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Filippo Portera
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Books and Theses
- 2005
- [b1]Filippo Portera:
Loss functions and structured domains for support vector machines. University of Bologna, Italy, 2005
Journal Articles
- 2005
- [j1]Alessio Micheli, Filippo Portera, Alessandro Sperduti:
A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains. Neurocomputing 64: 73-92 (2005)
Conference and Workshop Papers
- 2020
- [c5]Filippo Portera:
A Generalized Quadratic Loss for SVM and Deep Neural Networks. LOD (1) 2020: 13-24 - 2004
- [c4]Filippo Portera, Alessandro Sperduti:
A Generalized Quadratic Loss for Support Vector Machines. ECAI 2004: 628-634 - [c3]Alessio Micheli, Filippo Portera, Alessandro Sperduti:
A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. ESANN 2004: 293-298 - [c2]Filippo Portera, Alessandro Sperduti:
Support Vector Regression with a Generalized Quadratic Loss. WIRN 2004: 209-216 - 2003
- [c1]Alessio Micheli, Filippo Portera, Alessandro Sperduti:
QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration. WIRN 2003: 308-315
Informal and Other Publications
- 2023
- [i2]Filippo Portera:
A Generalized Weighted Loss for SVC and MLP. CoRR abs/2302.12011 (2023) - 2021
- [i1]Filippo Portera:
A generalized quadratic loss for SVM and Deep Neural Networks. CoRR abs/2102.07606 (2021)
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