ProfessorsProfessors of Siirt ÜniversitesiMusa Ataş

Musa Ataş

Siirt Üniversitesi

H-index: 10

Asia-Turkey

About Musa Ataş

Musa Ataş, With an exceptional h-index of 10 and a recent h-index of 8 (since 2020), a distinguished researcher at Siirt Üniversitesi, specializes in the field of Machine Learning, Machine Vision, Image Processing, Robotics, Hyperspectral Imaging.

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

Biometric identification using panoramic dental radiographic images withfew-shot learning

DERİN ÖĞRENME YÖNTEMLERİYLE CİLT LEZYONLARININ SINIFLANDIRMASI: CNN, MLP-MIXER ve VIT

OTONOM ARAÇLAR İÇİN JAVA TABANLI YAZILIM MİMARİSİ ÖNERİSİ

Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater

Forensic dental age estimation using modified deep learning neural network

Development of automatic tree counting software from uav based aerial images with machine learning

A machine learning approach to dental fluorosis classification

Musa Ataş Information

University	Siirt Üniversitesi
Position	Bilgisayar Mühendisliği
Citations(all)	381
Citations(since 2020)	257
Cited By	187
hIndex(all)	10
hIndex(since 2020)	8
i10Index(all)	11
i10Index(since 2020)	7
Email	Access Email
University Profile Page	Siirt Üniversitesi
Google Scholar	View Google Scholar Profile

Musa Ataş Skills & Research Interests

Machine Learning

Machine Vision

Image Processing

Robotics

Hyperspectral Imaging

Top articles of Musa Ataş

Title	Journal	Author(s)	Publication Date
Biometric identification using panoramic dental radiographic images withfew-shot learning	Turkish Journal of Electrical Engineering and Computer Sciences	MUSA ATAŞ Cüneyt Özdemir İSA ATAŞ Burak Ak ESMA ÖZEROĞLU	2022
DERİN ÖĞRENME YÖNTEMLERİYLE CİLT LEZYONLARININ SINIFLANDIRMASI: CNN, MLP-MIXER ve VIT		Öğr Üyesi Yahya DOĞAN Cep No Öğr Üyesi Cüneyt ÖZDEMİR Musa ATAŞ	2022/11/18
OTONOM ARAÇLAR İÇİN JAVA TABANLI YAZILIM MİMARİSİ ÖNERİSİ		Arş Gör Semra ÇELEBİ Musa ATAŞ	2022/11/18
Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater	Environmental Geochemistry and Health	Musa Ataş Mehmet İrfan Yeşilnacar Ayşegül Demir Yetiş	2022/11
Forensic dental age estimation using modified deep learning neural network	Balkan Journal of Electrical and Computer Engineering	ATAŞ İsa Cüneyt Özdemir ATAŞ Musa Yahya Doğan	2022/8/21
Development of automatic tree counting software from uav based aerial images with machine learning	arXiv preprint arXiv:2201.02698	Musa Ataş Ayhan Talay	2022/1/7
A machine learning approach to dental fluorosis classification	Arabian Journal of Geosciences	Musa Atas Aysegul Demir Yetis Mehmet Irfan Yesilnacar	2021/1/15