Link to LabMeetings
All the LabMeetings are currently online: join here!
Read More »All the LabMeetings are currently online: join here!
Read More »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 »Veronica Lachi (University of Siena) When: May 12, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Representation learning of static and more recently dynamically evolving graphs has gained noticeable attention. Existing approaches for modelling graph dynamics focus extensively on the evolution of individual nodes independently of the evolution of mesoscale community structures. […]
Read More »Alessandro Mecocci When: May 5th, 2021 – 11:00 – 11:45 AM Where: Google meet link
Read More »Caterina Graziani (University of Siena) When: Apr 28, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Many tasks in AI can be divided into roughly two categories: those that require low-level perception, and those that require high-level reasoning. At the same time, there is a growing consensus that being capable of tackling […]
Read More »Giuseppe Alessio D’Inverno (University of Siena) When: Apr 21, 2021 – 11:00 – 11:45 AM Where: Google meet link Description We propose to optimize the activation functions of a deep neural network by adding a corresponding functional regularization to the cost function. We justify the use of a second- order total-variation criterion. This allows us […]
Read More »Author: Matteo Tiezzi Date: March, 2021 Topics: Learning by Constraints; Constraint optimization; Graph Neural Networks; Lifelong Learning. Abstract A crucial role for the success of the Artificial Neural Networks (ANN) processing scheme has been played by the feed-forward propagation of signals. The input patterns undergo a series of stacked parametrized transformations, which foster deep feature […]
Read More »Workshop on “Learning and Reasoning with Embeddings, Knowledge Graphs & Ontologies” WP4 of TAILOR project – Task 4.3 Expected date – June 8, 2021 Conference Room: Google Meet Abstract Integrating Learning and Reasoning is a fundamental problem in AI, especially in application domains dealing with relational data, such as knowledge graphs and ontologies. During this workshop, […]
Read More »Federica Baccini (University of Siena) When: Apr 14, 2021 – 11:00 – 11:45 AM Where: Google meet link Description We propose a method for gene expression based analysis of cancer phenotypes incorporating network biology knowledge through unsupervised construction of computational graphs. The structural construction of the computational graphs is driven by the use of topological […]
Read More »Gabriele Ciravegna (University of Siena) When: Mar 31, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Despite the increasing popularity of deep learning application, in real wold domains the employment of deep neural networks is still limited and strongly criticized due to their lack of interpretability. In particular, providing a comprehensible explanation […]
Read More »Anna Visibelli (University of Siena) When: Mar 24, 2021 – 11:00 – 11:45 AM Where: Google meet link Description The plant Cannabis has been used for millennia for its medical and mind-altering effects. Clinical and preclinical research efforts over the past decades, have defined many effects of cannabis on physiology and behaviour and more recent […]
Read More »Luca Pasqualini (University of Siena) When: Mar 17, 2021 – 11:00 – 11:45 AM Where: Google meet link Description With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very relevant research issue is how to manage the coexistence of different types of traffic, each with very stringent but […]
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