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ORCIDTheodoros Evgeniou
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2020 – today
- 2024
[j25]Yanou Ramon
, David Martens, Theodoros Evgeniou, Stiene Praet:
Can metafeatures help improve explanations of prediction models when using behavioral and textual data? Mach. Learn. 113(7): 4245-4284 (2024)- [j24]Alan Balendran, Mehdi Benchoufi, Theodoros Evgeniou, Philippe Ravaud:
Algorithmovigilance, lessons from pharmacovigilance. npj Digit. Medicine 7(1) (2024) - 2023
- [j23]I. Glenn Cohen, Boris Babic, Sara Gerke, Qiong Xia, Theodoros Evgeniou, Klaus Wertenbroch:
How AI can learn from the law: putting humans in the loop only on appeal. npj Digit. Medicine 6 (2023) - [i9]Sofie Goethals, David Martens, Theodoros Evgeniou:
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem. CoRR abs/2306.13885 (2023) - 2022
- [j22]Sofie Goethals, David Martens, Theodoros Evgeniou:
The non-linear nature of the cost of comprehensibility. J. Big Data 9(1): 30 (2022) - 2021
- [j21]Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen:
Direct-to-consumer medical machine learning and artificial intelligence applications. Nat. Mach. Intell. 3(4): 283-287 (2021) - [i8]Yanou Ramon, Tom Vermeire, Olivier Toubia, David Martens, Theodoros Evgeniou:
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms. CoRR abs/2107.02624 (2021) - 2020
- [j20]Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou:
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C. Adv. Data Anal. Classif. 14(4): 801-819 (2020) - [j19]Sofie De Cnudde, David Martens, Theodoros Evgeniou, Foster J. Provost:
A benchmarking study of classification techniques for behavioral data. Int. J. Data Sci. Anal. 9(2): 131-173 (2020) - [j18]Olivier Boulant, Mathilde Fekom, Camille Pouchol, Theodoros Evgeniou, Anton Ovchinnikov, Raphaël Porcher, Nicolas Vayatis:
SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic. Image Process. Line 10: 150-166 (2020) - [j17]Sara Gerke, Boris Babic, Theodoros Evgeniou, I. Glenn Cohen:
The need for a system view to regulate artificial intelligence/machine learning-based software as medical device. npj Digit. Medicine 3 (2020) - [i7]Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet:
Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. CoRR abs/2003.04792 (2020)
2010 – 2019
- 2019
- [c16]Jorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot:
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. Medical Imaging: Image Processing 2019: 109490V - [i6]Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou:
Counterfactual Explanation Algorithms for Behavioral and Textual Data. CoRR abs/1912.01819 (2019) - 2018
- [j16]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage 183: 504-521 (2018) - [i5]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, Alzheimer's Disease Neuroimaging Initiative:
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR abs/1808.06452 (2018) - 2017
- [c15]Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. MLMI@MICCAI 2017: 53-60 - [i4]Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. CoRR abs/1709.07267 (2017) - 2015
- [c14]Enric Junqué de Fortuny, Theodoros Evgeniou, David Martens, Foster J. Provost:
Iteratively refining SVMs using priors. IEEE BigData 2015: 46-52 - 2013
- [j15]Olivier Toubia, Eric Johnson, Theodoros Evgeniou, Philippe Delquié:
Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters. Manag. Sci. 59(3): 613-640 (2013) - 2012
- [j14]Kaifu Zhang, Theodoros Evgeniou, Vineet Padmanabhan, Emile Richard:
Content Contributor Management and Network Effects in a UGC Environment. Mark. Sci. 31(3): 433-447 (2012) - [i3]Emile Richard, Andreas Argyriou, Theodoros Evgeniou, Nicolas Vayatis:
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs. CoRR abs/1203.5438 (2012) - 2010
- [c13]Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis:
Link Discovery using Graph Feature Tracking. NIPS 2010: 1966-1974
2000 – 2009
- 2009
- [j13]Katerina Pramatari, Theodoros Evgeniou, Georgios I. Doukidis:
Implementation of collaborative e-supply-chain initiatives: an initial challenging and final success case from grocery retailing. J. Inf. Technol. 24(3): 269-281 (2009) - [j12]Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. 10: 803-826 (2009) - 2008
- [j11]Theodoros Evgeniou, Aníbal R. Figueiras-Vidal, Sergios Theodoridis:
Emerging Machine Learning Techniques in Signal Processing. EURASIP J. Adv. Signal Process. 2008 (2008) - [j10]Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil:
Convex multi-task feature learning. Mach. Learn. 73(3): 243-272 (2008) - [j9]Jacob D. Abernethy, Theodoros Evgeniou, Olivier Toubia, Jean-Philippe Vert:
Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Trans. Knowl. Data Eng. 20(2): 145-155 (2008) - [i2]Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou:
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. CoRR abs/0802.1430 (2008) - 2006
- [c12]Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil:
Multi-Task Feature Learning. NIPS 2006: 41-48 - [i1]Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert:
Low-rank matrix factorization with attributes. CoRR abs/cs/0611124 (2006) - 2005
- [j8]André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil:
Stability of Randomized Learning Algorithms. J. Mach. Learn. Res. 6: 55-79 (2005) - [j7]Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil:
Learning Multiple Tasks with Kernel Methods. J. Mach. Learn. Res. 6: 615-637 (2005) - 2004
- [j6]Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff:
Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Mach. Learn. 55(1): 71-97 (2004) - [c11]Theodoros Evgeniou, Massimiliano Pontil:
Regularized multi--task learning. KDD 2004: 109-117 - 2003
- [j5]Theodoros Evgeniou, Massimiliano Pontil, Constantine Papageorgiou, Tomaso A. Poggio:
Image Representations and Feature Selection for Multimedia Database Search. IEEE Trans. Knowl. Data Eng. 15(4): 911-920 (2003) - 2002
- [c10]Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil:
A Simple Algorithm for Learning Stable Machines. ECAI 2002: 513-517 - [c9]Theodoros Evgeniou, Massimiliano Pontil:
Support Vector Machines with Clustering for Training with Very Large Datasets. SETN 2002: 346-354 - [c8]Theodoros Evgeniou, Massimiliano Pontil:
Learning Preference Relations from Data. WIRN 2002: 23-34 - 2001
- [j4]Giorgos Zacharia, Theodoros Evgeniou, Alexandros Moukas, Petros Boufounos, Pattie Maes:
Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace. Electron. Commer. Res. 1(1/2): 85-100 (2001) - [c7]Theodoros Evgeniou, Massimiliano Pontil:
Support Vector Machines: Theory and Applications. Machine Learning and Its Applications 2001: 249-257 - [c6]Giorgos Zacharia, Theodoros Evgeniou, Alexandros Moukas, Petros Boufounos, Pattie Maes:
Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace. E-Commerce Agents 2001: 25-38 - 2000
- [b1]Theodoros Evgeniou:
Learning with kernel machine architectures. Massachusetts Institute of Technology, Cambridge, MA, USA, 2000 - [j3]Theodoros Evgeniou, Massimiliano Pontil, Tomaso A. Poggio:
Regularization Networks and Support Vector Machines. Adv. Comput. Math. 13(1): 1-50 (2000) - [j2]Theodoros Evgeniou, Massimiliano Pontil, Tomaso A. Poggio:
Statistical Learning Theory: A Primer. Int. J. Comput. Vis. 38(1): 9-13 (2000) - [j1]Giorgos Zacharia, Theodoros Evgeniou, Pattie Maes:
Dynamic pricing in a reputation-brokered agent-mediated marketplace. Intell. Syst. Account. Finance Manag. 9(4): 271-286 (2000) - [c5]Theodoros Evgeniou, Massimiliano Pontil:
A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT 2000: 306-315 - [c4]Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso A. Poggio:
Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML 2000: 271-278
1990 – 1999
- 1999
- [c3]Theodoros Evgeniou, Massimiliano Pontil:
On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces. ALT 1999: 106-117 - [c2]Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou:
From regression to classification in support vector machines. ESANN 1999: 225-230 - 1997
- [c1]Shai Avidan, Theodoros Evgeniou, Amnon Shashua, Tomaso A. Poggio:
Image-based view synthesis by combining trilinear tensors and learning techniques. VRST 1997: 103-110
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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