Networks for approximation and learning T Poggio, F Girosi Proceedings of the IEEE 78 (9), 1481-1497, 1990 | 4883 | 1990 |

Training support vector machines: an application to face detection E Osuna, R Freund, F Girosit Proceedings of IEEE computer society conference on computer vision and …, 1997 | 4136 | 1997 |

Can electronic medical record systems transform health care? Potential health benefits, savings, and costs R Hillestad, J Bigelow, A Bower, F Girosi, R Meili, R Scoville, R Taylor Health affairs 24 (5), 1103-1117, 2005 | 2578 | 2005 |

Regularization theory and neural networks architectures F Girosi, M Jones, T Poggio Neural computation 7 (2), 219-269, 1995 | 2006 | 1995 |

Comparing support vector machines with Gaussian kernels to radial basis function classifiers B Scholkopf, KK Sung, CJC Burges, F Girosi, P Niyogi, T Poggio, ... IEEE transactions on Signal Processing 45 (11), 2758-2765, 1997 | 1866 | 1997 |

An improved training algorithm for support vector machines E Osuna, R Freund, F Girosi Neural networks for signal processing VII. Proceedings of the 1997 IEEE …, 1997 | 1839 | 1997 |

Regularization algorithms for learning that are equivalent to multilayer networks T Poggio, F Girosi Science 247 (4945), 978-982, 1990 | 1470 | 1990 |

Support vector machines: Training and applications EE Osuna Massachusetts Institute of Technology, 1998 | 1271 | 1998 |

Networks and the best approximation property F Girosi, T Poggio Biological cybernetics 63 (3), 169-176, 1990 | 1264 | 1990 |

A Theory of Networks for Appxoimation and Learning T Poggio, F Girosi | 1076 | 1989 |

Nonlinear prediction of chaotic time series using support vector machines S Mukherjee, E Osuna, F Girosi Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE …, 1997 | 889 | 1997 |

An Equivalence Between Sparse Approximation and Support Vector Machines F Girosi | 782* | |

Parallel and deterministic algorithms from MRFs: Surface reconstruction D Geiger, F Girosi IEEE Transactions on Pattern Analysis & Machine Intelligence 13 (05), 401-412, 1991 | 701 | 1991 |

A computational approach to motion perception S Uras, F Girosi, A Verri, V Torre Biological cybernetics 60, 79-87, 1988 | 596 | 1988 |

Incorporating prior information in machine learning by creating virtual examples P Niyogi, F Girosi, T Poggio Proceedings of the IEEE 86 (11), 2196-2209, 1998 | 435 | 1998 |

Demographic forecasting F Girosi, G King Princeton University Press, 2008 | 388 | 2008 |

Reducing the global burden of tuberculosis: the contribution of improved diagnostics E Keeler, MD Perkins, P Small, C Hanson, S Reed, J Cunningham, ... Nature 444 (Suppl 1), 49-57, 2006 | 359 | 2006 |

Prevalence and sociodemographic correlates of DSM-5 eating disorders in the Australian population P Hay, F Girosi, J Mond Journal of eating disorders 3, 1-7, 2015 | 317 | 2015 |

On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions P Niyogi, F Girosi Neural Computation 8 (4), 819-842, 1996 | 287 | 1996 |

Reducing the run-time complexity of support vector machines E Osuna, F Girosi International conference on pattern recognition (submitted), 1998 | 274 | 1998 |