Theodoros Evgeniou

58 papers A* 3A 1B 5Journal 39Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Definition and Detection of Cherry-Picking in Counterfactual Explanations. CoRR James Hinns, Sofie Goethals, Stephan Van der Veeken, Theodoros Evgeniou, David Martens
2025	J	`jnl`	A scoping review of robustness concepts for machine learning in healthcare. npj Digit. Medicine Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher
2025	J	`jnl`	Beware of "Explanations" of AI. CoRR David Martens, Galit Shmueli, Theodoros Evgeniou, Kevin Bauer, Christian Janiesch, Stefan Feuerriegel, Sebastian Gabel, Sofie Goethals, Travis Greene, Nadja Klein, Mathias Kraus, Niklas Kühl, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster J. Provost
2025	A*	`conf`	Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey. EMNLP Katerina Korre, Dimitris Tsirmpas, Nikos Gkoumas, Emma Cabalé, Danai Myrtzani, Theodoros Evgeniou, Ion Androutsopoulos, John Pavlopoulos
2025	J	`jnl`	Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey. CoRR Katerina Korre, Dimitris Tsirmpas, Nikos Gkoumas, Emma Cabalé, Dionysis Kontarinis, Danai Myrtzani, Theodoros Evgeniou, Ion Androutsopoulos, John Pavlopoulos
2025	J	`jnl`	Tell me a story! Narrative-driven XAI with Large Language Models. Decis. Support Syst. David Martens, James Hinns, Camille Dams, Mark Vergouwen, Theodoros Evgeniou
2024	J	`jnl`	Algorithmovigilance, lessons from pharmacovigilance. npj Digit. Medicine Alan Balendran, Mehdi Benchoufi, Theodoros Evgeniou, Philippe Ravaud
2024	J	`jnl`	Can metafeatures help improve explanations of prediction models when using behavioral and textual data? Mach. Learn. Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet
2023	J	`jnl`	How AI can learn from the law: putting humans in the loop only on appeal. npj Digit. Medicine I. Glenn Cohen, Boris Babic, Sara Gerke, Qiong Xia, Theodoros Evgeniou, Klaus Wertenbroch
2023	—	`conf`	Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem. PKDD/ECML Workshops (3) Sofie Goethals, David Martens, Theodoros Evgeniou
2023	J	`jnl`	Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem. CoRR Sofie Goethals, David Martens, Theodoros Evgeniou
2022	J	`jnl`	The non-linear nature of the cost of comprehensibility. J. Big Data Sofie Goethals, David Martens, Theodoros Evgeniou
2021	J	`jnl`	Direct-to-consumer medical machine learning and artificial intelligence applications. Nat. Mach. Intell. Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen
2021	J	`jnl`	Understanding Consumer Preferences for Explanations Generated by XAI Algorithms. CoRR Yanou Ramon, Tom Vermeire, Olivier Toubia, David Martens, Theodoros Evgeniou
2020	J	`jnl`	A benchmarking study of classification techniques for behavioral data. Int. J. Data Sci. Anal. Sofie De Cnudde, David Martens, Theodoros Evgeniou, Foster J. Provost
2020	J	`jnl`	A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C. Adv. Data Anal. Classif. Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou
2020	J	`jnl`	Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. CoRR Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet
2020	J	`jnl`	SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic. Image Process. Line Olivier Boulant, Mathilde Fekom, Camille Pouchol, Theodoros Evgeniou, Anton Ovchinnikov, Raphaël Porcher, Nicolas Vayatis
2020	J	`jnl`	The need for a system view to regulate artificial intelligence/machine learning-based software as medical device. npj Digit. Medicine Sara Gerke, Boris Babic, Theodoros Evgeniou, I. Glenn Cohen
2019	J	`jnl`	Counterfactual Explanation Algorithms for Behavioral and Textual Data. CoRR Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou
2019	B	`conf`	Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. Image Processing Jorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage 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
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR 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
2017	J	`jnl`	Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. CoRR Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2017	—	`conf`	Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. MLMI@MICCAI Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2015	—	`conf`	Iteratively refining SVMs using priors. IEEE BigData Enric Junqué de Fortuny, Theodoros Evgeniou, David Martens, Foster J. Provost
2013	J	`jnl`	Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters. Manag. Sci. Olivier Toubia, Eric Johnson, Theodoros Evgeniou, Philippe Delquié
2012	J	`jnl`	A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs CoRR Emile Richard, Andreas Argyriou, Theodoros Evgeniou, Nicolas Vayatis
2012	J	`jnl`	Content Contributor Management and Network Effects in a UGC Environment. Mark. Sci. Kaifu Zhang, Theodoros Evgeniou, Vineet Padmanabhan, Emile Richard
2010	—	`conf`	Link Discovery using Graph Feature Tracking. NIPS Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis
2009	J	`jnl`	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
2009	J	`jnl`	Implementation of collaborative e-supply-chain initiatives: an initial challenging and final success case from grocery retailing. J. Inf. Technol. Katerina Pramatari, Theodoros Evgeniou, Georgios I. Doukidis
2008	J	`jnl`	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization CoRR Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou
2008	J	`jnl`	Convex multi-task feature learning. Mach. Learn. Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
2008	J	`jnl`	Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Trans. Knowl. Data Eng. Jacob D. Abernethy, Theodoros Evgeniou, Olivier Toubia, Jean-Philippe Vert
2008	J	`jnl`	Emerging Machine Learning Techniques in Signal Processing. EURASIP J. Adv. Signal Process. Theodoros Evgeniou, Aníbal R. Figueiras-Vidal, Sergios Theodoridis
2006	J	`jnl`	Low-rank matrix factorization with attributes CoRR Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
2006	—	`conf`	Multi-Task Feature Learning. NIPS Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
2005	J	`jnl`	Learning Multiple Tasks with Kernel Methods. J. Mach. Learn. Res. Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil
2005	J	`jnl`	Stability of Randomized Learning Algorithms. J. Mach. Learn. Res. André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
2004	J	`jnl`	Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Mach. Learn. Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff
2004	A*	`conf`	Regularized multi--task learning. KDD Theodoros Evgeniou, Massimiliano Pontil
2003	J	`jnl`	Image Representations and Feature Selection for Multimedia Database Search. IEEE Trans. Knowl. Data Eng. Theodoros Evgeniou, Massimiliano Pontil, Constantine Papageorgiou, Tomaso A. Poggio
2002	A	`conf`	A Simple Algorithm for Learning Stable Machines. ECAI Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
2002	—	`conf`	Learning Preference Relations from Data. WIRN Theodoros Evgeniou, Massimiliano Pontil
2002	—	`conf`	Support Vector Machines with Clustering for Training with Very Large Datasets. SETN Theodoros Evgeniou, Massimiliano Pontil
2001	—	`conf`	Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace. E-Commerce Agents Giorgos Zacharia, Theodoros Evgeniou, Alexandros Moukas, Petros Boufounos, Pattie Maes
2001	J	`jnl`	Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace. Electron. Commer. Res. Giorgos Zacharia, Theodoros Evgeniou, Alexandros Moukas, Petros Boufounos, Pattie Maes
2001	—	`conf`	Support Vector Machines: Theory and Applications. Machine Learning and Its Applications Theodoros Evgeniou, Massimiliano Pontil
2000	B	`conf`	A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT Theodoros Evgeniou, Massimiliano Pontil
2000	A*	`conf`	Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso A. Poggio
2000	J	`jnl`	Dynamic pricing in a reputation-brokered agent-mediated marketplace. Intell. Syst. Account. Finance Manag. Giorgos Zacharia, Theodoros Evgeniou, Pattie Maes
2000	—	`—`	Learning with kernel machine architectures. Theodoros Evgeniou
2000	J	`jnl`	Regularization Networks and Support Vector Machines. Adv. Comput. Math. Theodoros Evgeniou, Massimiliano Pontil, Tomaso A. Poggio
2000	J	`jnl`	Statistical Learning Theory: A Primer. Int. J. Comput. Vis. Theodoros Evgeniou, Massimiliano Pontil, Tomaso A. Poggio
1999	B	`conf`	From regression to classification in support vector machines. ESANN Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou
1999	B	`conf`	On the V ALT Theodoros Evgeniou, Massimiliano Pontil
1997	B	`conf`	Image-based view synthesis by combining trilinear tensors and learning techniques. VRST Shai Avidan, Theodoros Evgeniou, Amnon Shashua, Tomaso A. Poggio