ProfessorsProfessors of Karadeniz Teknik ÜniversitesiErcüment Yılmaz

Ercüment Yılmaz

Karadeniz Teknik Üniversitesi

H-index: 6

Asia-Turkey

About Ercüment Yılmaz

Ercüment Yılmaz, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Karadeniz Teknik Üniversitesi, specializes in the field of Biomedical Image Processing, Deep Learning, Machine Learning, Traffic Simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

A toolbox of machine learning software to support microbiome analysis

A modified EfficientNet Model for the classification of Toxoplasmosis disease on OCT Images

SARS-CoV-2 Ana Proteaz Enzimine Yönelik Antiviral Bileşiklerin Bilgisayar Destekli İlaç Tasarımı Yöntemleri ile Değerlendirilmesi

A modified version of GoogLeNet for melanoma diagnosis

Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions

Melanoma detection using deep learning

Benign and Malignant Skin Lesion Classification Comparison for Three Deep-Learning Architectures

Ercüment Yılmaz Information

University	Karadeniz Teknik Üniversitesi
Position	Department of Informatics
Citations(all)	211
Citations(since 2020)	201
Cited By	44
hIndex(all)	6
hIndex(since 2020)	6
i10Index(all)	6
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Karadeniz Teknik Üniversitesi
Google Scholar	View Google Scholar Profile

Ercüment Yılmaz Skills & Research Interests

Biomedical Image Processing

Deep Learning

Machine Learning

Traffic Simulation

Top articles of Ercüment Yılmaz

Title	Journal	Author(s)	Publication Date
A toolbox of machine learning software to support microbiome analysis		Laura Judith Marcos-Zambrano Víctor Manuel López-Molina Burcu Bakir-Gungor Marcus Frohme Kanita Karaduzovic-Hadziabdic ...	2023/11/22
A modified EfficientNet Model for the classification of Toxoplasmosis disease on OCT Images		Ercument Yilmaz	2023/10/30
SARS-CoV-2 Ana Proteaz Enzimine Yönelik Antiviral Bileşiklerin Bilgisayar Destekli İlaç Tasarımı Yöntemleri ile Değerlendirilmesi	Avrupa Bilim ve Teknoloji Dergisi	Gizem TATAR Ercüment YILMAZ	2021/12/12
A modified version of GoogLeNet for melanoma diagnosis	Journal of Information and Telecommunication	Ercument Yilmaz Maria Trocan	2021/7/3
Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions	Frontiers in microbiology	Isabel Moreno-Indias Leo Lahti Miroslava Nedyalkova Ilze Elbere Gennady Roshchupkin ...	2021/2/22
Melanoma detection using deep learning		Florent Favole Maria Trocan Ercüment Yilmaz	2020/11/23
Benign and Malignant Skin Lesion Classification Comparison for Three Deep-Learning Architectures		Ercument Yilmaz Maria Trocan	2020/3/4