Emanuele Frandi

According to our database, Emanuele Frandi authored at least 11 papers between 2010 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee.

Emanuele Frandi, Ricardo Ñanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens

Mach. Learn., 2016

Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso.

Marcelo Aliquintuy, Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

Improving Direct Search algorithms by multilevel optimization techniques.

Emanuele Frandi, Alessandra Papini

Optim. Methods Softw., 2015

A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification.

Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Coordinate search algorithms in multilevel optimization.

Emanuele Frandi, Alessandra Papini

Optim. Methods Softw., 2014

A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training.

Ricardo Ñanculef, Emanuele Frandi, Claudio Sartori, Héctor Allende

Inf. Sci., 2014

Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning.

Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens

CoRR, 2014

High level high performance computing for multitask learning of time-varying models.

Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

2013

Training Support Vector Machines using Frank-Wolfe Optimization Methods.

Emanuele Frandi, Ricardo Ñanculef, Maria Grazia Gasparo, Stefano Lodi, Claudio Sartori

Int. J. Pattern Recognit. Artif. Intell., 2013

Novel Frank-Wolfe Methods for SVM Learning

Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori

CoRR, 2013

2010

A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls.

Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Ñanculef, Claudio Sartori

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010