Publications

SCI / SCI-E / SSCI Journal Articles (Last 5 years)

• Magden, B., Batmaz, Z., & Kaya, T. T. (2025). Robustness of advanced recommender systems against power user attacks. Journal of Supercomputing, 81(18), 1636.
• Göksel, G., Aydın, A., Batmaz, Z., & Kaleli, C. (2025). A novel missing value imputation for multi-criteria recommender systems. Information Sciences, 712, 122139.
• Kaplan Berkaya, S., Batmaz, Z., Kilicarslan, M., & Gunal, S. (2025). An integrated framework for automated measurement and prediction of program outcome attainment in engineering education. Computer Applications in Engineering Education, 33(6), e70094.
• Afzal, I., Yilmazel, B., & Kaleli, C. (2024). An approach for multi-context-aware multi-criteria recommender systems based on deep learning. IEEE Access, 12, 99936-99948.
• Aydın, A., Arslan, A., & Dincer, B. T. (2024). A set of novel HTML document quality features for web information retrieval: Including applications to learning to rank for information retrieval. Expert Systems with Applications, 246, 123177.
• Kinden, S., & Batmaz, Z. (2024). Vehicle classification using deep learning-assisted triboelectric sensor. Arabian Journal for Science and Engineering, 49(5), 6657-6673.
• Göksel, G., Arslan, A., & Dinçer, B. T. (2023). A selective approach to stemming for minimizing the risk of failure in information retrieval systems. PeerJ Computer Science, 9, e1175.
• Kaya, T. T., & Kaleli, C. (2023). Robustness Analysis of Multi-Criteria Top-n Collaborative Recommender System. Arabian Journal for Science and Engineering, 48(8), 10189-10212.
• Kaya, T. T., Yalcin, E., & Kaleli, C. (2023). A novel classification‐based shilling attack detection approach for multi‐criteria recommender systems. Computational Intelligence, 39(3), 499-528.
• Batmaz, Z., & Kaleli, C. (2022). A new similarity-based multicriteria recommendation algorithm based on autoencoders. Turkish Journal of Electrical Engineering and Computer Sciences, 30(3), 855-870.
• Batmaz, Z., Kaleli, C. (2021). A new similarity-based multi-criteria recommendation algorithm based on autoencoders. Turkish Journal of Electrical Engineering and Computer Sciences.
• Yürekli, A., Bilge, A., & Kaleli, C. (2021). Exploring playlist titles for cold-start music recommendation: an effectiveness analysis. Journal of Ambient Intelligence and Humanized Computing, 1-20.
• Yürekli, A., Kaleli, C., & Bilge, A. (2021). Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing. International Journal of Multimedia Information Retrieval, 10(3), 185-198.
• Al-Safi, J., & Kaleli, C. (2021). Item genre-based users similarity measure for recommender systems. Applied Sciences, 11(13), 6108.
• Batmaz, Z., Yilmazel, B., & Kaleli, C. (2020). Shilling attack detection in binary data: a classification approach. Journal of Ambient Intelligence and Humanized Computing, 11, 2601-2611.

Other Journal Articles (Last 5 years)

• Göksel, G. (2025). A Lexical Simplification Application and Effect in Information Retrieval. Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering, 26(3), 363-378.
• Batmaz, Z., & Kaleli, C. (2024). A hybrid multi-criteria recommendation algorithm based on autoencoders. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 30(2), 212-221.
• Al-Safi, J., & Kaleli, C. (2021). A similarity measure model based on the dissimilarity degree between users. Journal of Information and Optimization Sciences, 42(7), 1649-1656.
• Yazgan, E., Çetek, F. A., Şimşek, D., Ata, N., Erginel, N., Tuncer, S., Karabayrak, B., Aydın, A., Dönmez, K., Yıldızlar, Ç.,Toktay, T. (2022). Hava Trafik Kontrolörü Adaylarının Gerçek Zamanlı Simülasyon Senaryolarındaki Hata Sayıları ve Performans Skorlarının İncelenmesi. International Journal of Engineering Research and Development, 14(3), 87-97.

Conference Proceedings (Last 5 years)

• Göksel, G. (2025). A Study on Predicting Term Weighting Models with Query Performance Predictors to Enhance Information Retrieval Effectiveness. In: Proceedings of 20th International Symposium on Applied Informatics and Related Areas, Székesfehérvár, Hungary, 2025.
• A. Aydın, G. Göksel and Z. Batmaz, How Few-Shot Learning is Effective on Predicting Missing Values Using User Reviews in a Multi-criteria Dataset. 2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkiye, 2025, pp. 1-6.
• Batmaz, Z., Comparative analysis of multi-criteria recommendation techniques: Beyond accuracy. In: Proceedings of 10th International Baskent Congress on Physical, Engineering, and Applied Sciences, Ankara, Turkey, 2023.
• Ayber, S., Erginel, N., Ünver, M., Göksel, G., Aydın, A. (2023). Analyzing Customer Requirements Based on Text Mining via Spherical Fuzzy QFD. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 758. Springer, Cham.