New Article: “Accelerating classification in large-scale and imbalanced datasets: a hybrid ANN approach”
07.05.2026
The article written by our Research Assistant at the Department of Operations Research, Dr. Özge Hüsniye Namlı Dağ, in collaboration with the research group at İstanbul Technical University, was published in the international ESCI and Q2 indexed journal International Journal of Intelligent Computing and Cybernetics. The study proposes a hybrid artificial neural network approach to address classification problems in large-scale and imbalanced datasets.
You can access the article titled “Accelerating classification in large-scale and imbalanced datasets: a hybrid ANN approach” at the following link:
https://www.emerald.com/ijicc/article-abstract/doi/10.1108/IJICC-09-2025-0647/1362315/Accelerating-classification-in-large-scale-and?redirectedFrom=fulltext
You can access the article titled “Accelerating classification in large-scale and imbalanced datasets: a hybrid ANN approach” at the following link:
https://www.emerald.com/ijicc/article-abstract/doi/10.1108/IJICC-09-2025-0647/1362315/Accelerating-classification-in-large-scale-and?redirectedFrom=fulltext
