QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration. - Alessio Micheli; Filippo Portera; Alessandro Sperduti (WIRN, 2003)

A Generalized Quadratic Loss for Support Vector Machines. - Filippo Portera; Alessandro Sperduti (ECAI, 2004)

A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. - Alessio Micheli; Filippo Portera; Alessandro Sperduti (ESANN, 2004)

Support Vector Regression with a Generalized Quadratic Loss. - Filippo Portera; Alessandro Sperduti (WIRN, 2004)

A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains. - Alessio Micheli; Filippo Portera; Alessandro Sperduti (Neurocomputing, 2005)

Loss functions and structured domains for support vector machines. - Filippo Portera (2005)

A Generalized Quadratic Loss for SVM and Deep Neural Networks. - Filippo Portera (LOD (1), 2020)

A Generalized Weighted Loss for SVC and MLP. - Filippo Portera (CoRR, 2023)