• Convolutional Variational Autoencoders for Image Clustering 

      Nellas I.A., Tasoulis S.K., Plagianakos V.P. (2021)
      The problem of data clustering is one of the most fundamental and well studied problems of unsupervised learning. Image clustering, refers to one of the most challenging specifications of clustering, concerning image data. ...
    • Credit card fraud detection using a deep learning multistage model 

      Zioviris G., Kolomvatsos K., Stamoulis G. (2022)
      The banking sector is on the eve of a serious transformation and the thrust behind it is artificial intelligence (AI). Novel AI applications have been already proposed to deal with challenges in the areas of credit scoring, ...
    • EndoVAE: Generating Endoscopic Images with a Variational Autoencoder 

      Diamantis D.E., Gatoula P., Iakovidis D.K. (2022)
      The generalization performance of deep learning models is closely associated with the number and diversity of data available upon training. While in many applications there is a large number of data available in public, ...