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ORCIDFederico Girosi
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2020 – today
- 2021
[j14]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: 101997 (2021)- 2020
- [j13]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: 104086 (2020) - [j12]Mani Suleiman, Haydar Demirhan, Leanne Boyd, Federico Girosi, Vural Aksakalli:
A clinical coding recommender system. Knowl. Based Syst. 210: 106455 (2020) - [i1]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 abs/2010.07870 (2020)
2010 – 2019
- 2017
- [j11]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): 1379-1390 (2017) - [c8]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: 672-684 - 2016
- [c7]Shima Ghassem Pour, Federico Girosi:
Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines. COPA 2016: 185-195
2000 – 2009
- 2000
- [c6]Massimiliano Pontil, Sayan Mukherjee, Federico Girosi:
On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324
1990 – 1999
- 1999
- [j10]Partha Niyogi, Federico Girosi:
Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10(1): 51-80 (1999) - [c5]Constantine Papageorgiou, Federico Girosi, Tomaso A. Poggio:
Sparse correlation kernel reconstruction. ICASSP 1999: 1633-1636 - 1998
- [j9]Tomaso A. Poggio, Federico Girosi:
A Sparse Representation For Function Approximation. Neural Comput. 10(6): 1445-1454 (1998) - [j8]Federico Girosi:
An Equivalence Between Sparse Approximation And Support Vector Machines. Neural Comput. 10(6): 1455-1480 (1998) - [j7]Partha Niyogi, Federico Girosi, Tomaso A. Poggio:
Incorporating prior information in machine learning by creating virtual examples. Proc. IEEE 86(11): 2196-2209 (1998) - 1997
- [j6]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): 2758-2765 (1997) - [c4]Edgar Osuna, Robert M. Freund, Federico Girosi:
Training Support Vector Machines: an Application to Face Detection. CVPR 1997: 130-136 - 1996
- [j5]Partha Niyogi, Federico Girosi:
On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. Neural Comput. 8(4): 819-842 (1996) - 1995
- [j4]Federico Girosi, Michael J. Jones, Tomaso A. Poggio:
Regularization Theory and Neural Networks Architectures. Neural Comput. 7(2): 219-269 (1995) - 1991
- [j3]Davi Geiger, Federico Girosi:
Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 13(5): 401-412 (1991) - 1990
- [j2]Tomaso A. Poggio, Federico Girosi:
Networks for approximation and learning. Proc. IEEE 78(9): 1481-1497 (1990) - [c3]Davi Geiger, Federico Girosi:
Parallel and deterministic algorithms from MRFs: surface reconstruction and integration. ECCV 1990: 89-98 - [c2]Federico Girosi, Tomaso A. Poggio, Bruno Caprile:
Extensions of a Theory of Networks for Approximation and Learning. NIPS 1990: 750-756
1980 – 1989
- 1989
- [j1]Federico Girosi, Tomaso A. Poggio:
Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant. Neural Comput. 1(4): 465-469 (1989) - [c1]Davi Geiger, Federico Girosi:
Coupled Markov Random Fields and Mean Field Theory. NIPS 1989: 660-667
Coauthor Index
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