Welcome!

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 […]

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First Place at Hackathon Infinity

Three of our PhD students (Giuseppe Marra, Dario Zanca, and Andrea Zugarini, together with Giovanni Ciccone) won the Hackathon Mediaset Infinity, held in Rimini at Web Marketing Festival 2018. The goal of the challenge was to predict churn rate of users registered in infinitytv platform. Ten teams, composed of both students and professionals from Statistics […]

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[ Jun 21st 2018] Lab Meeting: Loss functions generation by means of fuzzy aggregators

Francesco Giannini (DIISM, University of Siena) Jun 21, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In a learning from constraints problem, the prior knowledge can be expressed by logical formulas and then converted into real valued functions. Hence the satisfaction of a certain formula F can be enforced by […]

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[Jun 7th 2018] LabMeeting: Probabilistic Soft Logic

Giuseppe Marra (DIISM, University of Siena) Jun 7, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description A fundamental challenge in developing high-impact machine learning technologies is balancing the need to model rich, structured domains with the ability to scale to big data. Many important problem areas are both richly structured […]

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[May 31st 2018] LabMeeting: Depth growing neural networks

Vincenzo Laveglia (DIISM, University of Siena) May 31, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Being able to train neural networks (shallow or deep) requires the ability to identify the right hyper-parameters for the model. Some of these hyper-parameters are more related to the training procedure (epochs, learning rate, […]

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[May 24th 2018] LabMeeting: Geometric deep learning: dealing to structured data

Alberto Rossi (DIISM, University of Siena) May 24, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Many research areas deal with structured data, like social science, biology and computer graphics. Such geometric data could be very large and complex (social network), and machine learning techniques reveal their power to deal […]

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[May 28th 2018] Deep Learning of Barcode Sequences

Dr. Stefan C. Kremer, Professor (School of Computer and Science, University of Guelph, ON, CANADA) May 28, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Biological systems, on all scales, are essentially information processing and control systems. From this perspective, analogies between biological processes and computational processes can be drawn. […]

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[May 10th 2018] (Social) Network Analysis as a paradigm for knowledge extraction in various contexts

Domenico Ursino (Università Politecnica delle Marche) May 6, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description (Social) Network Analysis has been, and is currently, under investigation. Indeed, it is rooted in graph theory, has received a lot of attention from sociologists in the second half of the last century, and […]

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[May 10th 2018] LabMeeting: DBox: Deep Learning for Bounding Box Supervision in Semantic Segmentation

Simone Bonechi (DIISM, University of Siena) May 10, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Most of the leading convolutional neural networks for semantic segmentation exploit a large number of pixel–level annotations. Such human based labelling require a considerable effort that complicate the creation of large–scale datasets. In this […]

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