Theodoros Evgeniou

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Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Olivier ToubiaGlaubinger Professor of Business, Columbia Business SchoolVerified email at columbia.edu
Boris BabicAssistant Professor, The University of TorontoVerified email at utoronto.ca
Sara GerkeAssociate Professor of Law, College of Law, University of Illinois Urbana-ChampaignVerified email at illinois.edu
David MartensUniversity of AntwerpVerified email at uantwerp.be
Jacob AbernethyAssistant Professor, University of MichiganVerified email at umich.edu
Jean-Philippe VertOwkin / PSL UniversityVerified email at owkin.com
Andre ElisseeffGoogleVerified email at google.com
John R. HauserKirin Professor of Marketing, MITVerified email at mit.edu
Olivier ColliotResearch Director at CNRS, ARAMIS LabVerified email at cnrs.fr
Jorge Samper-GonzálezData scientist, QynapseVerified email at inria.fr
Theo VermaelenProfessor of Finance, INSEADVerified email at insead.edu
Nicolas VayatisFull Professor, Centre Borelli, Department of Mathematics, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Foster ProvostProfessor, New York UniversityVerified email at stern.nyu.edu
Daria DzyaburaProfessor of Marketing, New Economic SchoolVerified email at nes.ru
Philippe DelquiéThe George Washington UniversityVerified email at gwu.edu
Eric J. JohnsonNorman Eig Professor of Business, Columbia Business School, Columbia UniversityVerified email at columbia.edu
v padmanabhanINSEADVerified email at insead.edu

Theodoros Evgeniou

INSEAD

Verified email at insead.edu - Homepage

https://github.com/tevgeniou


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	1970	2004
Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 2006	1867	2006
Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine Learning 73 (3), 243-272, 2008	1797	2008
Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1-50, 2000	1671	2000
Learning multiple tasks with kernel methods. T Evgeniou, CA Micchelli, M Pontil, J Shawe-Taylor Journal of machine learning research 6 (4), 2005	1114	2005
Support vector machines: Theory and applications T Evgeniou, M Pontil Advanced course on artificial intelligence, 249-257, 1999	661	1999
To combine or not to combine: selecting among forecasts and their combinations M Hibon, T Evgeniou International journal of forecasting 21 (1), 15-24, 2005	447	2005
A new approach to collaborative filtering: Operator estimation with spectral regularization J Abernethy, F Bach, T Evgeniou, JP Vert The Journal of Machine Learning Research 10, 803-826, 2009	311	2009
A trainable pedestrian detection system C Papageorgiou, T Evgeniou, T Poggio Proc. of Intelligent Vehicles, 241-246, 1998	293	1998
Stability of Randomized Learning Algorithms. A Elisseeff, T Evgeniou, M Pontil, LP Kaelbing Journal of Machine Learning Research 6 (1), 2005	233	2005
The need for a system view to regulate artificial intelligence/machine learning-based software as medical device S Gerke, B Babic, T Evgeniou, IG Cohen NPJ digital medicine 3 (1), 53, 2020	207	2020
Disjunctions of conjunctions, cognitive simplicity, and consideration sets JR Hauser, O Toubia, T Evgeniou, R Befurt, D Dzyabura Journal of Marketing Research 47 (3), 485-496, 2010	206	2010
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ... NeuroImage 183, 504-521, 2018	202	2018
Beyond conjoint analysis: Advances in preference measurement O Netzer, O Toubia, ET Bradlow, E Dahan, T Evgeniou, FM Feinberg, ... Marketing Letters 19, 337-354, 2008	195	2008
Beware explanations from AI in health care B Babic, S Gerke, T Evgeniou, IG Cohen Science 373 (6552), 284-286, 2021	181	2021
Dynamic experiments for estimating preferences: An adaptive method of eliciting time and risk parameters O Toubia, E Johnson, T Evgeniou, P Delquié Management Science 59 (3), 613-640, 2013	181	2013
Leave one out error, stability, and generalization of voting combinations of classifiers T Evgeniou, M Pontil, A Elisseeff Machine learning 55, 71-97, 2004	171	2004
A convex optimization approach to modeling consumer heterogeneity in conjoint estimation T Evgeniou, M Pontil, O Toubia Marketing Science 26 (6), 805-818, 2007	162	2007
Generalized robust conjoint estimation T Evgeniou, C Boussios, G Zacharia Marketing Science 24 (3), 415-429, 2005	155	2005
Information integration and information strategies for adaptive enterprises T Evgeniou European Management Journal 20 (5), 486-494, 2002	145	2002

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