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 […]

Read More »

[Nov 21th 2018] LabMeeting: On confidence measures for deep learning in domain adaptation applications

Simone Bonechi (DIISM, University of Siena) Nov 21, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, Deep Neural Networks (DNNs) led to impressive results in a wide variety of machine learning tasks, tipically relying on the existence of a huge amount of supervised data. However, in many […]

Read More »

[Nov 14th 2018] LabMeeting: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Paolo Andreini (DIISM, University of Siena) Nov 14, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs) will be presented. Conditional GANs have enabled a variety of applications, but […]

Read More »
Winners of soccer data challenge

First Place at SoBigData Soccer Data Challenge

Three of our PhD students Matteo Tiezzi, Dario Zanca, Andrea Zugarini, together with Alessandro Rossi, former PhD student of our lab as well, won the SoBigData Soccer Data Challenge, held in Pisa on October 12-13 during the Internet Festival 2018. The competition was open to people with a passion for data and soccer. For 30 […]

Read More »
simone marullo

Simone Marullo Awarded with Pietro Torasso Prize from AI*IA

Simone Marullo, currently student of Computer and Automation Engineering Master Degree at University of Siena, has been awarded with the “Pietro Torasso” prize from the Italian Association for Artificial Intelligence (AI*IA). Popularize Artificial intelligence 2018 – Pietro Torasso Prize was meant to remember Prof. Torasso by encouraging scientific outreach of AI techniques by students. The […]

Read More »

Best Student Paper Award at AI*IA 2018

Lisa Graziani, PhD Student of Universities of Florence and Siena, received best student paper award at AI*IA 2018 (International Conference of the Italian Association for Artificial Intelligence). The awarded paper is “The Role of Coherence in Facial Expression Recognition” written by Lisa Graziani, Stefano Melacci and Marco Gori. It will be presented during the conference, […]

Read More »

Facial Expression Recognition

This is still a work-in-progress, but you can try the demo of our Facial Emotion Recognizer based on Convolutional Neural Networks and Learning from Constraints! >> ONLINE DEMO

Read More »

[Oct 24th 2018] LabMeeting: Some Approaches to Learning of Logical Constraints

Francesco Giannini (DIISM, University of Siena) Oct 24, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description While learning from constraints is a main topic in artificial intelligence, the problem of learning constraints from exam- ples has received less attention. In this talk, we focus on constraints expressed by logical formulas […]

Read More »
dante vs macchina

PoemGen

Is poetry a peculiarity of human beings only? Can machines learn to generate poems that actually convey deep emotional meanings, just like human poets do? A lot of work is still necessary to reach such goal, here we present a simple demo in which we trained two models to generate tercets and verses respectively learning […]

Read More »

[Oct 11th 2018] LabMeeting: Perfect Neuron Building

Alessandro Betti (DIISM, Universities of Florence and Siena) Oct 11, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the impressive progress in machine learning, including the recent advances in deep […]

Read More »