Theodoros Evgeniou

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 18

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

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) (2024)
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)
Sofie Goethals, David Martens, Theodoros Evgeniou
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem. CoRR (2023)
Sofie Goethals, David Martens, Theodoros Evgeniou
The non-linear nature of the cost of comprehensibility. J. Big Data 9 (1) (2022)
Yanou Ramon, Tom Vermeire, Olivier Toubia, David Martens, Theodoros Evgeniou
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms. CoRR (2021)
Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen
Direct-to-consumer medical machine learning and artificial intelligence applications. Nat. Mach. Intell. 3 (4) (2021)
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 (2020)
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)
Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet
Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. CoRR (2020)
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) (2020)
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) (2020)
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)
Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou
Counterfactual Explanation Algorithms for Behavioral and Textual Data. CoRR (2019)
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 (2018)
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 (2018)
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 (2017)
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)
Enric Junqué de Fortuny, Theodoros Evgeniou, David Martens, Foster J. Provost
Iteratively refining SVMs using priors. IEEE BigData (2015)
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) (2013)
Kaifu Zhang, Theodoros Evgeniou, Vineet Padmanabhan, Emile Richard
Content Contributor Management and Network Effects in a UGC Environment. Mark. Sci. 31 (3) (2012)
Emile Richard, Andreas Argyriou, Theodoros Evgeniou, Nicolas Vayatis
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs CoRR (2012)
Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis
Link Discovery using Graph Feature Tracking. NIPS (2010)
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) (2009)
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 (2009)
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) (2008)
Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization CoRR (2008)
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
Convex multi-task feature learning. Mach. Learn. 73 (3) (2008)
Theodoros Evgeniou, Aníbal R. Figueiras-Vidal, Sergios Theodoridis
Emerging Machine Learning Techniques in Signal Processing. EURASIP J. Adv. Signal Process. 2008 (2008)
Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
Low-rank matrix factorization with attributes CoRR (2006)
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
Multi-Task Feature Learning. NIPS (2006)
Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil
Learning Multiple Tasks with Kernel Methods. J. Mach. Learn. Res. 6 (2005)
André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
Stability of Randomized Learning Algorithms. J. Mach. Learn. Res. 6 (2005)
Theodoros Evgeniou, Massimiliano Pontil
Regularized multi--task learning. KDD (2004)
Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff
Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Mach. Learn. 55 (1) (2004)
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) (2003)
Theodoros Evgeniou, Massimiliano Pontil
Support Vector Machines with Clustering for Training with Very Large Datasets. SETN (2002)
Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
A Simple Algorithm for Learning Stable Machines. ECAI (2002)
Theodoros Evgeniou, Massimiliano Pontil
Learning Preference Relations from Data. WIRN (2002)
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)
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) (2001)
Theodoros Evgeniou, Massimiliano Pontil
Support Vector Machines: Theory and Applications. Machine Learning and Its Applications (2001)
Theodoros Evgeniou, Massimiliano Pontil, Tomaso A. Poggio
Statistical Learning Theory: A Primer. Int. J. Comput. Vis. 38 (1) (2000)
Giorgos Zacharia, Theodoros Evgeniou, Pattie Maes
Dynamic pricing in a reputation-brokered agent-mediated marketplace. Intell. Syst. Account. Finance Manag. 9 (4) (2000)
Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso A. Poggio
Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML (2000)
Theodoros Evgeniou, Massimiliano Pontil
A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT (2000)
Theodoros Evgeniou, Massimiliano Pontil, Tomaso A. Poggio
Regularization Networks and Support Vector Machines. Adv. Comput. Math. 13 (1) (2000)
Theodoros Evgeniou, Massimiliano Pontil
Dimension for Regression in Reproducing Kernel Hilbert Spaces. ALT (1999)
Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou
From regression to classification in support vector machines. ESANN (1999)
Shai Avidan, Theodoros Evgeniou, Amnon Shashua, Tomaso A. Poggio
Image-based view synthesis by combining trilinear tensors and learning techniques. VRST (1997)

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Publication Activity (10 Years)

Top Topics

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Theodoros Evgeniou