Tuğba Taşkaya Temizel

E-mail

ttemizel@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0001-7387-8621

Scopus Author ID

8847715500

Web of Science Researcher ID

AAF-7328-2019

Aligning Data Debt with AI-Integrated Software Project Lifecycle Processes: A Standard-Based Mapping Approach Akgül, Nilay Yorgancılar; Taşkaya Temizel, Tuğba; Özcan Top, Özden; Akman, Pelin Dayan (2025-01-01) Artificial Intelligence (AI) technologies have become increasingly central to software development, enhancing efficiency with tools such as intelligent code assistants and driving innovations in products like chatbots, rec...
Feature Distribution-Based Touch Biometrics Using CNN and Siamese Networks Gündüz, Gürkan; Kaplan, Muratcan; Taşkaya Temizel, Tuğba (2025-01-01) Ensuring secure and user-friendly authentication is important as mobile devices increasingly handle sensitive data. Traditional methods like PINs, fingerprints, and facial recognition have privacy limitations, whereas beha...
Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series Uzuntürk, Göksu; Taşkaya Temizel, Tuğba (2025-01-01) Range-based anomaly detection in multivariate time series is critical for real-world applications such as industrial monitoring, where anomalies often span intervals and exhibit distinct types. We propose a transformer-bas...
Identification of Land Use Mix Using Point-Based Geospatial Data in Urban Areas Akyol, Mehmet Ali; Taşkaya Temizel, Tuğba; Duzgun, Sebnem; Baykal, Nazife (2024-08-01) Identifying land use mix (LUM) in urban areas is challenging, often requiring extensive human intervention and fieldwork. Accurate classification of LUM is crucial for various disciplines, including urban planning, urban e...
Harnessing Large Language Models for Automatic Evaluation of Mobile Health Applications Based on Persuasive System Design Principles and Mobile Application Rating Scale Afşin, Yasin; Taşkaya Temizel, Tuğba (2024-01-01) Mobile applications have seen a growing prevalence in the healthcare sector, yet the absence of comprehensive regulations and preliminary assessments can lead to significant frustration and time loss for users. To address ...
Analyzing Socioeconomic Status through Culinary Ingredients: A Large-Scale Study of Pita and Pizza Dishes Kilic, Oz; Taşkaya Temizel, Tuğba (2024-01-01) This study investigates whether the ingredients listed on restaurant menus can provide insights into a city's socioeconomic status. Using data from an online food delivery system, the study compares menu items with local e...
Reproducible machine learning research in mental workload classification using EEG Demirezen, Güliz; Taşkaya Temizel, Tuğba; Brouwer, Anne-Marie (2024-01-01) This study addresses concerns about reproducibility in scientific research, focusing on the use of electroencephalography (EEG) and machine learning to estimate mental workload. We established guidelines for reproducible m...
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs Uluoglakci, Cem; Taşkaya Temizel, Tuğba (2024-01-01) Hallucinations pose a significant challenge to the reliability and alignment of Large Language Models (LLMs), limiting their widespread acceptance beyond chat-bot applications. Despite ongoing efforts, hallucinations remai...
Predictive Video Analytics in Online Courses: A Systematic Literature Review Yürüm, Ozan Raşit; Taşkaya Temizel, Tuğba; Yıldırım, İbrahim Soner (2023-01-01) The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both data...
PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics Canbek, Gürol; Taşkaya Temizel, Tuğba; SAĞIROĞLU, ŞEREF (2023-1-01) Although few performance evaluation instruments have been used conventionally in different machine learning-based classification problem domains, there are numerous ones defined in the literature. This study reviews and de...

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