Coupled Markov Random Fields and Mean Field Theory. - Davi Geiger; Federico Girosi (NIPS, 1989)

Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant. - Federico Girosi; Tomaso A. Poggio (Neural Comput., 1989)

Parallel and deterministic algorithms from MRFs: surface reconstruction and integration. - Davi Geiger; Federico Girosi (ECCV, 1990)

Extensions of a Theory of Networks for Approximation and Learning. - Federico Girosi; Tomaso A. Poggio; Bruno Caprile (NIPS, 1990)

Networks for approximation and learning. - Tomaso A. Poggio; Federico Girosi (Proc. IEEE, 1990)

Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction. - Davi Geiger; Federico Girosi (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Regularization Theory and Neural Networks Architectures. - Federico Girosi; Michael J. Jones 001; Tomaso A. Poggio (Neural Comput., 1995)

On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. - Partha Niyogi; Federico Girosi (Neural Comput., 1996)

Training Support Vector Machines: an Application to Face Detection. - Edgar Osuna; Robert M. Freund; Federico Girosi (CVPR, 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)

An Equivalence Between Sparse Approximation And Support Vector Machines. - Federico Girosi (Neural Comput., 1998)

A Sparse Representation For Function Approximation. - Tomaso A. Poggio; Federico Girosi (Neural Comput., 1998)

Incorporating prior information in machine learning by creating virtual examples. - Partha Niyogi; Federico Girosi; Tomaso A. Poggio (Proc. IEEE, 1998)

Sparse correlation kernel reconstruction. - Constantine Papageorgiou; Federico Girosi; Tomaso A. Poggio (ICASSP, 1999)

Generalization bounds for function approximation from scattered noisy data. - Partha Niyogi; Federico Girosi (Adv. Comput. Math., 1999)

On the Noise Model of Support Vector Machines Regression. - Massimiliano Pontil; Sayan Mukherjee 004; Federico Girosi (ALT, 2000)

Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines. - Shima Ghassem Pour; Federico Girosi (COPA, 2016)

Digital Knowledge Ecosystem for Empowering Users to Self-manage Diabetes Through Context Specific Actionable Information. - Maneesh Mathai; Athula Ginige; Uma Srinivasan 001; Federico Girosi (GPC, 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)

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)

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)

A clinical coding recommender system. - Mani Suleiman; Haydar Demirhan; Leanne Boyd; Federico Girosi; Vural Aksakalli (Knowl. Based Syst., 2020)

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)