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

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...
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...
A fact extraction and verification framework for social media posts on Covid-19 Temiz, Orkun; Taşkaya Temizel, Tuğba (2023-01-01) Social media has become popular for spreading and consuming information online. On the other hand, the high number of posts has increased the need for fact checking. In the COVID-19 pandemic, the lack of information on the...
A Machine Learning Ensembling Approach to Predicting Transfer Values Aydemir, Ayşe Elvan; Taşkaya Temizel, Tuğba; Temizel, Alptekin (2022-03-01) Predicting transfer values of association football players, despite its importance, has been studied in a limited way in the literature. The existing approaches have mainly focused on explanatory models that cannot be used...
An intervention framework for developing interactive video lectures based on video clickstream behavior: a quasi-experimental evaluation Yürüm, Ozan Raşit; Yıldırım, İbrahim Soner; Taşkaya Temizel, Tuğba (2022-02-01) The purpose of this study is to develop an intervention framework based on video clickstream interactions for delivering superior user experience for video lectures. Apart from existing studies on data-driven interventions...
Accuracy Barrier (ACCBAR): A novel performance indicator for binary classification Canbek, Gurol; Taşkaya Temizel, Tuğba; SAĞIROĞLU, ŞEREF (2022-01-01) Although several binary classification performance metrics have been defined, a few of them are used for performance evaluation of classifiers and performance comparison/reporting in the literature. Specifically, F1 and Ac...
TasKar: A Research and Education Tool for Calculation and Representation of Binary Classification Performance Instruments CANBEK, GÜROL; Taşkaya Temizel, Tuğba; SAĞIROĞLU, ŞEREF (2021-12-02)
Quality assessment of web-based information on type 2 diabetes Olcer, Didem; Taşkaya Temizel, Tuğba (2021-10-01) Purpose This paper proposes a framework that automatically assesses content coverage and information quality of health websites for end-users. Design/methodology/approach The study investigates the impact of textual and co...
A Dimension Reduction Approach to Player Rankings in European Football Aydemir, Ayşe Elvan; Taşkaya Temizel, Tuğba; Temizel, Alptekin; Preshlenov, Kliment; Strahinov, Daniel (2021-08-24) Player performance evaluation is a challenging problem with multiple dimensions. Football (soccer) is the largest sports industry in terms of monetary value and it is paramount that teams can assess the performance of play...
BenchMetrics: a systematic benchmarking method for binary classification performance metrics Canbek, Gurol; Taşkaya Temizel, Tuğba; SAĞIROĞLU, ŞEREF (2021-08-01) This paper proposes a systematic benchmarking method called BenchMetrics to analyze and compare the robustness of binary classification performance metrics based on the confusion matrix for a crisp classifier. BenchMetrics...

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