Optimal rates for the regularized least-squares algorithm A Caponnetto, E De Vito Foundations of Computational Mathematics 7 (3), 331-368, 2007 | 428 | 2007 |

Are loss functions all the same? L Rosasco, ED Vito, A Caponnetto, M Piana, A Verri Neural Computation 16 (5), 1063-1076, 2004 | 299 | 2004 |

Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009 | 192 | 2009 |

Learning from examples as an inverse problem ED Vito, L Rosasco, A Caponnetto, UD Giovannini, F Odone Journal of Machine Learning Research 6 (May), 883-904, 2005 | 186 | 2005 |

Model selection for regularized least-squares algorithm in learning theory E De Vito, A Caponnetto, L Rosasco Foundations of Computational Mathematics 5 (1), 59-85, 2005 | 182 | 2005 |

Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem C Carmeli, E De Vito, A Toigo Analysis and Applications 4 (04), 377-408, 2006 | 168* | 2006 |

On learning with integral operators L Rosasco, M Belkin, ED Vito Journal of Machine Learning Research 11 (Feb), 905-934, 2010 | 146 | 2010 |

Vector valued reproducing kernel Hilbert spaces and universality C Carmeli, E De Vito, A Toigo, V Umanitį Analysis and Applications 8 (01), 19-61, 2010 | 113 | 2010 |

Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008 | 103 | 2008 |

Some properties of regularized kernel methods ED Vito, L Rosasco, A Caponnetto, M Piana, A Verri Journal of Machine Learning Research 5 (Oct), 1363-1390, 2004 | 90 | 2004 |

Symmetry groups in quantum mechanics and the theorem of Wigner on the symmetry transformations G Cassinelli, E de Vito, PJ Lahti, A Levrero Reviews in Mathematical Physics 9 (08), 921-941, 1997 | 61 | 1997 |

The Theory of Symmetry Actions in Quantum Mechanics G Cassinelli, E De Vito, PJ Lahti, A Levrero The Theory of Symmetry Actions in Quantum Mechanics, 49-59, 2004 | 55* | 2004 |

Adaptive kernel methods using the balancing principle E De Vito, S Pereverzyev, L Rosasco Foundations of Computational Mathematics 10 (4), 455-479, 2010 | 39 | 2010 |

Square-integrability of induced representations of semidirect products P Aniello, G Cassinelli, E de Vito, A Levrero Reviews in Mathematical Physics 10 (03), 301-313, 1998 | 39 | 1998 |

Edges and corners with shearlets MA Duval-Poo, F Odone, E De Vito IEEE Transactions on Image Processing 24 (11), 3768-3780, 2015 | 38 | 2015 |

Learning sets with separating kernels E De Vito, L Rosasco, A Toigo Applied and Computational Harmonic Analysis 37 (2), 185-217, 2014 | 38 | 2014 |

Positive operator valued measures covariant with respect to an irreducible representation G Cassinelli, E De Vito, A Toigo Journal of mathematical physics 44 (10), 4768-4775, 2003 | 37 | 2003 |

Admissible vectors for mock metaplectic representations F De Mari, E De Vito Applied and Computational Harmonic Analysis 34 (2), 163-200, 2013 | 32 | 2013 |

Discretization error analysis for Tikhonov regularization E De Vito, L Rosasco, A Caponnetto Analysis and Applications 4 (01), 81-99, 2006 | 32 | 2006 |

Group theoretical quantum tomography G Cassinelli, GM D’ariano, E De Vito, A Levrero Journal of Mathematical Physics 41 (12), 7940-7951, 2000 | 32 | 2000 |