Alessandro Betti (DIISM, Universities of Florence and Siena) Oct 4, 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 progress in machine learning, including the recent advances in deep learning. […]

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 […]

Andrea Zugarini (DIISM, University of Siena) Jun 14, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Word and context embeddings have been of significant help in achieving state-of-the-art results in different Natural Language Processing (NLP) tasks. The success of these representations comes from the learning process, tipycally accomplished in unsupervised […]

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 […]

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, […]

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 […]

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. […]

Dario Zanca (DIISM, University of Siena) May 17, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Fast and cheap localization of objects of interest (OOIs) in very high resolution (VHR) images is a challenging problem. VHR can not be processed all in one step and linear search may be highly […]

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 […]

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 […]