| Regularized multi--task learning T Evgeniou, M Pontil Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 1958 | 2004 |
| Multi-task feature learning A Argyriou, T Evgeniou, M Pontil Advances in neural information processing systems 19, 2006 | 1855 | 2006 |
| Convex multi-task feature learning A Argyriou, T Evgeniou, M Pontil Machine Learning 73 (3), 243-272, 2008 | 1787 | 2008 |
| Regularization networks and support vector machines T Evgeniou, M Pontil, T Poggio Advances in computational mathematics 13 (1), 1-50, 2000 | 1662 | 2000 |
| Learning multiple tasks with kernel methods. T Evgeniou, CA Micchelli, M Pontil, J Shawe-Taylor Journal of machine learning research 6 (4), 2005 | 1107 | 2005 |
| Support vector machines: Theory and applications T Evgeniou, M Pontil Advanced course on artificial intelligence, 249-257, 1999 | 630 | 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 | 441 | 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 | 310 | 2009 |
| A trainable pedestrian detection system C Papageorgiou, T Evgeniou, T Poggio Proc. of Intelligent Vehicles, 241-246, 1998 | 292 | 1998 |
| Stability of Randomized Learning Algorithms. A Elisseeff, T Evgeniou, M Pontil, LP Kaelbing Journal of Machine Learning Research 6 (1), 2005 | 220 | 2005 |
| 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 | 205 | 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 | 194 | 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 | 194 | 2008 |
| 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 | 189 | 2020 |
| 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 | 179 | 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 | 170 | 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 |
| Beware explanations from AI in health care B Babic, S Gerke, T Evgeniou, IG Cohen Science 373 (6552), 284-286, 2021 | 159 | 2021 |
| 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 |
Massimiliano PontilIstituto Italiano di Tecnologia & University College Londoniit.it의 이메일 확인됨
