Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Dionysis Goularas"'
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 14, Iss 2, Pp 155-167 (2021)
International Engineering Accreditation (IEA) organization measure and improve the quality of the engineering education in universities. This paper presents a framework for Software Engineering Education in line with the IEA criteria. A multidiscipli
Externí odkaz:
https://doaj.org/article/81e5eb53a7804905a5d9aa1419e4a9ee
Publikováno v:
Applied Bionics and Biomechanics, Vol 4, Iss 3, Pp 111-124 (2007)
In this article, we present a 3D specific dental plaster treatment system for orthodontics. From computer tomography scanner images, we propose first a 3D image modelling and reconstruction method of the Mandible and Maxillary based on an adaptive tr
Externí odkaz:
https://doaj.org/article/3fb8ee4b880a44d59aefdc384cd217fe
Autor:
Fusun Er, Dionysis Goularas
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:1164-1173
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system we are usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5fa138a2363dc1031bc801dcaeb984a
https://doi.org/10.1109/tcbb.2020.3017872
https://doi.org/10.1109/tcbb.2020.3017872
Autor:
Dionysis Goularas, Yusuf Can Semerci
Publikováno v:
Journal of Educational Computing Research. 59:960-987
Estimating the flow state of students in a course allows evaluating their sentimental state and the challenges they are facing. In e-learning platforms, the evaluation of flow state is a complex task because it depends on the ability to extract the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe890575da4dca9c9d9a3ba91d7e2f5a
https://doi.org/10.1177/0735633120979836
https://doi.org/10.1177/0735633120979836
Autor:
Ipek Cebi, Dionysis Goularas
Publikováno v:
2021 International Conference on Computer, Information and Telecommunication Systems (CITS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8596e897aed6a6ef8bbdd49b0feb4026
https://doi.org/10.1109/cits52676.2021.9618238
https://doi.org/10.1109/cits52676.2021.9618238
Publikováno v:
Volume: 4, Issue: 2 65-75
Journal of Intelligent Systems: Theory and Applications
Journal of Intelligent Systems: Theory and Applications
In the domain of Natural Language Processing (NLP), despite the progress made for some common languages, difficulties persist for many others for the completion of particular NLP tasks. In this scope, the current study aims to explore these challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0ee2c4f8410da6ed0baf7b23d5644b5
https://dergipark.org.tr/tr/pub/jista/issue/61285/815823
https://dergipark.org.tr/tr/pub/jista/issue/61285/815823
Autor:
Dionysis Goularas, Kursat Cinar
Publikováno v:
IPTA
This paper presents a method for the recognition of music notes from the Hamparsum music notation system. This notation was widely used during the last two centuries of the Ottoman Empire and it is still in use today. The Hamparsum notation presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcfdc0aa71dbdcdf8c731681232a2b22
https://doi.org/10.1109/ipta.2019.8936130
https://doi.org/10.1109/ipta.2019.8936130
Autor:
Dionysis Goularas, Sani Kamis
Publikováno v:
2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML).
This study presents a comparison of different deep learning methods used for sentiment analysis in Twitter data. In this domain, deep learning (DL) techniques, which contribute at the same time to the solution of a wide range of problems, gained popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0fc7ec9cb0a46b7004f8145736343dc
https://doi.org/10.1109/deep-ml.2019.00011
https://doi.org/10.1109/deep-ml.2019.00011
WOS: 000405535800039
PubMed ID: 28347685
Background and aim: This study aims to examine the distinguishability of age-related cognitive decline (ARCD) from dementias based on some neurocognitive tests using machine learning. Materials and m
PubMed ID: 28347685
Background and aim: This study aims to examine the distinguishability of age-related cognitive decline (ARCD) from dementias based on some neurocognitive tests using machine learning. Materials and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed1ad7e36eae2a14e15cdc69bf1c812d
https://hdl.handle.net/20.500.11831/98
https://hdl.handle.net/20.500.11831/98
Autor:
Dionysis Goularas, Christine Berge
Publikováno v:
Journal of Human Evolution. 58:262-272
The purpose of this study is to propose a new reconstruction of the australopithecine Sts 14 pelvis from original fossils. Digital models created from CT images allow us to perform mirroring operations, select valid regions after digital interpositio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06ef2224d6f79d87432243f2a845b60c
https://doi.org/10.1016/j.jhevol.2009.11.006
https://doi.org/10.1016/j.jhevol.2009.11.006