Federico Girosi - researchr alias

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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 accidentsNazanin Esmaili, Quinlan D. Buchlak, Massimo Piccardi, Bernie Kruger, Federico Girosi. artmed, 111:101997, 2021. [doi]

2020

A clinical coding recommender systemMani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli. kbs, 210:106455, 2020. [doi]

Incorporation of expert knowledge in the statistical detection of diagnosis related group misclassificationMani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli. ijmi, 136:104086, 2020. [doi]

2017

Digital Knowledge Ecosystem for Empowering Users to Self-manage Diabetes Through Context Specific Actionable InformationManeesh Mathai, Athula Ginige, Uma Srinivasan, Federico Girosi. GPC 2017: 672-684 [doi]

A new generation of Primary Care Service Areas or general practice catchment areasSoumya Mazumdar, Ludovico Pinzari, Nasser Bagheri, Paul Konings, Federico Girosi, Ian McRae. tgis, 21(6):1379-1390, 2017. [doi]

2016

Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector MachinesShima Ghassem Pour, Federico Girosi. copa 2016: 185-195 [doi]

2000

On the Noise Model of Support Vector Machines RegressionMassimiliano Pontil, Sayan Mukherjee, Federico Girosi. alt 2000: 316-324 [doi]

1999

Generalization bounds for function approximation from scattered noisy dataPartha Niyogi, Federico Girosi. adcm, 10(1):51-80, 1999. [doi]

1998

An Equivalence Between Sparse Approximation And Support Vector MachinesFederico Girosi. neco, 10(6):1455-1480, 1998.

Incorporating prior information in machine learning by creating virtual examplesPartha Niyogi, Federico Girosi, Tomaso A. Poggio. pieee, 86(11):2196-2209, 1998. [doi]

A Sparse Representation For Function ApproximationTomaso Poggio, Federico Girosi. neco, 10(6):1445-1454, 1998.

1997

Training Support Vector Machines: an Application to Face DetectionEdgar Osuna, Robert Freund, Federico Girosi. cvpr 1997: 130-136 [doi]

Comparing support vector machines with Gaussian kernels to radial basis function classifiersBernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso Poggio, Vladimir Vapnik. tsp, 45(11):2758-2765, 1997. [doi]

1996

On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis FunctionsPartha Niyogi, Federico Girosi. neco, 8(4):819-842, 1996. [doi]

1995

Regularization Theory and Neural Networks ArchitecturesFederico Girosi, Michael J. Jones, Tomaso A. Poggio. neco, 7(2):219-269, 1995. [doi]

1991

Parallel and Deterministic Algorithms from MRFs: Surface ReconstructionDavi Geiger, Federico Girosi. pami, 13(5):401-412, 1991. [doi]

1990

Parallel and deterministic algorithms from MRFs: surface reconstruction and integrationDavi Geiger, Federico Girosi. eccv 1990: 89-98

Extensions of a Theory of Networks for Approximation and LearningFederico Girosi, Tomaso Poggio, Bruno Caprile. nips 1991: 750-756 [doi]

Networks for approximation and learningTomaso A. Poggio, Federico Girosi. pieee, 78(9):1481-1497, 1990. [doi]

1989

Coupled Markov Random Fields and Mean Field TheoryDavi Geiger, Federico Girosi. nips 1990: 660-667 [doi]

Representation Properties of Networks: Kolmogorov's Theorem Is IrrelevantFederico Girosi, Tomaso A. Poggio. neco, 1(4):465-469, 1989. [doi]

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