Research Areas


Selected Papers


Erden, C., Demir, H., Kökçam, A. (2023). Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study. arXiv.

Erden, C. (2023). Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction. Springer Science and Business Media LLC.

Eren, B., Aksangür, İ., Erden, C. (2023). Predicting next hour fine particulate matter (PM2.5) in the Istanbul Metropolitan City using deep learning algorithms with time windowing strategy. Elsevier BV.


Erden, C. (2022). Machine Learning Experiment Management With MLFlow. IGI Global.

Aksangür, İ., Eren, B., Erden, C. (2022). Evaluation of data preprocessing and feature selection process for prediction of hourly PM10 concentration using long short-term memory models. Elsevier BV.

Ozsagir, M., Erden, C., Bol, E., Sert, S., Özocak, A. (2022). Machine learning approaches for prediction of fine-grained soils liquefaction. Elsevier BV.


Erden, C., Demir, H., Canpolat, O. (2021). A modified integer and categorical PSO algorithm for solving integrated process planning, dynamic scheduling and due date assignment problem. SCI AND TECH UNIVERSAL INC.


Demir, H., Erden, C. (2020). Dynamic integrated process planning, scheduling and due-date assignment using ant colony optimization. Elsevier BV.


Erden, C., Demir, H., Kökçam, A. (2019). Solving Integrated Process Planning, Dynamic Scheduling, and Due Date Assignment Using Metaheuristic Algorithms. Hindawi Limited.