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Roberto Fierimonte
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2010 – 2019
- 2019
- [j3]Alex Mansbridge, Roberto Fierimonte, Ilya Feige, David Barber:
Improving latent variable descriptiveness by modelling rather than ad-hoc factors. Mach. Learn. 108(8-9): 1601-1611 (2019) - 2018
- [i1]Alex Mansbridge, Roberto Fierimonte, Ilya Feige, David Barber:
Improving latent variable descriptiveness with AutoGen. CoRR abs/1806.04480 (2018) - 2017
- [j2]Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella:
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2699-2711 (2017) - [c3]Roberto Fierimonte, Rosa Altilio, Massimo Panella:
Distributed on-line learning for random-weight fuzzy neural networks. FUZZ-IEEE 2017: 1-6 - 2016
- [j1]Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini:
Distributed semi-supervised support vector machines. Neural Networks 80: 43-52 (2016) - [c2]Roberto Fierimonte, Marco Barbato, Antonello Rosato, Massimo Panella:
Distributed learning of Random Weights Fuzzy Neural Networks. FUZZ-IEEE 2016: 2287-2294 - [p1]Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini:
A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. Advances in Neural Networks 2016: 143-152 - 2015
- [c1]Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8
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