165 citations · 209 across the 7 of their papers we have counts for
4 papers · 1 filter
Sparsely Activated Networks: A new method for decomposing and compressing data
Paschalis Bizopoulos
Recent literature on unsupervised learning focused on designing structural priors with the aim of learning meaningful features, but without considering the description length of th…
Sparsely Activated Networks
Paschalis Bizopoulos, Dimitrios Koutsouris
Previous literature on unsupervised learning focused on designing structural priors with the aim of learning meaningful features. However, this was done without considering the des…
Signal2Image Modules in Deep Neural Networks for EEG Classification
Paschalis Bizopoulos, George I Lambrou, Dimitrios Koutsouris
Deep learning has revolutionized computer vision utilizing the increased availability of big data and the power of parallel computational units such as graphical processing units.…
Deep Learning in Cardiology
Paschalis Bizopoulos, Dimitrios Koutsouris
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving compli…