Filippo Portera - researchr alias

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Viewing Publication 1 - 7 from 7

2020

A Generalized Quadratic Loss for SVM and Deep Neural NetworksFilippo Portera. mod 2020: 13-24 [doi]

2005

A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domainsAlessio Micheli, Filippo Portera, Alessandro Sperduti. ijon, 64:73-92, 2005. [doi]

Loss functions and structured domains for support vector machinesFilippo Portera. PhD thesis, University of Bologna, Italy, 2005. [doi]

2004

A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasksAlessio Micheli, Filippo Portera, Alessandro Sperduti. esann 2004: 293-298 [doi]

Support Vector Regression with a Generalized Quadratic LossFilippo Portera, Alessandro Sperduti. wirn 2010: 209-216 [doi]

A Generalized Quadratic Loss for Support Vector MachinesFilippo Portera, Alessandro Sperduti. ecai 2004: 628-634

2003

QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their IntegrationAlessio Micheli, Filippo Portera, Alessandro Sperduti. wirn 2003: 308-315 [doi]

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