Roberto Fierimonte

Roberto Fierimonte

Machine Learning Engineer

Publications

Improving latent variable descriptiveness by modelling rather than ad-hoc factors

A. Mansbridge, R. Fierimonte, I. Feige, and D. Barber, "Improving latent variable descriptiveness by modelling rather than ad-hoc factors", in Machine Learning, vol. 108, pp. 1601–1611, 2019, doi: 10.1007/s10994-019-05830-1.

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion

R. Fierimonte, S. Scardapane, A. Uncini, and M. Panella, "Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion," in IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 11, pp. 2699-2711, Nov. 2017, doi: 10.1109/TNNLS.2016.2597444.

Distributed semi-supervised support vector machines

S. Scardapane, R. Fierimonte, P. Di Lorenzo, M. Panella, and A. Uncini. "Distributed Semi-Supervised Support Vector Machines", in Neural Networks, vol. 80, pp. 43-52, Elsevier, 2016, doi: 10.1016/j.neunet.2016.04.007.

Distributed learning of Random Weights Fuzzy Neural Networks

R. Fierimonte, M. Barbato, A. Rosato, and M. Panella, "Distributed learning of Random Weights Fuzzy Neural Networks," 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, BC, Canada, 2016, pp. 2287-2294, doi: 10.1109/FUZZ-IEEE.2016.7737978.

Distributed music classification using Random Vector Functional-Link nets

S. Scardapane, R. Fierimonte, D. Wang, M. Panella, and A. Uncini, "Distributed music classification using Random Vector Functional-Link nets," 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015, pp. 1-8, doi: 10.1109/IJCNN.2015.7280333.