• 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 ...
    • II-learn—a novel metric for measuring the intelligence increase and evolution of artificial learning systems 

      Iantovics L.B., Iakovidis D.K., Nechita E. (2019)
      A novel accurate and robust metric called II-Learn for measuring the increase of intelligence of a system after a learning process is proposed. We define evolving learning systems, as systems that are able to make at least ...