsanna Onet-Marian; Diana-Lucia Hotea (ENASE, 2025)