Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vlad-Ioan Tomescu"'
Publikováno v:
IEEE Access, Vol 10, Pp 64801-64818 (2022)
Software Defects Prediction represents an essential activity during software development that contributes to continuously improving software quality and software maintenance and evolution by detecting defect-prone modules in new versions of a softwar
Externí odkaz:
https://doaj.org/article/cdd01ca0f48f4f5e8ef60d5543ce902b
Publikováno v:
KES
Imbalanced classification represents a challenge for supervised learning, as an unequal distribution of classes in the training data set is mainly connected to poor predictive performance for the minority class. However, usually the minority class is
Publikováno v:
KES
Identifying defective software components is an essential activity during software development which contributes to continuously improving the software quality. Since relatively numerous defects are due to violated software dependencies, coupling met
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030871550
ICVS
ICVS
This paper approaches a problem from Computer Vision, that of classifying indoor and outdoor images using machine learning and deep learning models. To do so, we are going to perform an unsupervised learning based analysis with the aim of determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43ab67d05b2f87a3050f421856d8f9ac
https://doi.org/10.1007/978-3-030-87156-7_6
https://doi.org/10.1007/978-3-030-87156-7_6
Autor:
Vlad-Ioan Tomescu
Publikováno v:
SACI
Proper nutrition is fundamental for a healthy lifestyle, especially in our modern world where many diseases could be avoided with the right diet. The paper introduces an approach FoRConvD (Food Recognition using Convolutional neural networks and dept
Publikováno v:
SACI
As stated by the World Health Organisation, breast cancer is the most frequent form of cancer among women, being responsible for 15% of all cancer-related deaths in this group. A lot of research has been carried out, so far, in using various machine