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Vlad-Ioan Tomescu

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2020 – today

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2022
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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: 64801-64818 (2022)
2021
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  - conf/icvs/CiubotariuTC21
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George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula:
Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps. ICVS 2021: 68-81
[c4]
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  - conf/kes/TomescuCN21
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Vlad-Ioan Tomescu, Gabriela Czibula, Stefan Nitica:
A study on using deep autoencoders for imbalanced binary classification. KES 2021: 119-128
2020
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Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu:
COMET: A conceptual coupling based metrics suite for software defect prediction. KES 2020: 31-40
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  - conf/saci/NiticaCT20
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Stefan Nitica, Gabriela Czibula, Vlad-Ioan Tomescu:
A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection. SACI 2020: 99-104
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Vlad-Ioan Tomescu:
FoRConvD: An approach for food recognition on mobile devices using convolutional neural networks and depth maps. SACI 2020: 129-134

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