Ozancan Ozdemir

Ozancan Ozdemir

PhD Candidate at Bernoulli Institute for for Mathematics, Computer Science and Artificial Intelligence. Machine Learning and Deep Learning Enthisuasist.

Posts by Collection

Election2023

Projects

portfolio

publications

Prediction of Earthquake Magnitude and Direction in Kütahya and Muğla using Machine Learning Methods

Published in 4th National Insurance and Actuary Congress, 2019

A machine learning study on predicting earthquake magnitude and direction in Kütahya and Muğla.

Recommended citation: Özdemir, O., & Yozgatlıgil, C. (2019). Makine Öğrenmesi Teknikleri ile Muğla ve Kütahya İllerindeki Deprem Büyüklüğünün ve Yönünün Tahminlenmesi. 4th National Insurance and Actuary Congress. https://www.researchgate.net/publication/360112382_Makine_Ogrenmesi_Teknikleri_ile_Mugla_ve_Kutahya_Illerindeki_Deprem_Buyuklugunun_ve_Yonunun_Tahminlenmesi

The impacts of COVID-19 lockdown on PM10 and SO2 concentrations and association with human mobility across Turkey

Published in Environmental Research, 2021

A study on how lockdown policies were associated with air pollution indicators and human mobility patterns across Turkey.

Recommended citation: Orak, N. H., & Ozdemir, O. (2021). The impacts of COVID-19 lockdown on PM10 and SO2 concentrations and association with human mobility across Turkey. Environmental Research, 197, 111018. https://doi.org/10.1016/j.envres.2021.111018. https://www.sciencedirect.com/science/article/pii/S0013935121003121?via%3Dihub

Evaluation of Reading Skills in the Context of Gender: An Analysis with PISA 2018 Data

Published in Education Reform Initiative (ERG), 2022

An analysis of reading skills in the context of gender using PISA 2018 data.

Recommended citation: Cin, M., Ilhan, A., Özdemir, O., Düşkün, Y., & Korlu, Ö. (2022). Okuma Becerilerinin Toplumsal Cinsiyet Bağlamında Değerlendirilmesi: PISA 2018 verileriyle bir analiz. Education Reform Initiative (ERG). https://doi.org/10.13140/RG.2.2.26165.35044 https://doi.org/10.13140/RG.2.2.26165.35044

Forecasting performance of machine learning, time series, and hybrid methods for low- and high-frequency time series

Published in Statistica Neerlandica, 2023

A comparative study of machine learning, classical time series, and hybrid methods for low- and high-frequency forecasting tasks.

Recommended citation: Özdemir, O., & Yozgatlıgil, C. (2023). Forecasting performance of machine learning, time series, and hybrid methods for low- and high-frequency time series. Statistica Neerlandica. https://doi.org/10.1111/stan.12326 https://onlinelibrary.wiley.com/doi/10.1111/stan.12326

turkeyelections: The Most Comprehensive Initial R Package Developed on Election Results in Turkey

Published in Journal of Statistics and Applied Sciences, 2024

An R package paper introducing turkeyelections, a comprehensive package for working with election results in Turkey.

Recommended citation: Özdemir, O. (2024). turkeyelections: The Most Comprehensive Initial R Package Developed on Election Results in Turkey. Journal of Statistics and Applied Sciences, 9, 67–76. https://doi.org/10.52693/jsas.1456233 https://dergipark.org.tr/tr/download/article-file/3810011

Forecasting Drought Phenomena Using a Statistical and Machine Learning-Based Analysis for the Central Anatolia Region, Turkey

Published in International Journal of Climatology, 2024

A statistical and machine learning-based study on forecasting drought phenomena in the Central Anatolia Region of Turkey.

Recommended citation: Türkeş, M., Özdemir, O., & Yozgatlıgil, C. (2024). Forecasting drought phenomena using a statistical and machine learning-based analysis for the Central Anatolia Region, Turkey. International Journal of Climatology. https://doi.org/10.1002/joc.8742 https://doi.org/10.1002/joc.8742

Leveraging Ensemble and Hybrid Forecasting Tools to Increase Accuracy: Turkey COVID-19 Case Study

Published in SN Computer Science, 2025

A forecasting study comparing ensemble and hybrid tools to improve prediction accuracy in a Turkey COVID-19 case study.

Recommended citation: Evkaya, O. O., Kurnaz, F. S., Ozdemir, O., & Yigit, P. (2025). Leveraging ensemble and hybrid forecasting tools to increase accuracy: Turkey COVID-19 case study. SN Computer Science, 6(2). https://doi.org/10.1007/s42979-025-03658-2 https://doi.org/10.1007/s42979-025-03658-2

From Perceptions to Evidence: Detecting AI-Generated Content in Turkish News Media with a Fine-Tuned BERT Classifier

Published in arXiv, 2026

A preprint on detecting AI-generated content in Turkish news media using a fine-tuned Turkish BERT classifier.

Recommended citation: Ozdemir, O. (2026). From Perceptions to Evidence: Detecting AI-Generated Content in Turkish News Media with a Fine-Tuned BERT Classifier. arXiv:2602.13504. https://doi.org/10.48550/arXiv.2602.13504 https://arxiv.org/abs/2602.13504

Türkiye’deki Açık Veri Kaynaklarına Genel Bakış ve Sosyal Bilimlerde Kullanımı: Ağaç Tabanlı Yapay Öğrenme Modelleriyle Seçim Sonuçlarını Etkileyen Ekonomik Göstergelerin Tahmini

Published in Sosyal Veri Bilimi: Programlama, Modelleme ve Sosyal Bilimlerde Dijital/Hesaplamalı Yöntemler, 2026

A book chapter on open data sources in Turkey and their use in social sciences, with an application of tree-based machine learning models to election-related economic indicators.

Recommended citation: Özdemir, O. (2026). Türkiye’deki Açık Veri Kaynaklarına Genel Bakış ve Sosyal Bilimlerde Kullanımı: Ağaç Tabanlı Yapay Öğrenme Modelleriyle Seçim Sonuçlarını Etkileyen Ekonomik Göstergelerin Tahmini. In H. Akın Ünver (Ed.), Sosyal Veri Bilimi: Programlama, Modelleme ve Sosyal Bilimlerde Dijital/Hesaplamalı Yöntemler. İstanbul Bilgi Üniversitesi Yayınları. https://bilgiyay.com/kitap/sosyal-veri-bilimi/

talks

teaching