Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Gabriela Czibula"'
Autor:
Gabriela Czibula, Andrei Bratu
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Data augmentation is a commonly used technique in data science for improving the robustness and performance of machine learning models. The purpose of the paper is to study the feasibility of generating synthetic data points of temporal nature toward
Publikováno v:
KES
Authorship attribution is the task of determining the likely author of a given text, with applications in domains such as literature and literary history, social network analysis, software engineering and cybersecurity. AutoAt, a deep autoencoder-bas
Publikováno v:
KES
Due to the increasing number of severe phenomena in many regions of the world, weather nowcasting, which is the weather forecast for a short time period, is one of the most challenging topics in meteorology. The weather radar and satellite are essent
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:
Mathematics, Vol 9, Iss 2870, p 2870 (2021)
Mathematics
Volume 9
Issue 22
Mathematics
Volume 9
Issue 22
Understanding students’ learning processes and education-related phenomena by extracting knowledge from educational data sets represents a continuous interest in the educational data mining domain. Due to an accelerated expansion of online learning
Publikováno v:
KES
This paper analyses the problem of predicting students’ academic performance, a subject that is increasingly investigated within the Educational Data Mining literature. For a better understanding of the educational related phenomena, there is a con
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:
Sergiu Cosmin Nistor, Gabriela Czibula
Publikováno v:
Expert Systems with Applications. 187:115945
Deep learning is in a continuous evolution and many domains benefit from this substantial progress in the development of intelligent solutions. While this progress has been swift, there are more and more applications and the specific requirements of
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