Looking around Doha, you get the feeling that the city is going to play a significant role in changing the composition of many fields in the near future. Having the chance to be a part of it is a great opportunity.”
The main focus of his research at QCRI will be to design and develop machine learning models of natural language for supporting advanced ALT applications. A goal of his research will be to make the developed techniques available through the Iyas framework, developed by the ALT group, in order to foster its use by researchers and industrial partners.
Giovanni has published in top conferences and journals in the machine learning field. He is also a reviewer for the IEEE Transactions on Neural Networks journal and for several conferences.
2006-2009 Doctor of Philosophy in Computer Science
University of Bologna
2003-2005 Master Degree in Computer Science
University of Pisa, Italy
1998-2003 Bachelor Degree in Computer Science
University of Pisa, Italy
T. Sanavia, F. Aiolli, G. Da San Martino, A. Bisognin, B. Di Camillo, “Improving biomarker list stability by integration of biological knowledge in the learning process”, in Supplement of BMC Bioinformatics on BITS 2011, 2012.
F. Aiolli, G. Da San Martino, A. Sperduti, “An Efficient Topological Distance-based Tree Kernel”, to appear in the Transactions on Neural Networks and Learning Systems journal.
F. Aiolli, G. Da San Martino, A. Sperduti, ”Route Kernels for Trees”, in Proceedings of the 26th International Conference on Machine Learning. June 14 - 18, 2009, Montreal, Canada.
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