Diana-Lucia Miholca

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 16

Top Topics

Association Rules Mining

Software Defect Prediction

Unsupervised Learning

Sample Selection Bias

Top Venues

Publications

Diana-Lucia Miholca, Zsuzsanna Onet-Marian
Source-Code Embedding-Based Software Defect Prediction. ICSOFT (2023)
Diana-Lucia Miholca, Zsuzsanna Onet-Marian
On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction. ICSOFT (Selected Papers) (2023)
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)
Diana-Lucia Miholca
New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction. SYNASC (2021)
Diana-Lucia Miholca, Zsuzsanna Onet-Marian
An analysis of aggregated coupling's suitability for software defect prediction. SYNASC (2020)
Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu
COMET: A conceptual coupling based metrics suite for software defect prediction. 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, István Gergely Czibula, Diana-Lucia Miholca, Liana Maria Crivei
A novel concurrent relational association rule mining approach. Expert Syst. Appl. 125 (2019)
Diana-Lucia Miholca, Gabriela Czibula
A dynamic approach to mining gradual relational association rules. KES (2019)
Diana-Lucia Miholca, Gabriela Czibula, Liana Maria Crivei
A new incremental relational association rules mining approach. KES (2018)
Diana-Lucia Miholca
An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model. SYNASC (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)
Diana-Lucia Miholca, Adrian Onicas
Detecting depression from fMRI using relational association rules and artificial neural networks. ICCP (2017)
Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula
An Unsupervised Learning Based Conceptual Coupling Measure. SYNASC (2017)
Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, István Gergely Czibula
Machine Learning Based Approaches for Sex Identification in Bioarchaeology. SYNASC (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)