We are thrilled to share that a new scientific article co-authored by our faculty member, Asst. Prof. Dr. Cahit Perkgoz, "A Composite Loss-Based Autoencoder for Accurate and Scalable Missing Data Imputation,' has been accepted for publication in the prestigious journal, Computers, Materials & Continua.
You can read the article here:
https://www.techscience.com/cmc/v86n1/64488
