Vlad-Ioan Tomescu

According to our database, Vlad-Ioan Tomescu authored at least 6 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

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

2021

A study on using deep autoencoders for imbalanced binary classification.

Vlad-Ioan Tomescu, Gabriela Czibula, Stefan Nitica

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps.

George Ciubotariu, Vlad-Ioan Tomescu, Gabriela Czibula

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

2020

FoRConvD: An approach for food recognition on mobile devices using convolutional neural networks and depth maps.

Vlad-Ioan Tomescu

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection.

Stefan Nitica, Gabriela Czibula, Vlad-Ioan Tomescu

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

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

Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020