Caner Erden

Caner Erden

Asst. Prof. Dr.

Research

Research Areas

Profiles

Selected Papers

2023

Erden, C., Demir, H., Kökçam, A. (2023). Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study. arXiv. arxiv.org/abs/2302.11406

Erden, C. (2023). Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction. Springer Science and Business Media LLC. dx.doi.org/10.1007/S13762-023-04763-6

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. dx.doi.org/10.1016/J.UCLIM.2023.101418

2022

Erden, C. (2022). Machine Learning Experiment Management With MLFlow. IGI Global. dx.doi.org/10.4018/978-1-7998-9220-5.ch071

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. dx.doi.org/10.1016/J.ENVPOL.2022.119973

Ozsagir, M., Erden, C., Bol, E., Sert, S., Özocak, A. (2022). Machine learning approaches for prediction of fine-grained soils liquefaction. Elsevier BV. dx.doi.org/10.1016/J.COMPGEO.2022.105014

2021

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. dx.doi.org/10.24200/SCI.2021.55250.4130

2020

Demir, H., Erden, C. (2020). Dynamic integrated process planning, scheduling and due-date assignment using ant colony optimization. Elsevier BV. dx.doi.org/10.1016/J.CIE.2020.106799

2019

Erden, C., Demir, H., Kökçam, A. (2019). Solving Integrated Process Planning, Dynamic Scheduling, and Due Date Assignment Using Metaheuristic Algorithms. Hindawi Limited. dx.doi.org/10.1155/2019/1572614