Andrea Zugarini (1,2), Stefano Melacci (2), Marco Maggini (2) (1) DINFO, University of Florence (2) DIISM, University of Siena Abstract Motivated by the recent progresses on machine learning-based models that learn artistic styles, in this paper we focus on the problem of poem generation. This is a challenging task in which the machine has to […]
Read More »LINK TO THE PAPER https://arxiv.org/abs/1903.07534 LINK TO THE REPO https://github.com/GiuseppeMarra/lyrics In spite of the amazing results obtained by deep learning in many applications, a real intelligent behavior of an agent acting in a complex environment is likely to require some kind of higher-level symbolic inference. Therefore, there is a clear need for the definition of a […]
Read More »Dario Zanca (1,2), Valeria Serchi (3), Pietro Piu (3), Francesca Rosini (3,4), Alessandra Rufa (3,4) (1) Department of Information Engineering, University of Florence, Florence, Italy (2) Department of Information Engineering and Mathematics, University of Siena, Siena, Italy (3) Eye-tracking and Visual Application Lab (EVALab), Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, […]
Read More »Francesco Giannini (1), Vincenzo Laveglia (1,2), Alessandro Rossi (1,3), Dario Zanca (1,2), Andrea Zugarini (1) (1) DIISM, University of Siena, Siena, Italy (2) DINFO, University of Florence, Florence, Italy (3) Fondazione Bruno Kessler, Trento, Italy Abstract An introduction to some Machine Learning tools within the most common development environments. It mainly focuses on practical problems, skipping […]
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Dario Zanca (1,2), Marco Gori (2) (1) DINFO, University of Florence (2) DIISM, University of Siena Part of: Advances in Neural Information Processing Systems 30 (NIPS 2017) Abstract Computational models of visual attention are at the crossroad of disciplines like cognitive science, computational neuroscience, and computer vision. In this project we propose a model of […]
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