Massimiliano Pontil

Cited by

	All	Since 2016
Citations	24319	10845
h-index	69	48
i10-index	142	114

2700

1350

675

2025

2000200120022003200420052006200720082009201020112012201320142015201620172018201920202021113 167 264 410 438 541 561 630 796 885 1018 1160 1289 1430 1663 1714 1832 1889 1916 2202 2602 399

Co-authors

TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Andreas ArgyriouMicrosoft UKVerified email at alum.mit.edu
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
Michele DoniniAmazonVerified email at amazon.com
Bernardino Romera-ParedesGoogle DeepMindVerified email at google.com
Luca FranceschiUniversity College London - Istituto Italiano di TecnologiaVerified email at iit.it
Carlo CilibertoUniversity College LondonVerified email at ucl.ac.uk
Mark HerbsterUniversity College LondonVerified email at cs.ucl.ac.uk
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Andre ElisseeffGoogleVerified email at google.com
Cecilia MascoloUniversity of CambridgeVerified email at cl.cam.ac.uk
Sayan MukherjeeDuke University, MITVerified email at stat.duke.edu
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Salvatore ScellatoDeepMind, Google, University of CambridgeVerified email at cl.cam.ac.uk
Yiming YingDepartment of Mathematics and Statistics, University at Albany, SUNYVerified email at albany.edu
Anastasios NoulasNew York University, Center for Data Science, Moore-Sloan FellowVerified email at cl.cam.ac.uk
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Bernd HeiseleVerified email at mty.ai
Saverio SalzoResearcher, Istituto Italiano di Tecnologia, GenovaVerified email at iit.it

Massimiliano Pontil

Istituto Italiano di Tecnologia & University College London

Verified email at iit.it - Homepage

Applied Mathematics Learning Theory Machine Learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Regularized multi--task learning T Evgeniou, M Pontil Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1558	2004
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 41, 2007	1488*	2007
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1-50, 2000	1484	2000
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine learning 73 (3), 243-272, 2008	1471	2008
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik NIPS 12, 668-674, 2000	1374	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	1145	1998
Learning multiple tasks with kernel methods. T Evgeniou, CA Micchelli, M Pontil, J Shawe-Taylor Journal of machine learning research 6 (4), 2005	960	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	658	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	637	2012
An empirical study of geographic user activity patterns in foursquare A Noulas, S Scellato, C Mascolo, M Pontil Proceedings of the International AAAI Conference on Web and Social Media 5 (1), 2011	632	2011
On learning vector-valued functions CA Micchelli, M Pontil Neural computation 17 (1), 177-204, 2005	501	2005
Predicting structured data G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar MIT press, 2007	467	2007
Learning the Kernel Function via Regularization. CA Micchelli, M Pontil, P Bartlett Journal of machine learning research 6 (7), 2005	465	2005
Advances in large margin classifiers AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf MIT press, 2000	384	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	342	2012
Empirical Bernstein bounds and sample variance penalization A Maurer, M Pontil arXiv preprint arXiv:0907.3740, 2009	303	2009
Oracle inequalities and optimal inference under group sparsity K Lounici, M Pontil, S Van De Geer, AB Tsybakov Annals of statistics 39 (4), 2164-2204, 2011	296	2011
Face detection in still gray images B Heisele, M Pontil MASSACHUSETTS INST OF TECH CAMBRIDGE MA CENTER FOR BIOLOGICAL AND …, 2000	293	2000
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	292	2001
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification YT Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong ... The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016	281*	2016

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors