Francesco Dinuzzo

According to our database1, Francesco Dinuzzo authored at least 26 papers between 2007 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Electricity Demand Forecasting by Multi-Task Learning.
IEEE Trans. Smart Grid, 2018

2017
Stance Classification of Context-Dependent Claims.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2015
Kernels for Linear Time Invariant System Identification.
SIAM J. Control. Optim., 2015

2014
Kernel methods in system identification, machine learning and function estimation: A survey.
Autom., 2014

A Unifying View of Representer Theorems.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Finding Potential Support Vectors in Separable Classification Problems.
IEEE Trans. Neural Networks Learn. Syst., 2013

Learning output kernels for multi-task problems.
Neurocomputing, 2013

2012
Learning from Distributions via Support Measure Machines.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The representer theorem for Hilbert spaces: a necessary and sufficient condition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Interactive domain adaptation technique for the classification of remote sensing images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Client-Server Multitask Learning From Distributed Datasets.
IEEE Trans. Neural Networks, 2011

Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods.
IEEE Trans. Neural Networks, 2011

Learning low-rank output kernels.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Learning Output Kernels with Block Coordinate Descent.
Proceedings of the 28th International Conference on Machine Learning, 2011

On the discardability of data in support vector classification problems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Bayesian Online Multitask Learning of Gaussian Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Fixed-point and coordinate descent algorithms for regularized kernel methods
CoRR, 2010

Kernel machines with two layers and multiple kernel learning
CoRR, 2010

2009
Higher Order Sliding Mode Controllers With Optimal Reaching.
IEEE Trans. Autom. Control., 2009

An algebraic characterization of the optimum of regularized kernel methods.
Mach. Learn., 2009

Finite-time output stabilization with second order sliding modes.
Autom., 2009

A second order sliding mode controller with polygonal constraints.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Sliding mode optimal regulator for a bolza-meyer criterion with non-quadratic state energy terms.
Proceedings of the American Control Conference, 2009

2008
Client-server multi-task learning from distributed datasets
CoRR, 2008

Bayesian online multi-task learning using regularization networks.
Proceedings of the American Control Conference, 2008

2007
On the Representer Theorem and Equivalent Degrees of Freedom of SVR.
J. Mach. Learn. Res., 2007


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