Optimal rates for the regularized least-squares algorithm A Caponnetto, E De Vito Foundations of Computational Mathematics 7 (3), 331-368, 2007 | 636 | 2007 |

Are loss functions all the same? L Rosasco, E De Vito, A Caponnetto, M Piana, A Verri Neural computation 16 (5), 1063-1076, 2004 | 467 | 2004 |

Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009 | 244 | 2009 |

Learning from Examples as an Inverse Problem. E De Vito, L Rosasco, A Caponnetto, U De Giovannini, F Odone, P Bartlett Journal of Machine Learning Research 6 (5), 2005 | 237 | 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 | 222* | 2006 |

On learning with integral operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010 | 206 | 2010 |

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 | 198 | 2005 |

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 | 161 | 2010 |

Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008 | 135 | 2008 |

Some properties of regularized kernel methods E De Vito, L Rosasco, A Caponnetto, M Piana, A Verri The Journal of Machine Learning Research 5, 1363-1390, 2004 | 108 | 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 | 65 | 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 | 57* | 2004 |

Adaptive kernel methods using the balancing principle E De Vito, S Pereverzyev, L Rosasco Foundations of Computational Mathematics 10 (4), 455-479, 2010 | 53 | 2010 |

Learning sets with separating kernels E De Vito, L Rosasco, A Toigo Applied and Computational Harmonic Analysis 37 (2), 185-217, 2014 | 51 | 2014 |

Edges and corners with shearlets MA Duval-Poo, F Odone, E De Vito IEEE Transactions on Image Processing 24 (11), 3768-3780, 2015 | 47 | 2015 |

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 | 40 | 1998 |

Discretization error analysis for Tikhonov regularization E De Vito, L Rosasco, A Caponnetto Analysis and Applications 4 (01), 81-99, 2006 | 39 | 2006 |

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 | 39 | 2003 |

Group theoretical quantum tomography G Cassinelli, GM D’ariano, E De Vito, A Levrero Journal of Mathematical Physics 41 (12), 7940-7951, 2000 | 33 | 2000 |

Wavelet transforms and discrete frames associated to semidirect products P Aniello, G Cassinelli, E De Vito, A Levrero Journal of Mathematical Physics 39 (8), 3965-3973, 1998 | 32 | 1998 |