This is the official web site of Siena Artificial Intelligence Laboratory. The focus of our research is on machine learning. In the last few years, we’ve been mainly involved in the conception of new theories of learning in structured domains and in their applications to pattern recognition and mining the web. We are also interested […]
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 »Matteo Tiezzi (DIISM, University of Siena) Apr 3, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The ability to decompose visual scenes in terms of abstract building blocks is crucial for general intelligence. These basic building blocks are capable to represent meaningful properties, interactions and other relations across scenes. The […]
Read More »Prof. Alexander Meduna is a theoretical computer scientist and expert on compiler design, formal languages and automata. He is a professor of Computer Science at the Brno University of Technology. Mar 28, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description This talk proposes a new investigation area in automata theory […]
Read More »Dario Zanca (DIISM, University of Siena) Mar 20, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description When eye-tracking devices are not a viable option, models of visual attention can be used to predict locations fixated by humans. We argue that the idea of a saliency map is ill-posed, and present […]
Read More »On May 6th and 7th, QuestIt and SAILab inaugurated the joint lab for artificial intelligence. The event was attended by important guests from academia and companies. Those who were unable to attend the event can find the videos of the talks below, followed by a press review. March 6th, Greetings and First Part March 6th, […]
Read More »Francesco Giannini (DIISM, University of Siena) Mar 13, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Deep learning is very effective at jointly learning feature representations and classification models, especially when dealing with high dimensional input patterns. Probabilistic logic reasoning, on the other hand, is capable to take consistent and […]
Read More »Simone Bonechi (DIISM, University of Siena) Mar 6, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, deep learning and Convolutional Neural Networks (CNNs) have produced a devastating impact on computer vision, achieving outstanding results on a variety of problems, including medical image analysis. Recently, these techniques have […]
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