4 papers
Adaptive Online Learning with LSTM Networks for Energy Price Prediction
Salih Salihoglu, Ibrahim Ahmed, Afshin Asadi
Accurate prediction of electricity prices is crucial for stakeholders in the energy market, particularly for grid operators, energy producers, and consumers. This study focuses on…
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data
Ismail Hakki Karaman, Gulser Koksal, Levent Eriskin +1
In real-world applications, as data availability increases, obtaining labeled data for machine learning (ML) projects remains challenging due to the high costs and intensive effort…
Enhancing Next Destination Prediction: A Novel Long Short-Term Memory Neural Network Approach Using Real-World Airline Data
Salih Salihoglu, Gulser Koksal, Orhan Abar
In the modern transportation industry, accurate prediction of travelers' next destinations brings multiple benefits to companies, such as customer satisfaction and targeted marketi…
Integration of Artificial Intelligence in Educational Measurement: Efficacy of ChatGPT in Data Generation within the Scope of Item Response Theory
Hatice Gurdil, Yesim Beril Soguksu, Salih Salihoglu +1
The aim of this study is to investigate the effectiveness of ChatGPT 3.5 in developing algorithms for data generation within the framework of Item Response Theory (IRT) using the R…