ProfessorsProfessors of Ege Üniversitesiserdar korukoğlu

serdar korukoğlu

Ege Üniversitesi

H-index: 18

Asia-Turkey

About serdar korukoğlu

serdar korukoğlu, With an exceptional h-index of 18 and a recent h-index of 13 (since 2020), a distinguished researcher at Ege Üniversitesi, specializes in the field of System Modeling and Simulation, Computational Methods, Statistical Analysis, Data Mining, Optimization Techniques.

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

Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti

Stress detection on smartphone data with a machine learning approach based on Mahalanobis distance-based outlier finding and ReliefF feature selection

AKILLI TELEFON VERİLERİ VE MAKİNE ÖĞRENMESİ YÖNTEMLERİ KULLANILARAK STRES TESPİTİ ÇALIŞMALARI ÜZERİNE BİR LİTERATÜR ARAŞTIRMASI

An improved ant-based algorithm based on heaps merging and fuzzy c-means for clustering cancer gene expression data

serdar korukoğlu Information

University	Ege Üniversitesi
Position	Computer Engineering
Citations(all)	2747
Citations(since 2020)	2012
Cited By	1192
hIndex(all)	18
hIndex(since 2020)	13
i10Index(all)	22
i10Index(since 2020)	14
Email	Access Email
University Profile Page	Ege Üniversitesi
Google Scholar	View Google Scholar Profile

serdar korukoğlu Skills & Research Interests

System Modeling and Simulation

Computational Methods

Statistical Analysis

Data Mining

Optimization Techniques

Top articles of serdar korukoğlu

Title	Journal	Author(s)	Publication Date
Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti	Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi	Ensar Arif Sağbaş Serdar Korukoğlu Serkan BALLI	2022/4/4
Stress detection on smartphone data with a machine learning approach based on Mahalanobis distance-based outlier finding and ReliefF feature selection	Pamukkale University Journal of Engineering Sciences	Ensar Arif Sağbaş Serdar Korukoğlu Serkan Ballı	2022
AKILLI TELEFON VERİLERİ VE MAKİNE ÖĞRENMESİ YÖNTEMLERİ KULLANILARAK STRES TESPİTİ ÇALIŞMALARI ÜZERİNE BİR LİTERATÜR ARAŞTIRMASI		Ensar Arif SAĞBAŞ Serdar KORUKOĞLU Serkan BALLI	2021/9/9
An improved ant-based algorithm based on heaps merging and fuzzy c-means for clustering cancer gene expression data	Sādhanā	Hasan Bulut Aytuğ Onan Serdar Korukoğlu	2020/12