30 citations · 151 across the 11 of their papers we have counts for
3 papers · 1 filter
Towards a learning-based performance modeling for accelerating Deep Neural Networks
Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi +2
Emerging applications such as Deep Learning are often data-driven, thus traditional approaches based on auto-tuners are not performance effective across the wide range of inputs us…
A new method for binary classification of proteins with Machine Learning
Damiano Perri, Marco Simonetti, Andrea Lombardi +2
In this work we set out to find a method to classify protein structures using a Deep Learning methodology. Our Artificial Intelligence has been trained to recognize complex biomole…
Binary classification of proteins by a Machine Learning approach
Damiano Perri, Marco Simonetti, Andrea Lombardi +2
In this work we present a system based on a Deep Learning approach, by using a Convolutional Neural Network, capable of classifying protein chains of amino acids based on the prote…