1 Altay, O., & Gurgenc, T. (2024). GJO-MLP: A Novel Method For Hybrid Metaheuristics Multi-Layer Perceptron And A New Approach For Prediction Of Wear Loss Of Az91d Magnesium Alloy Worn At Dry, Oil, And H-Bn Nanoadditive Oil. Surface Review and Letters (SRL), 31(06), 1-16.

2 Altay, E. V., Altay, O., & Özçevik, Y. (2024). A Comparative Study of Metaheuristic Optimization Algorithms for Solving Real-World Engineering Design Problems. CMES-Computer Modeling in Engineering & Sciences, 139(1).

3 Altay, O., & Altay, E. V. (2023). A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection. PeerJ Computer Science, 9, e1526.

4 Özçevik, Y., & Altay, O. (2023). MetricHunter: A software metric dataset generator utilizing SourceMonitor upon public GitHub repositories. SoftwareX, 23, 101499.

5 Altay, O., & Varol Altay, E. (2023). A novel hybrid multilayer perceptron neural network with improved grey wolf optimizer. Neural Computing and Applications, 35(1), 529-556.

6 ALTAY, O., & ALTAY, E. V. (2023). Investigation of Slime Mould Algorithm and Hybrid Slime Mould Algorithms' Performance in Global Optimization Problems. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 13(4), 661-671.

7 CELIKTEN, T., DÖNMEZ, H. Y., AKBAS, T., & ALTAY, O. (2023). Predicting the Height of Individuals with Machine Learning Methods by Considering Non-Genetic Factors. Turkish Journal of Science and Technology, 18(1), 233-241.

8 GÜNDOGDU, H., & ALTAY, O. (2023). Evaluation of Performance of Feature Selection of Meta-Heuristic Optimization Methods in Medical Data. Computer Science, (IDAP-2023), 58-66.

9 Gurgenc, T., & Altay, O. (2022). Surface roughness prediction of wire electric discharge machining (WEDM)-machined AZ91D magnesium alloy using multilayer perceptron, ensemble neural network, and evolving product-unit neural network. Materials Testing, 64(3), 350-362.

10 Altay, E. V., Gurgenc, E., Altay, O., & Dikici, A. (2022). Hybrid artificial neural network based on a metaheuristic optimization algorithm for the prediction of reservoir temperature using hydrogeochemical data of different geothermal areas in Anatolia (Turkey). Geothermics, 104, 102476.

11 Altay, O. (2022). Chaotic slime mould optimization algorithm for global optimization. Artificial Intelligence Review, 55(5), 3979-4040.

12 ALTAY, O., & GÜRGENÇ, T. (2022). St37 Çeliginin Tornalanmasinda Yüzey Pürüzlülügünün Destek Vektör Regresyonu Kullanilarak Tahmini. Firat Üniversitesi Mühendislik Bilimleri Dergisi, 34(2), 743-750.

13 Altay, O. (2022). Güncel Metasezgisel Yöntemlerin Standart Kalite Testi Fonksiyonlarinda Karsilastirilmasi. International Journal of Pure and Applied Sciences, 8(2), 286-301.

14 GÜRGENÇ, T., & ALTAY, O. (2022). St37 Çeliginin Tornalanmasinda Yüzey Pürüzlülügünün Destek Vektör Regresyonu Kullanilarak Tahmini. Firat University Journal of Engineering Science, 34(2).

15 Varol Altay, E., & Altay, O. (2022, September). Assessment of Grey Wolf Optimizer and Its Variants on Benchmark Functions. In International Conference on Computing, Intelligence and Data Analytics (pp. 55-66). Cham: Springer International Publishing.

16 Altay, O., Ulas, M., & Alyamac, K. E. (2021). DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC. PeerJ Computer Science, 7, e411.

17 Altay, O., & Özgen, I. (2021). Predicting the LD50 values of two different vinegars whose insecticidal effect was determined by the spraying method against Tribolium confusum Jacquelin du val (Coleoptera: Tenebrionidae) using different artificial neural networks models. Zoological and Entomological Letters, 1(2), 39-47.

18 ALTAY, E. V., & ALTAY, O. (2021). Güncel metasezgisel optimizasyon algoritmalarinin CEC2020 test fonksiyonlari ile karsilastirilmasi. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 12(5), 729-741.

19 Gurgenc, T., Altay, O., Ulas, M., & Ozel, C. (2020). Extreme learning machine and support vector regression wear loss predictions for magnesium alloys coated using various spray coating methods. Journal of Applied Physics, 127(18).

20 Altay, O., Gurgenc, T., Ulas, M., & Özel, C. (2020). Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms. Friction, 8, 107-114.

21 Ulas, M., Altay, O., Gurgenc, T., & Özel, C. (2020). A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine. Friction, 8, 1102-1116.

22 Altay, O., Ulas, M., & Alyamac, K. E. (2020). Prediction of the fresh performance of steel fiber reinforced self-compacting concrete using quadratic SVM and weighted KNN models. IEEE Access, 8, 92647-92658.

23 Altay, O., & Mustafa, U. L. A. S. (2018). Anlamsal Web Kullanilarak Ilaç Ontolojisi Çikarilmasi. Firat Üniversitesi Mühendislik Bilimleri Dergisi, 30(1), 169-174.

1 Çetiner, S., & Altay, O. (2023). Classification of Potato Species using Transfer Learning and Support Vector Machine.

2 Altay, O. (2022, April). Performance of different KNN models in prediction english language readability. In 2022 2nd International Conference on Computing and Machine Intelligence (ICMI) (pp. 1-5). IEEE.

3 Cincioglu, B., Ozdemir, K., Sit, K. C., & Altay, O. Predicting Sleep Routines After COVID-19 Using Machine Learning Methods.

4 Altay, O., & Ulas, M. (2018, March). Prediction of the autism spectrum disorder diagnosis with linear discriminant analysis classifier and K-nearest neighbor in children. In 2018 6th international symposium on digital forensic and security (ISDFS) (pp. 1-4). IEEE.

5 Altay, O., Ulas, M., & Alyamac, K. E. (2019, November). Prediction of SFRSCC's T50 Performance Using Regression Tree Algorithm. In 2019 1st International Informatics and Software Engineering Conference (UBMYK) (pp. 1-4). IEEE.

6 Altay, O., & Ulas, M. (2018, March). Location determination by processing signal strength of Wi-Fi routers in the indoor environment with linear discriminant classifier. In 2018 6th International Symposium on Digital Forensic and Security (ISDFS) (pp. 1-4). IEEE.

7 Altay, O., Ulas, M., Mahmut, O. Z. E. R., & Ece, G. E. N. C. (2019, June). An expert system to predict warfarin dosage in turkish patients depending on genetic and non-genetic factors. In 2019 7th International Symposium on Digital Forensics and Security (ISDFS) (pp. 1-6). IEEE.