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Mustafa Kağan GurkanE-mail : kagan.gurkan Areas of Interest :Explainable AI Computer VisionBefore SU Publications:
C. Özer, M. K. Gürkan, “Benefits of Image Preprocessing Techniques in Vehicle Color Recognition Applications,” 2025 33rd Signal Processing and Communications Applications Conference (SIU), İstanbul, Turkey, 2025 E. Akkaya, C. Özer, M. K. Gürkan, “Evaluating Post-Hoc Explainability Methods in Scene Recognition Models,” 2025 33rd Signal Processing and Communications Applications Conference (SIU), İstanbul, Turkey, 2025 M. K. Gürkan, N. Arıca, and F. T. Yarman Vural, “A Concept-aware Explainability Method for Convolutional Neural Networks,” Machine Vision and Applications, vol. 36, no. 33, Jan. 2025. doi: https://doi.org/10.1007/s00138-024-01653-w. R. Koç, M. K. Gürkan, F. T. Yarman Vural, "ReRag: A New Architecture for Reducing the Hallucination by Retrieval- Augmented Generation," 2024 9th International Conference on Computer Science and Engineering (UBMK), Antalya, Turkiye, 2024, pp. 961-965, doi: 10.1109/UBMK63289.2024.10773428. C. Özer, V. Dağlı, M. K. Gürkan, “GNF: Generative Natural Faces Dataset for Face Expression Recognition Task,” 2024 9th International Conference on Computer Science and Engineering (UBMK), Antalya, Turkiye, 2024, pp. 512-516, doi: 10.1109/UBMK63289.2024.10773430. M. K. Gürkan, N. Arıca and F. Y. Vural, "A Scoring Method for Interpretability of Concepts in Convolutional Neural Networks," 2022 30th Signal Processing and Communications Applications Conference (SIU), Safranbolu, Turkey, 2022, pp. 1-4, doi: 10.1109/SIU55565.2022.9864930. S. Tanberk, V. Dağlı and M. K. Gürkan, "Deep Learning for Videoconferencing: A Brief Examination of Speech to Text and Speech Synthesis," 2021 6th International Conference on Computer Science and Engineering (UBMK), Ankara, Turkey, 2021, pp. 506-511, doi: 10.1109/UBMK52708.2021.9558954. |