Federico Girosi

Publication Activity (10 Years)

Years Active: 1989-2021
Publications (10 Years): 7

Top Topics

Movie Recommendation

Expert Knowledge

Multiclass Support Vector Machines

Traffic Accidents

Top Venues

Artif. Intell. Medicine

Int. J. Medical Informatics

Publications

Nazanin Esmaili, Quinlan D. Buchlak, Massimo Piccardi, Bernie Kruger, Federico Girosi
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. Artif. Intell. Medicine 111 (2021)
Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli
A clinical coding recommender system. Knowl. Based Syst. 210 (2020)
Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba
Deep Generative Modeling in Network Science with Applications to Public Policy Research. CoRR (2020)
Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli
Incorporation of expert knowledge in the statistical detection of diagnosis related group misclassification. Int. J. Medical Informatics 136 (2020)
Soumya Mazumdar, Ludovico Pinzari, Nasser Bagheri, Paul Konings, Federico Girosi, Ian McRae
A new generation of Primary Care Service Areas or general practice catchment areas. Trans. GIS 21 (6) (2017)
Maneesh Mathai, Athula Ginige, Uma Srinivasan, Federico Girosi
Digital Knowledge Ecosystem for Empowering Users to Self-manage Diabetes Through Context Specific Actionable Information. GPC (2017)
Shima Ghassem Pour, Federico Girosi
Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines. COPA (2016)
Massimiliano Pontil, Sayan Mukherjee, Federico Girosi
On the Noise Model of Support Vector Machines Regression. ALT (2000)
Constantine Papageorgiou, Federico Girosi, Tomaso A. Poggio
Sparse correlation kernel reconstruction. ICASSP (1999)
Partha Niyogi, Federico Girosi
Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10 (1) (1999)
Federico Girosi
An Equivalence Between Sparse Approximation And Support Vector Machines. Neural Comput. 10 (6) (1998)
Partha Niyogi, Federico Girosi, Tomaso A. Poggio
Incorporating prior information in machine learning by creating virtual examples. Proc. IEEE 86 (11) (1998)
Tomaso A. Poggio, Federico Girosi
A Sparse Representation For Function Approximation. Neural Comput. 10 (6) (1998)
Edgar Osuna, Robert Freund, Federico Girosi
Training Support Vector Machines: an Application to Face Detection. CVPR (1997)
Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik
Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45 (11) (1997)
Partha Niyogi, Federico Girosi
On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. Neural Comput. 8 (4) (1996)
Federico Girosi, Michael J. Jones, Tomaso A. Poggio
Regularization Theory and Neural Networks Architectures. Neural Comput. 7 (2) (1995)
Davi Geiger, Federico Girosi
Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 13 (5) (1991)
Davi Geiger, Federico Girosi
Parallel and deterministic algorithms from MRFs: surface reconstruction and integration. ECCV (1990)
Federico Girosi, Tomaso A. Poggio, Bruno Caprile
Extensions of a Theory of Networks for Approximation and Learning. NIPS (1990)
Tomaso A. Poggio, Federico Girosi
Networks for approximation and learning. Proc. IEEE 78 (9) (1990)
Davi Geiger, Federico Girosi
Coupled Markov Random Fields and Mean Field Theory. NIPS (1989)
Federico Girosi, Tomaso A. Poggio
Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant. Neural Comput. 1 (4) (1989)