Dokuz Eylül Üniversitesi Bilişim Teknolojileri Araştırma ve Uygulama Merkezi’nin katkı verdiği bilimsel yayınlar aşağıda listelenmiştir.

2026 –  Battery State of Charge Estimation in Electric Vehicles Using Machine Learning with Feature Engineering and Seasonal Analysis Under On-Road Conditions

2025 – A new machine learning method for rainfall classification: temporal random tree

2025 – Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity

2025 – A Novel Reduced Error Pruning Tree Forest with Time-Based Missing Data Imputation (REPTF-TMDI) for Traffic Flow Prediction

2024 – Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science

2024 – A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD)