Theodoros Evgeniou

According to our database1, Theodoros Evgeniou authored at least 38 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage, 2018

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data.
CoRR, 2018

2017
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease.
CoRR, 2017

Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2015
Iteratively refining SVMs using priors.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2013
Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters.
Management Science, 2013

2012
Content Contributor Management and Network Effects in a UGC Environment.
Marketing Science, 2012

A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs
CoRR, 2012

2010
Link Discovery using Graph Feature Tracking.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization.
J. Mach. Learn. Res., 2009

Implementation of collaborative e-supply-chain initiatives: an initial challenging and final success case from grocery retailing.
JIT, 2009

2008
Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires.
IEEE Trans. Knowl. Data Eng., 2008

Convex multi-task feature learning.
Machine Learning, 2008

Emerging Machine Learning Techniques in Signal Processing.
EURASIP J. Adv. Sig. Proc., 2008

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
CoRR, 2008

2006
Low-rank matrix factorization with attributes
CoRR, 2006

Multi-Task Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Learning Multiple Tasks with Kernel Methods.
J. Mach. Learn. Res., 2005

Stability of Randomized Learning Algorithms.
J. Mach. Learn. Res., 2005

2004
Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.
Machine Learning, 2004

Regularized multi--task learning.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Image Representations and Feature Selection for Multimedia Database Search.
IEEE Trans. Knowl. Data Eng., 2003

2002
Learning Preference Relations from Data.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

Support Vector Machines with Clustering for Training with Very Large Datasets.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

A Simple Algorithm for Learning Stable Machines.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002

2001
Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace.
Electronic Commerce Research, 2001

Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace.
Proceedings of the E-Commerce Agents, 2001

Support Vector Machines: Theory and Applications.
Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000
Learning with kernel machine architectures.
PhD thesis, 2000

Dynamic pricing in a reputation-brokered agent-mediated marketplace.
Int. Syst. in Accounting, Finance and Management, 2000

Statistical Learning Theory: A Primer.
International Journal of Computer Vision, 2000

Regularization Networks and Support Vector Machines.
Adv. Comput. Math., 2000

Bounds on the Generalization Performance of Kernel Machine Ensembles.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

A Note on the Generalization Performance of Kernel Classifiers with Margin.
Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999
From regression to classification in support vector machines.
Proceedings of the ESANN 1999, 1999

On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces.
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1997
Image-based view synthesis by combining trilinear tensors and learning techniques.
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 1997


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