Federico Girosi

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Regularization Theory and Neural Networks Architectures

Tomaso A. Poggio, Michael J. Jones, Federico Girosi, 1995, Neural Computation.

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

Federico Girosi, Shima Ghassem Pour, F. Girosi, 2016, COPA.

Reducing bias in difference-in-differences models using entropy balancing

Federico Girosi, Matthew Cefalu, Brian G. Vegetabile, 2020, 2011.04826.

Developing and interpreting models to improve diagnostics in developing countries

Federico Girosi, Jeffrey Wasserman, Stuart S. Olmsted, 2006, Nature.

Support Vector Machines: Training and Applications

Federico Girosi, Robert M. Freund, E. Osuna, 1997 .

Incorporating prior information in machine learning by creating virtual examples

Tomaso Poggio, Partha Niyogi, Federico Girosi, 1998, Proc. IEEE.

Health Trajectory Clustering Using Deep Belief Networks

Farshid Hajati, Federico Girosi, Shima Ghassempour, 2016 .

Generalization bounds for function approximation from scattered noisy data

Federico Girosi, Partha Niyogi, F. Girosi, 1999, Adv. Comput. Math..

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

Federico Girosi, Soumya Mazumdar, Ludovico Pinzari, 2017, Trans. GIS.

Evaluation Report of the First Three Years (2017-2019) of the Medicare Advantage Value-Based Insurance Design Model Test

Federico Girosi, Matthew Cefalu, Michael Dworsky, 2020 .

Optical Flow From Real Images

Federico Girosi, V. Torre, S. Uras, 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.

Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction

Federico Girosi, Davi Geiger, F. Girosi, 1991, IEEE Trans. Pattern Anal. Mach. Intell..

Data Science and the Policy Completion Problem

Fei Wang, Sanjay Chawla, Federico Girosi, 2014 .

Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant

Tomaso A. Poggio, Federico Girosi, F. Girosi, 1989, Neural Computation.

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

Federico Girosi, Mani Suleiman, Haydar Demirhan, 2020, Int. J. Medical Informatics.

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

Federico Girosi, Athula Ginige, Uma Srinivasan, 2017, GPC.

Understanding the Lee-Carter Mortality Forecasting Method

Federico Girosi, Gary King, F. Girosi, 2007 .

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network

Annalisa Barla, Federico Girosi, Samuele Fiorini, 2019, PloS one.

Neural Networks for Signal Processing 5. Proceedings of the 1995 IEEE Workshop (5th) Held in Cambridge, MA on 31 Aug-2 Sep 95.

Elizabeth Wilson, Federico Girosi, John Makhoul, 1995 .

A Framework To Generate Actionable Information For Mobile Based Information System That Empowers Users To Self-Manage Type 2 Diabetes

Federico Girosi, Athula Ginige, Maneesh Mathai Koottunkal, 2019, 2019 IEEE 5th International Conference for Convergence in Technology (I2CT).

Coupled Markov Random Fields and Mean Field Theory

Federico Girosi, Davi Geiger, F. Girosi, 1989, NIPS.

On The Understanding Of Motion Of Rigid Objects

Federico Girosi, Bruno Caprile, V. Torre, 1987, Other Conferences.

Neural Networks for Signal Processing V : proceedings of the 1995 IEEE Workshop

Federico Girosi, F. Girosi, 1995 .

A clinical coding recommender system

Federico Girosi, Haydar Demirhan, Mani Suleiman, 2020, Knowl. Based Syst..

Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models

Federico Girosi, Massimo Piccardi, Nazanin Esmaili, 2018, PloS one.

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

Bernhard Schölkopf, Tomaso A. Poggio, Federico Girosi, 1997, IEEE Trans. Signal Process..

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network

Annalisa Barla, Federico Girosi, Samuele Fiorini, 2019, bioRxiv.

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

Osonde Osoba, Federico Girosi, David Kennedy, 2020, ArXiv.

Architecture For Mobile Based Information System That Empowers Users To Self-Manage Type 2 Diabetes

Federico Girosi, Athula Ginige, Maneesh Mathai Koottunkal, 2019, 2019 IEEE 5th International Conference for Convergence in Technology (I2CT).

An Equivalence Between Sparse Approximation and Support Vector Machines

Federico Girosi, F. Girosi, 1998, Neural Computation.

Sparse correlation kernel reconstruction

Tomaso A. Poggio, Federico Girosi, Constantine Papageorgiou, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

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

Federico Girosi, Partha Niyogi, F. Girosi, 1996, Neural Computation.

Reducing the run-time complexity of Support Vector Machines

Federico Girosi, E. Osuna, F. Girosi, 1999 .

Correction: Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models

Federico Girosi, Massimo Piccardi, Nazanin Esmaili, 2019, PloS one.

Parallel and deterministic algorithms from MRFs: surface reconstruction and integration

Federico Girosi, Davi Geiger, F. Girosi, 1990, ECCV.

Clustering Multivariate Time Series Using Hidden Markov Models

Federico Girosi, Anthony Maeder, Shima Ghassempour, 2014, International journal of environmental research and public health.

Extensions of a Theory of Networks for Approximation and Learning

Tomaso A. Poggio, Federico Girosi, Bruno Caprile, 1990, NIPS.

An improved training algorithm for support vector machines

Federico Girosi, Robert M. Freund, E. Osuna, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

HyperBF: a powerful approximation technique for learning

Tomaso Poggio, Federico Girosi, F. Girosi, 1991 .

A Sparse Representation for Function Approximation

Tomaso A. Poggio, Federico Girosi, F. Girosi, 1998, Neural Computation.

Bayesian logistic regression approaches to predict incorrect DRG assignment

Federico Girosi, Mani Suleiman, Leanne Boyd, 2019, Health care management science.

Building Digital Knowledge System Through Mobile Interfaces: The Case Study Of Mobile Application For Diabetes Management

Federico Girosi, Athula Ginige, Uma Srinivasan, 2019, ICSIM 2019.

Regularization Theory, Radial Basis Functions and Networks

Federico Girosi, F. Girosi, 1994 .

On the Noise Model of Support Vector Machines Regression

Massimiliano Pontil, Federico Girosi, Sayan Mukherjee, 2000, ALT.

Training support vector machines: an application to face detection

Federico Girosi, Edgar Osuna, Robert Freund, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

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

Massimo Piccardi, Federico Girosi, Nazanin Esmaili, 2021, Artif. Intell. Medicine.

Reducing the burden of sexually transmitted infections in resource-limited settings: the role of improved diagnostics

Federico Girosi, Peter Vickerman, Rosanna W. Peeling, 2006, Nature.

Technical Executive Summary in Support of “Can Electronic Medical Record Systems Transform Healthcare?” and “Promoting Health Information Technology”

Federico Girosi, James H. Bigelow, F. Girosi, 2005 .

Promoting Health Information Technology

Federico Girosi, James H. Bigelow, Roger Taylor, 2005 .

Modeling health care policy alternatives.

Federico Girosi, Christine Eibner, Elizabeth A McGlynn, 2010, Health services research.

Forecasting Global Temperature Variations by Neural Networks

Federico Girosi, Takaya Miyano, F. Girosi, 1994 .

Overview of the COMPARE Microsimulation Model

Melinda Beeuwkes Buntin, Federico Girosi, Raffaele Vardavas, 2009 .

Reducing the global burden of acute lower respiratory infections in children: the contribution of new diagnostics

Yee-Wei Lim, Federico Girosi, Mark Steinhoff, 2006, Nature.

Small firms' actions in two areas, and exchange premium and enrollment impact.

Federico Girosi, Raffaele Vardavas, Christine Eibner, 2012, Health affairs.

Health Information Technology: Can HIT Lower Costs and Improve Quality?

Federico Girosi, James H. Bigelow, Roger Taylor, 2005 .

The benefits of risk factor prevention in Americans aged 51 years and older.

Federico Girosi, S Jay Olshansky, Pierre-Carl Michaud, 2009, American journal of public health.

Continuous Stochastic Cellular Automata That Have a Stationary Distribution and No Detailed Balance

Federico Girosi, Tomaso Poggio, F. Girosi, 1990 .

A framework for the identification and classification of homogeneous socioeconomic areas in the analysis of health care variation

Federico Girosi, Soumya Mazumdar, Ludovico Pinzari, 2018, International Journal of Health Geographics.

Determining the Priority Global Health Needs and Quantifying the Health Benefits Resulting From the Introduction of New Diagnostics in the Developing World

Yee-Wei Lim, Federico Girosi, Julia E. Aledort, 2006 .

Reducing the global burden of tuberculosis: the contribution of improved diagnostics

Federico Girosi, Christopher Dye, Emmett Keeler, 2006, Nature.