Vocational School

Vocational School

Academic Members

Ezgi Özer

Ezgi Özer,  Faculty Member, PhD

ezgi.ozer@istinye.edu.tr
https://sites.fct.unl.pt/aspi/pages/eeg-seizure-detection-0

Ezgi Özer, who completed her undergraduate education at Gazi University, Department of Statistics in 2012, completed her master's degree in Statistics at Mimar Sinan Fine Arts University in 2015. She has a PhD degree from Mimar Sinan Fine Arts University, Department of Statistics. She worked as a researcher at the Department of Electrical and Computer Engineering at the University of Nova Lisbon (Portugal) between August 2018 and July 2019 and between May 2021 and April 2022 as part of her doctoral thesis.

Research Areas: Statistical Learning, Deep Learning , Data Science, Signal Processing

Main Areas: İstatistik,  Yapay Öğrenme,  Yapay Zeka, 

Decision Making in Healthcare Systems
2023 - İngilizce, Bilimsel Kitap ISBN: 978-3-031-46734-9
KULAN HANDAN, ÖZER EZGİ
Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP
2022 - Uluslararası Hakemli
Expert System with Applications, KOCADAĞLI OZAN, ÖZER EZGİ, BATISTA ARNALDO
Important factors affecting the transmission rate of COVID-19 in G20 and EU
2022 - Uluslararası Hakemli
Sigma Journal of Engineering and Natural Sciences \u2013 Sigma Mühendislik ve Fen Bilimleri Dergisi, KOCADAĞLI OZAN, KÖSE ALİ MERTCAN, GÖKMEN İNAN NESLİHAN, ÖZER EZGİ, YAMAN KOCADAĞLI AYLİN, Bostancı Ecem
Classification of EEG Signals for Epileptic Seizures Using Linear and Non-linear Classifiers Based Wavelet Transforms and Information Criteria
2019 - Uluslararası Hakemli
Turkiye Klinikleri Journal of Biostatistics, ÖZER EZGİ, KOCADAĞLI OZAN
Classification of EEG Signals For Detection of Epileptic Seizures using Wavelet Transforms and Artificial Neural Networks
Ulusal
Fen Bilimleri ve Matematik Temel Alanı>İstatistik>Yapay Zeka>Yapay Öğrenme ,
Artificial Intelligence and Human Interaction
2023 - Uluslararası
Mühendislik Temel Alanı>Bilim Alanı>Yapay Zeka ,
Identification of Epileptic Patterns using Time-Frequency Analysis and Deep Learning Classifiers over EEG Signals
2023 - Uluslararası
Fen Bilimleri ve Matematik Temel Alanı>İstatistik>Yapay Öğrenme>Yapay Zeka ,
Classification of EEG Signals for Detection of Epileptic Seizures using Artificial Neural Networks based on Wavelet Transforms and PCA
2017 - Uluslararası
Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Veri Madenciliği>Makine Öğrenmesi>makine öğrenmesi ,
Classification of EEG Signals for Detectıon of Epileptic Seizures Using Multivariate Logistic Regression Based on Wavelet Transforms and PCA
2017 - Uluslararası
Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Veri Madenciliği>Makine Öğrenmesi>makine öğrenmesi ,
Comparing performances of artificial intelligence techniques based wavelet transforms and feature selection for detection of epileptic seizures
2018 - Uluslararası
Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Veri Madenciliği>Makine Öğrenmesi ,
Time-Frequency Analysis of the EEG Signals: Visual Identification of EpilepticPatterns
2019 - Uluslararası
Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Veri Madenciliği>Makine Öğrenmesi ,
Detection of Epileptic seizures using Deep Neural Networks based on Discrete Wavelet Transforms
2018 - Uluslararası
Mühendislik Temel Alanı>Bilim Alanı ,