Publications

• Mehmet Arif Demirtaş, Max Fowler, Nicole Hu, Kathyrn Cunningham. Validating, Refining, and Identifying Programming Plans Using Learning Curve Analysis on Code Writing Data. In Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1 (ICER ‘24), Vol. 1. Association for Computing Machinery, New York, NY, USA, 263–279. https://doi.org/10.1145/3632620.3671120

• Mehmet Arif Demirtaş, Max Fowler, Kathyrn Cunningham. Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems. In Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), 2024. http://doi.org/10.5281/zenodo.12729773

• Alexander Waibel, Moritz Behr, Dogucan Yaman, Fevziye Irem Eyiokur, Tuan-Nam Nguyen, Carlos Mullov, Mehmet Arif Demirtas, Alperen Kantarci, Stefan Constantin, and Hazim Kemal Ekenel. Face-Dubbing++: Lip-synchronous, voice preserving translation of videos. In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023. IEEE, 1–5. https://doi.org/10.1109/ICASSPW59220.2023.10193719

• Mehmet Arif Demirtaş, Berke Oral, Mehmet Yasin Akpınar, and Onur Deniz. Semantic Parsing of Interpage Relations. In 26th International Conference on Pattern Recognition, 2022. https://doi.org/10.1109/ICPR56361.2022.9956546

• Selim Yürekli, Mehmet Arif Demirtaş, and Islem Rekik. 2022. Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts. In Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022. Springer Nature Switzerland Cham, 149–159. https://doi.org/10.1007/978-3-031-16919-9_14

• Martin Hanik, Mehmet Arif Demirtaş, Mohammed Amine Gharsallaoui, and Islem Rekik. Predicting cognitive scores with graph neural networks through sample selection learning. Brain Imaging and Behavior 16, 3 (2021), 1123–1138. https://doi.org/10.1007/s11682-021-00585-7