• Fuzzy Pooling 

      Diamantis D.E., Iakovidis D.K. (2021)
      Convolutional neural networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality ...
    • A Self-Pruning Classification Model for News 

      Akritidis L., Fevgas A., Bozanis P., Alamaniotis M. (2019)
      News aggregators are on-line services that collect articles from numerous reputable media and news providers and reorganize them in a convenient manner with the aim of assisting their users to access the information they ...
    • Skin lesion diagnosis from images using novel ensemble classification techniques 

      Maragoudakis, M.; Maglogiannis, I. (2010)
      Reduction of the error rate of melanoma diagnosis, a critical and very dangerous skin cancer that could be treated when early detected, is of major importance. Towards this direction, the present paper presents a novel ...
    • Staircase detection using a lightweight look-behind fully convolutional neural network 

      Diamantis D.E., Koutsiou D.-C.C., Iakovidis D.K. (2019)
      Staircase detection in natural images has several applications in the context of robotics and visually impaired navigation. Previous works are mainly based on handcrafted feature extraction and supervised learning using ...