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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[Mar 27th 2019]: Jumping Finite Automata

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 27, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description This talk proposes a new investigation area in automata theory […]

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[Mar 20th 2019] Lab Meeting: Towards laws of visual attention

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 […]

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SAILab and QuestIT Joint Lab Event

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, […]

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[Mar 13th 2019] Lab Meeting: Integrating Learning and Reasoning with Deep Logic Models

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 […]

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[Mar 6th 2019] LabMeeting: A Deep Learning Models Comparison for Brain Age Estimation

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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SAILab and QuestIT Joint Lab Announcement

We are pleased to announce the inauguration of the joint laboratory of Artificial Intelligence of the University of Siena and QuestIT, the Innovation Lab of The Digital Box. The event will take place on March 6th from 2.30 pm, and March 7th from 8.30 am to 1.30 pm in Siena, at Palazzo del San Niccolò […]

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[Feb 27th 2019] LabMeeting: Supervision Generation for Scene Text Segmentation with Multiscale Attention Networks

Paolo Andreini (DIISM, University of Siena) Feb 27, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar, a novel approach to scene text segmentation is presented. The method exploits a new convolutional neural network model, called Segmentation Multiscale Attention Network (SMANet). Employing the SMANet the COCO–Text–Segmentation (COCO TS) […]

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[Feb 20th 2019] Increasing machine autonomy and ethics

Guglielmo Tamburrini, Università di Napoli Federico II. Feb 20, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The rise of increasingly autonomous AI and robotic systems is bringing about a variety of novel and impending ethical issues. These include the issue whether certain forms of machine autonomy are morally admissible, […]

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[Feb 20th 2019] Explaining the behavior of learning classification systems: a model agnostic approach

Roberto Prevete, Università di Napoli Federico II. Feb 20, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description It is difficult to reconstruct and exhaustively explain the decisions/behaviors of current autonomous or semi-autonomous systems based on Machine Learning techniques. This characteristic is due to the fact that they usually do not […]

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