Deep Learning to See / SpringerBriefs in Computer Science (PDF)

Marco Gori received the Ph.D. degree in 1990 from Università di Bologna, Italy, working partly at the School of Computer Science (McGill University, Montreal). In 1992, he became an Associate Professor of Computer Science at Università di Firenze and, in November 1995, he is currently leading the Siena Artificial Intelligence Lab (SAILAB).

Professor Gori is primarily interested in machine learning with applications to pattern recognition, Web mining, game playing, and bioinformatics. He has recently published the monograph "Machine Learning: A constraint-based approach," (MK, 560 pp., 2018), which contains a unified view of his approach. His pioneering role in neural networks has been emerging especially from the recent interest in Graph Neural Networks, that he contributed to introduce in the seminal paper "Graph Neural Networks," IEEE-TNN, 2009.




Professor Gori has been the chair of the Italian Chapter of the IEEE Computational Intelligence Society and the President of the Italian Association for Artificial Intelligence. He is a Fellow of IEEE, a Fellow of EurAI, and a Fellow of IAPR. He was one the first people involved in the European project on Artificial Intelligence CLAIRE, and he is currently a Fellow of Machine Learning association ELLIS. He is in the scientific committee of ICAR-CNR and is the President of the Scientific Committee of FBK-ICT. Dr. Gori is currently holding an international 3IA Chair at the Université Côte d'Azur.

Alessandro Betti received the M.S. degree in Theoretical Physics in 2016 from the University of Pisa, Italy, and the PhD degree in Computer Science (Smart Computing) in 2020, awarded jointly from the Universities of Florence, Pisa, and Siena. He is currently a postdoctoral researcher of the Department of Information Engineering and Mathematics, University of Siena. His main research interests are in machine learning, specifically the formulation of a class of learning problems that possess a natural