Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Erkan Yasar"'
1
Akademický článek
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings
Autor: Remzi Celebi, Huseyin Uyar, Erkan Yasar, Ozgur Gumus, Oguz Dikenelli, Michel Dumontier
Publikováno v: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potential safety issues, but
Externí odkaz: https://doaj.org/article/148701da74aa40189c3eb3421e8921c5
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2
Comparison of different classification algorithms to identify geographic origins of olive oils
Autor: Erkan Yasar, Hasan Ertaş, Özgür Gümüs, Z. Pinar Gumus
Publikováno v: J Food Sci Technol
Research on investigation and determination of geographic origins of olive oils is increased by consumers’ demand to authenticated olive oils. Classification algorithms which are machine learning methods can be employed for the authentication of ol
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d173cc7424b217e59c061c8c74024f76
https://doi.org/10.1007/s13197-019-04189-4
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3
Classification of olive oils using chromatography, principal component analysis and artificial neural network modelling
Autor: Z. Pinar Gumus, Erkan Yasar, Hasan Ertaş, Özgür Gümüs
Publikováno v: Journal of Food Measurement and Characterization. 12:1325-1333
Classification and addressing, and geographical origin of different olive oils is of great importance due to their differentiation in quality, and for commercial concerns. In this study, quantification of sterols, fatty acids, and triacylglycerol com
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::112f2505af605657129625383a09072b
https://doi.org/10.1007/s11694-018-9746-z
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4
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings
Autor: Huseyin Uyar, Erkan Yasar, Özgür Gümüs, Michel Dumontier, Oguz Dikenelli, Remzi Celebi
Publikováno v: BMC Bioinformatics
BMC Bioinformatics, 20(1):726. BioMed Central Ltd
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Uyar, Huseyin/0000-0001-9801-1709; Celebi, Remzi/0000-0001-7769-4272
WOS: 000511609600003
PubMed: 31852427
Background: Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d9e575327db85052da990d6fc4715d8
https://pubmed.ncbi.nlm.nih.gov/31852427
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5
Science Museum Exhibits’ Summative Evaluation with Knowledge Hierarchy Method
Autor: Erkan Yasar, Cem Gürel
Publikováno v: European Journal of Physics Education. 7
It is aimed in this research to measure via knowledge hierarchy the things learned by the visitors of the exhibits and compare them with the purpose that the exhibits are designed for, thereby realizing a summative evaluation of the exhibits. The res
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2060e3bc119225e38f8bb34754ebb1e9
https://doi.org/10.20308/ejpe.60470
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6
Prediction of Drug-Drug Interactions Using Pharmacological Similarities of Drugs
Autor: Erkan Yasar, Özgür Gümüs, Remzi Celebi, Oguz Dikenelli, Vahab Mostafapour
Publikováno v: DEXA Workshops
2015 26th International Workshop on Database and Expert Systems Applications (DEXA), 14-17
STARTPAGE=14;ENDPAGE=17;TITLE=2015 26th International Workshop on Database and Expert Systems Applications (DEXA)
Detection of potential Drug-Drug Interactions (DDIs) can reduce the costs associated drug administration and drug developments. It can also prevent serious adverse drug reactions possibly causing death. In this work, we have employed Rooted Page Rank
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5485852ba6908b1c4f4e57583a584539
https://doi.org/10.1109/dexa.2015.23
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8
Link Prediction for Drug-Drug Interaction Network
Autor: Remzi Çelebi, Vahab Mostafapour, Erkan Yasar, Hayriye Çelikbilek, Sabrine Missaoui, Ozgur Gumus, Oguz Dikenelli
Publikováno v: International Conference on Applied Informatics for Health and Life Sciences, 99-102
STARTPAGE=99;ENDPAGE=102;TITLE=International Conference on Applied Informatics for Health and Life Sciences
Maastricht University
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f1447fac601dad4f566138ceb96e830
https://cris.maastrichtuniversity.nl/en/publications/055290e9-2c11-4b6a-88fd-3b045ffb7ed9
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9
Akademický článek
Machine Learning Classifiers: A Brief Primer
Autor: Abdul Ahad Abro, Abdullah Ayub Khan, Mir Sajjad Hussain Talpur, Idrissa Kayijuka, Erkan Yaşar
Publikováno v: University of Sindh Journal of Information and Communication Technology, Vol 5, Iss 2, Pp 63-68 (2021)
Machine learning is a prominent and an intensively studied field in the artificial intelligence area which assists to enhance the performance of classification. In this paper, the main idea is to provide the classification and comparative analysis of
Externí odkaz: https://doaj.org/article/f1b57f245e85486492bcc7dd1948fde1
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