Author

Diana-Lucia Miholca

Observed names: D.L. Miholca, Diana Lucia Miholca, Miholca Diana-Lucia, Miholca, Diana

Observed institution: Babeș-Bolyai University

ORCID: 0000-0002-3832-7848

Observed ORCID: 0000-0002-3832-7848

OpenAlex ID: A5081215249

A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks

2018 · Diana-Lucia Miholca, Gabriela Czibula, et al. · Information Sciences · 123

A novel concurrent relational association rule mining approach

2019 · Gabriela Czibula, Istvan Gergely Czibula, et al. · Expert Systems with Applications · 42

Machine learning-based approaches for predicting stature from archaeological skeletal remains using long bone lengths

2016 · Gabriela Czibula, Vlad-Sebastian Ionescu, et al. · Journal of Archaeological Science · 23

An in-Depth Analysis of the Software Features’ Impact on the Performance of Deep Learning-Based Software Defect Predictors

2022 · Diana-Lucia Miholca, Vlad-Ioan Tomescu, et al. · IEEE Access · 21

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Machine-Learning-Based Approaches for Multi-Level Sentiment Analysis of Romanian Reviews

2024 · Anamaria Briciu, Alina-Delia Călin, et al. · Mathematics · 20

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An aggregated coupling measure for the analysis of object-oriented software systems

2018 · Istvan Gergely Czibula, Gabriela Czibula, et al. · Journal of Systems and Software · 14

COMET: A conceptual coupling based metrics suite for software defect prediction

2020 · Diana-Lucia Miholca, Gabriela Czibula, et al. · Procedia Computer Science · 12

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A new incremental relational association rules mining approach

2018 · Diana-Lucia Miholca, Gabriela Czibula, et al. · Procedia Computer Science · 11

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An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model

2018 · Diana-Lucia Miholca · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · 10

Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code

2019 · Diana-Lucia Miholca, Gabriela Czibula · Lecture notes in computer science · 9

Detecting depression from fMRI using relational association rules and artificial neural networks

2017 · Diana-Lucia Miholca, Adrian Onicas · IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) · 6

New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction

2021 · Diana-Lucia Miholca · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · 5

An analysis of aggregated coupling's suitability for software defect prediction

2020 · Diana-Lucia Miholca, Zsuzsanna Onet-Marian · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · 5

Machine Learning Based Approaches for Sex Identification in Bioarchaeology

2016 · Diana-Lucia Miholca, Gabriela Czibula, et al. · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · 4

An Adaptive Gradual Relational Association Rules Mining Approach

2018 · D.L. Miholca · Studia Universitatis Babeș-Bolyai Informatica · 3

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An Unsupervised Learning Based Conceptual Coupling Measure

2017 · Diana-Lucia Miholca, Gabriela Czibula, et al. · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · 3

Source-Code Embedding-Based Software Defect Prediction

2023 · Diana-Lucia Miholca, Zsuzsanna Oneţ-Marian · International Conference on Software Technologies (ICSOFT) · 2

DynGRAR: A dynamic approach to mining gradual relational association rules

2019 · Diana-Lucia Miholca, Gabriela Czibula · Procedia Computer Science · 2

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Identifying Hidden Dependencies in Software Systems

2017 · Istvan Gergely Czibula, Gabriela Czibula, et al. · Studia Universitatis Babeș-Bolyai Informatica · 1

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On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction

2024 · Diana-Lucia Miholca, Zsuzsanna Oneţ-Marian · Communications in computer and information science

An analysis of the aggregated coupling’s suitability for software defect prediction

2020 · Onet-Marian Zsuzsanna, Miholca, Diana · Figshare

Machine Learning Based Approaches for Sex Identification in Bioarchaeology

2016 · Miholca Diana-Lucia, Czibula Gabriela, et al. · IEEE Conference Proceedings

生物考古学における性同定のための機械学習に基づくアプローチ【Powered by NICT】

2016 · Miholca Diana-Lucia, Czibula Gabriela, et al. · IEEE Conference Proceedings

Instance based learning approaches for predicting the height of human skeletons

2015 · Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, et al. · IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

Works count: 24

Citation count: 316

H-index: 9

I10-index: 9