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Ioana-Gabriela Chelaru
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2020 – today
- 2024
- [c4]Gabriela Czibula, Ioana-Gabriela Chelaru, Arthur Molnar, István Gergely Czibula:
PreSTyDe: Improving the Performance of within-project Defects Prediction by Learning to Classify Types of Software Faults. ENASE 2024: 214-225 - 2023
- [c3]George Ciubotariu, Gabriela Czibula, István Gergely Czibula, Ioana-Gabriela Chelaru:
Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors. ICSOFT 2023: 249-257 - [c2]Gabriela Czibula, Ioana-Gabriela Chelaru, István Gergely Czibula, Arthur-Jozsef Molnar:
An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects. KES 2023: 2644-2653 - [c1]Ioana-Gabriela Chelaru:
Enhancing the performance of software effort estimation through boosting ensemble learning. SYNASC 2023: 300-307
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last updated on 2025-01-09 12:53 CET by the dblp team
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