Alberto Rossi (DIISM, University of Siena) Jul 31, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Prostate Multi-parametric MRI (mpMRI) is a great tool to diagnose prostate cancer but is difficult to interpret even for expert radiologists. A common radiological procedure to analyze a difficult case is to compare it […]
Read More »The satellite ACDL workshop on Graph Neural Networks (GNNs) was held in SAILab on the 22nd of July. Program Morning Session 09:00: Introduction – Marco Gori 09:15: GNNs for heterogeneous information – Franco Scarselli 09:45: Graph networks for learning about complex systems – Peter Battaglia 10:15: A Deep Learning based Community Detection approach – Giancarlo […]
Read More »Alessandro Betti (DIISM, University of Siena) Jul 24, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large the process of learning concepts that are embedded in time is regarded as quite a mature research topic. Hidden Markov models, recurrent neural networks are, amongst others, successful approaches to learning […]
Read More »Oswald Lanz (FBK) Jul 25, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In 2015 the first artificial system has been reported to beat human performance on ImageNet visual recognition, with Top-5 error rate below 5%. This has not happened with video yet, for example, the best-ranked entry in the […]
Read More »Giorgio Ciano (DIISM, University of Siena) Jul 10, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challenges including extremely small object […]
Read More »Gabriele Ciravegna (DIISM, University of Siena) Jul 3, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In the last few years we have seen a remarkable progress from the cultivation of the idea of expressing the interactions of intelligent agents with the environment by the mathematical notion of constraint. However, […]
Read More »Pietro Bongini (DIISM, University of Siena) Jun 26, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Do convolutional networks really need a fixed feed-forward structure? What if, after identifying the high-level concept of an image, a network could move directly to a layer that can distinguish fine-grained differences? Currently, a […]
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 »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 […]
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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, […]
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