no code implementations • 13 Jan 2023 • Lorenzo Ciampiconi, Adam Elwood, Marco Leonardi, Ashraf Mohamed, Alessandro Rozza
This survey aims to provide a reference of the most essential loss functions for both beginner and advanced machine learning practitioners.
no code implementations • 12 Oct 2022 • Adam Elwood, Marco Leonardi, Ashraf Mohamed, Alessandro Rozza
This provides practitioners with new techniques that perform well in static and dynamic settings, and are particularly well suited to non-linear scenarios with continuous action spaces.
no code implementations • 8 Nov 2021 • Luigi Celona, Marco Leonardi, Paolo Napoletano, Alessandro Rozza
In this paper we propose a method for the automatic prediction of the aesthetics of an image that is based on the analysis of the semantic content, the artistic style and the composition of the image.