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 »Giuseppe Marra (DIISM, University of Florence and Siena) Jun 12, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Markov Logic Networks (MLN) are a very well-known example of statistical relational model. In order to build good models, MLNs ask the user to define in advance a set of first-order logic […]
Read More »
LINK https://sailab.diism.unisi.it/gnn/ Our research group introduced the Graph Neural Network (GNN), a connectionist model particularly suited for problems whose domain can be represented by a set of patterns and relationships between them. In those problems, a prediction about a given pattern can be carried out exploiting all the related information, which includes the pattern features, […]
Read More »Anna Visibelli (DIISM, University of Siena) Jun 5, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Nowadays, determining the 3D structure of proteins is one of the most challenging tasks in computational biology, essential for understanding protein functions. Thanks to experimental tests, protein conformations can be mainly determined by the […]
Read More »Jose Suárez-Varela (DIISM, University of Siena) May 29, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Computer network modeling is a critical component for building future self-driving computer networks, particularly to find optimal configurations that meet the goals set by network administrators. However, existing modeling techniques do not meet the […]
Read More »Giansalvo Cirrincione (University of Picardie Jules Verne (UPJV), Amiens (France) and University of South Pacific (USP), Suva, Fiji) May 22, 2019 – 16:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Big high dimensional data is becoming a challenging field of research. There exist a lot of techniques which infer information. However, because […]
Read More »Andrea Panizza (Baker Hughes – General Electric Company) May 15, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The Variational Autoencoder (VAE) is a not-so-new-anymore Latent Variable Model (Kingma & Welling, 2014), which models the pdf of the inputs, and it is thus able to generate new samples from the […]
Read More »Simone Furini (University of Siena) May 8, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Ion channels are membrane proteins that control the fluxes of ions across cell membranes. In order to perform their biological functions, these proteins need to select the different ion species with high accuracy. For instance, […]
Read More »Giuseppe Boccignone (University of Milan) Apr 17, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this talk a number of problems are considered which are related to the modelling of eye guidance under visual attention in a natural setting. First, from a brief and crude discussion of a variety […]
Read More »Dino Pedreschi (DIISM, University of Pisa) Apr 3, 2019 – 15:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Black box AI systems for automated decision making, often based on machine learning over (big) data, map a user’s features into a class or a score without exposing the reasons why. This is problematic […]
Read More »