Alessandro Betti (DIISM, University of Siena) April 5, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The puzzle of computer vision might find new challenging solutions when we realize that most successful methods are working at image level, which is remarkably more difficult than processing directly visual streams. In this […]

Francesco Giannini (DIISM, University of Siena) March 29, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The success of support vector machines lies in the fact that only a small portion of data are significant to determine the maximum margin hyperplane separating two opposite class of labeled examples, namely the […]

Matteo Tiezzi (DIISM, University of Siena) March 22, 2018 – 10:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In image classification an image with a single object is the focus and the task is to say what it contains. But when we look at the world around us, we carry out far […]

Immanuel Bomze (VCOR/ISOR and DataScience@UniWien) based upon joint work with Michael Kahr, Markus Leitner, Werner Schachinger and Reinhard Ullrich (all Univ.Wien) April 3, 2018 – 11:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In a Standard Quadratic Optimization Problem (StQP), a possibly indefinite quadratic form (the simplest nonlinear function) is extremized over […]

Andrea Zugarini (DIISM, University of Siena) March 22, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Current task-oriented dialogue systems are limited to operate in a pre-defined domain. They provide good performances, but they lack of generalization capabilities because of their bound with the specific task. On the other hand, […]

Giuseppe Marra (DIISM, University of Siena) March 15th, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In spite of the amazing results of deep learning in many applications, a real intelligent behavior of an agent, acting in a complex environment, is likely to require some kind of higher-level symbolic inference. […]

Vincenzo Laveglia (DIISM, University of Siena) March 8, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Target propagation in deep neural networks aims at improving the learning process by determining target outputs for the hidden layers of the network. To date, this has been accomplished relying on autoassociative networks applied […]