Massimiliano Pontil - Google Scholar

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Citazioni	22668	11208
Indice H	70	50
i10-index	133	109

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Coautori

TOMASO POGGIOMcDermott Professor in Brain Sciences, MITEmail verificata su ai.mit.edu
Andreas ArgyriouMicrosoft UKEmail verificata su alum.mit.edu
Paolo FrasconiProfessor of Computer Science, Università di FirenzeEmail verificata su dsi.unifi.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaEmail verificata su unige.it
Bernardino Romera-ParedesGoogle DeepMindEmail verificata su google.com
Michele DoniniAmazonEmail verificata su amazon.com
Mark HerbsterUniversity College LondonEmail verificata su cs.ucl.ac.uk
Luca BaldassarreLead Data Scientist, Swiss ReEmail verificata su swissre.com
Luca FranceschiUniversity College London - Istituto Italiano di TecnologiaEmail verificata su iit.it
Andre ElisseeffGoogleEmail verificata su google.com
Cecilia MascoloUniversity of CambridgeEmail verificata su cl.cam.ac.uk
Carlo CilibertoImperial College LondonEmail verificata su imperial.ac.uk
arthur grettonGatsby Computational Neuroscience Unit, UCLEmail verificata su gatsby.ucl.ac.uk
Salvatore ScellatoDeepMind, Google, University of CambridgeEmail verificata su cl.cam.ac.uk
Anastasios NoulasNew York University, Center for Data Science, Moore-Sloan FellowEmail verificata su cl.cam.ac.uk
Yiming YingDepartment of Mathematics and Statistics, University at Albany, SUNYEmail verificata su albany.edu
Bernd HeiseleEmail verificata su mty.ai
Sayan MukherjeeDuke University, MITEmail verificata su stat.duke.edu
Luca OnetoDIBRIS - University of GenoaEmail verificata su unige.it
David JonesProfessor of Bioinformatics, University College LondonEmail verificata su ucl.ac.uk

Massimiliano Pontil

Istituto Italiano di Tecnologia & University College London

Email verificata su iit.it - Home page

Applied Mathematics Learning Theory Machine Learning Statistics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Regularized multi--task learning T Evgeniou, M Pontil Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1450	2004
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1, 2000	1443	2000
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine learning 73 (3), 243-272, 2008	1388	2008
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 41, 2007	1363	2007
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik NIPS 12, 668-674, 2000	1338	2000
Support vector machines for 3D object recognition M Pontil, A Verri IEEE transactions on pattern analysis and machine intelligence 20 (6), 637-646, 1998	1112	1998
Learning multiple tasks with kernel methods T Evgeniou, CA Micchelli, M Pontil Journal of machine learning research 6 (Apr), 615-637, 2005	914	2005
PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments DT Jones, DWA Buchan, D Cozzetto, M Pontil Bioinformatics 28 (2), 184-190, 2012	615	2012
A tale of many cities: universal patterns in human urban mobility A Noulas, S Scellato, R Lambiotte, M Pontil, C Mascolo PloS one 7 (5), e37027, 2012	601	2012
An empirical study of geographic user activity patterns in foursquare. A Noulas, S Scellato, C Mascolo, M Pontil ICwSM 11 (70-573), 2, 2011	591	2011
On learning vector-valued functions CA Micchelli, M Pontil Neural computation 17 (1), 177-204, 2005	473	2005
Predicting structured data J Altun, G Bakir, O Bousquet, S Chopra, C Cortes, Daume III, O Dekel, ... MIT press, 2007	450*	2007
Learning the kernel function via regularization CA Micchelli, M Pontil Journal of machine learning research 6 (Jul), 1099-1125, 2005	441	2005
Advances in large margin classifiers AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf MIT press, 2000	385	2000
Optimal kernel choice for large-scale two-sample tests A Gretton, D Sejdinovic, H Strathmann, S Balakrishnan, M Pontil, ... Advances in neural information processing systems, 1205-1213, 2012	290	2012
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	288	2001
Face detection in still gray images B Heisele, M Pontil MASSACHUSETTS INST OF TECH CAMBRIDGE MA CENTER FOR BIOLOGICAL AND …, 2000	284	2000
Oracle inequalities and optimal inference under group sparsity K Lounici, M Pontil, S Van De Geer, AB Tsybakov The annals of statistics 39 (4), 2164-2204, 2011	278	2011
Properties of support vector machines M Pontil, A Verri Neural Computation 10 (4), 955-974, 1998	269	1998
Empirical Bernstein bounds and sample variance penalization A Maurer, M Pontil arXiv preprint arXiv:0907.3740, 2009	251	2009

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