Ceylan Yozgatlıgil

E-mail

ceylan@metu.edu.tr

Department

Department of Statistics

ORCID

0000-0003-3492-0510

Scopus Author ID

6507362092

Web of Science Researcher ID

A-2327-2016

A Compositional Data Analysis Framework for Diagnosing {LLM} Reasoning over Time Series Anomalies Erkan, Mehmet Ali; Yozgatlıgil, Ceylan; Akyıldız, Elif Beyza (2026-06-30) Large language models are increasingly applied to structured time series reasoning tasks, yet how they allocate attention across sensor channels and whether that allocation reflects prediction quality remains poorly under...
Sustainable science mapping: benchmarking green AI against transformers for cross-disciplinary abstract classification using arXiv Erkan, Mehmet Ali; Yozgatlıgil, Ceylan (2026-05-01) Abstract The exponential growth of scholarly literature necessitates automated, scalable systems for organizing knowledge domains. However, text classification of academic abstracts...
Hybrid Mixed-Effect Diffusion model (H-MED) for longitudinal air quality analysis Tanrıverdi, İrem; Yozgatlıgil, Ceylan (2025-10-01) Air pollution poses severe threats to global public health and environmental sustainability, with complex spatio-temporal dynamics. Traditional air quality models face limitations in capturing longitudinal dependencies and...
Forecasting Drought Phenomena Using a Statistical and Machine Learning-Based Analysis for the Central Anatolia Region, Turkey Turkes, Murat; Özdemir, Ozancan; Yozgatlıgil, Ceylan (2024-12-30) Drought is a major concern in Turkey, significantly affecting agriculture, water resources and the economy, especially in the Central Anatolia region with a semiarid steppe and dry-sub-humid climate. This study aims to dev...
An Overall Equipment Efficiency Predictive Analysis of a Hydraulic Press System by Time Series Forecasting with Topological Features Anapa, Korkut; GÜZEL, İSMAİL; Yozgatlıgil, Ceylan (2024-12-30)
A Bayesian Approach for Learning Bayesian Network Structures Zareifard, Hamid; Tabar, Vahid Rezaei; Javidian, Mohammad Ali; Yozgatlıgil, Ceylan (2024-12-01) We introduce a Bayesian approach method based on the Gibbs sampler for learning the Bayesian Network structure. For this, the existence and the direction of the edges are specified by a set of parameters. We use the non-in...
Investigations of motor performance with neuromodulation and exoskeleton using leader-follower modality: a tDCS study Okasha, Amr; Şengezer, Saba; Kılınç, Hasan; Pourreza, Elmira; Fincan, Ceren; Yılmaz, Tunahan; Boran, Hürrem E.; Cengiz, Bülent; Yozgatlıgil, Ceylan; Gürses, Senih; Turgut, Ali Emre; Arıkan, Kutluk B.; Ünal, Bengi; Ünal, Çağrı; Günendi, Zafer; Zinnuroğlu, Murat; Çağlayan, Hale Z. B. (2024-01-01) This study investigates how the combination of robot-mediated haptic interaction and cerebellar neuromodulation can improve task performance and promote motor skill development in healthy individuals using a robotic exoske...
Forecasting Performance of Machine Learning, Time Series and Hybrid Methods for Low and High Frequency Time Series Özdemir, Ozancan; Yozgatlıgil, Ceylan (2023-11-01)
Parmak Manipulandum ile İnsan Motor Öğrenmesinin Modellenmesi ve Değerlendirilmesi Okasha , Amr; Şengezer, Sabahat; Özdemir, Ozancan; Yozgatlıgil, Ceylan; Turgut, Ali Emre; Arıkan, Kutluk Bilge (2023-02-01)
Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula Oflaz, Zarina; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (2023-1-01) A range of chronic diseases have a significant influence on each other and share common risk factors. Comorbidity, which shows the existence of two or more diseases interacting or triggering each other, is an important mea...

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