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Onur Sevli Assoc. Prof. Dr. BURDUR MEHMET AKİF ERSOY ÜNİVERSİTESİ
Publication 28 Review 53 CrossRef Cited 60 TR Dizin Cited 31
28 Publication
53 Review
60 CrossRef Cited
31 TR Dizin Cited

Research Fields

Information and Computing Sciences Machine Learning Data Mining and Knowledge Discovery Data Engineering and Data Science Artificial Intelligence Computer Software Bioinformatics and Computational Biology

Institution

BURDUR MEHMET AKİF ERSOY ÜNİVERSİTESİ

Popular Publications

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Diyabet hastalığının farklı sınıflandırıcılar kullanılarak teşhisi
Authors: Onur Sevli
DOI: 10.17341/gazimmfd.880750
CITED 4 FAVORITE 1 TOTAL DOWNLOAD COUNT 1550

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Machine Learning Based Classification for Spam Detection
DOI: 10.16984/saufenbilder.1264476
FAVORITE 0 TOTAL DOWNLOAD COUNT 740

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645

A Deep Learning-Based Classification Study for Diagnosing Corneal Ulcers on Ocular Staining Images
Authors: Onur Sevli
Published: 2023 , Acta Infologica
DOI: 10.26650/acin.1173465
FAVORITE 0 TOTAL DOWNLOAD COUNT 195

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Machine Learning Detection of Collision-Risk Asteroids
Published: 2022 , El-Cezeri
DOI: 10.31202/ecjse.1135651
FAVORITE 0 TOTAL DOWNLOAD COUNT 621

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Predicting Traffic Accident Severity Using Machine Learning Techniques
DOI: 10.46810/tdfd.1136432
FAVORITE 0 TOTAL DOWNLOAD COUNT 2675

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BİLİŞSEL İŞLEM ÜZERİNE BİR İNCELEME
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 1125

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Publications

Deep learning based classification for alzheimer's disease detection using MRI images
DOI: 10.31127/tuje.1434866
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 362

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COMPARATİVE ANALYSİS OF THE CLASSİFİCATİON OF RECYCLABLE WASTES
DOI: 10.59313/jsr-a.1335276
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 645

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645

Diyabet hastalığının farklı sınıflandırıcılar kullanılarak teşhisi
Authors: Onur Sevli
DOI: 10.17341/gazimmfd.880750
CITED 4 FAVORITE 1 TOTAL DOWNLOAD COUNT 1550

4

1

1550

Predicting Traffic Accident Severity Using Machine Learning Techniques
DOI: 10.46810/tdfd.1136432
CITED 6 FAVORITE 0 TOTAL DOWNLOAD COUNT 2675

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Performance Comparison of Different Machine Learning Techniques in Diagnosis of Breast Cancer
Authors: Onur Sevli
DOI: 10.31590/ejosat.553549
CITED 14 FAVORITE 0 TOTAL DOWNLOAD COUNT 6878

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