Federico Girosi

According to our database, Federico Girosi authored at least 23 papers between 1989 and 2021.

Collaborative distances:

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

2021

Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents.

Nazanin Esmaili, Quinlan D. Buchlak, Massimo Piccardi, Bernie Kruger, Federico Girosi

Artif. Intell. Medicine, 2021

2020

A clinical coding recommender system.

Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli

Knowl. Based Syst., 2020

Incorporation of expert knowledge in the statistical detection of diagnosis related group misclassification.

Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli

Int. J. Medical Informatics, 2020

Deep Generative Modeling in Network Science with Applications to Public Policy Research.

Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba

CoRR, 2020

2017

A new generation of Primary Care Service Areas or general practice catchment areas.

Soumya Mazumdar, Ludovico Pinzari, Nasser Bagheri, Paul Konings, Federico Girosi, Ian McRae

Trans. GIS, 2017

Digital Knowledge Ecosystem for Empowering Users to Self-manage Diabetes Through Context Specific Actionable Information.

Maneesh Mathai, Athula Ginige, Uma Srinivasan, Federico Girosi

Proceedings of the Green, Pervasive, and Cloud Computing - 12th International Conference, 2017

2016

Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines.

Shima Ghassem Pour, Federico Girosi

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2000

On the Noise Model of Support Vector Machines Regression.

Massimiliano Pontil, Sayan Mukherjee, Federico Girosi

Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999

Generalization bounds for function approximation from scattered noisy data.

Partha Niyogi, Federico Girosi

Adv. Comput. Math., 1999

Sparse correlation kernel reconstruction.

Constantine Papageorgiou, Federico Girosi, Tomaso A. Poggio

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Incorporating prior information in machine learning by creating virtual examples.

Partha Niyogi, Federico Girosi, Tomaso A. Poggio

Proc. IEEE, 1998

A Sparse Representation For Function Approximation.

Tomaso A. Poggio, Federico Girosi

Neural Comput., 1998

An Equivalence Between Sparse Approximation And Support Vector Machines.

Federico Girosi

Neural Comput., 1998

1997

Comparing support vector machines with Gaussian kernels to radial basis function classifiers.

Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik

IEEE Trans. Signal Process., 1997

Training Support Vector Machines: an Application to Face Detection.

Edgar Osuna, Robert M. Freund, Federico Girosi

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996

On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions.

Partha Niyogi, Federico Girosi

Neural Comput., 1996

1995

Regularization Theory and Neural Networks Architectures.

Federico Girosi, Michael J. Jones, Tomaso A. Poggio

Neural Comput., 1995

1991

Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction.

Davi Geiger, Federico Girosi

IEEE Trans. Pattern Anal. Mach. Intell., 1991

1990

Networks for approximation and learning.

Tomaso A. Poggio, Federico Girosi

Proc. IEEE, 1990

Extensions of a Theory of Networks for Approximation and Learning.

Federico Girosi, Tomaso A. Poggio, Bruno Caprile

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Parallel and deterministic algorithms from MRFs: surface reconstruction and integration.

Davi Geiger, Federico Girosi

Proceedings of the Computer Vision, 1990

1989

Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant.

Federico Girosi, Tomaso A. Poggio

Neural Comput., 1989

Coupled Markov Random Fields and Mean Field Theory.

Davi Geiger, Federico Girosi

Proceedings of the Advances in Neural Information Processing Systems 2, 1989