Theodoros Evgeniou
Affiliations: | Insead, Fontainebleau, Île-de-France, France |
Area:
data mining, business intelligence, online market researchWebsite:
http://www.insead.edu/facultyresearch/faculty/profiles/tevgeniou/Google:
"Theodoros Evgeniou"Bio:
Theodoros (Theos) Evgeniou is an Associate Professor of Decision Sciences and Technology Management at INSEAD. Having won medals in international mathematical olympiads (in places like China, Sweden, Romania, etc), he received two BSc degrees, one in Computer Science and one in Mathematics, simultaneously from MIT, from where he also graduated first in the MIT class of 1995 dual degrees in Mathematics. He then received a Master and a PhD degree in Computer Science, also from MIT.
Before joining INSEAD, he has held positions in companies in Japan and in the US and has been involved in a Boston based high-tech start up. At INSEAD, Theos has been teaching courses on IT strategies, data mining, and Information Systems Management. His current research interests are in the areas of data mining and business intelligence as well as online market research.
Cross-listing: MathTree
Publications
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| Cnudde SD, Martens D, Evgeniou T, et al. (2020) A benchmarking study of classification techniques for behavioral data Journal of Data Science. 9: 131-173 |
| Ramon Y, Martens D, Provost F, et al. (2020) A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C Advanced Data Analysis and Classification |
| Samper-González J, Burgos N, Bottani S, et al. (2019) Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data Proceedings of Spie. 10949 |
| Samper-González J, Burgos N, Bottani S, et al. (2018) Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. Neuroimage |
| De Fortuny EJ, Evgeniou T, Martens D, et al. (2015) Iteratively refining SVMs using priors Proceedings - 2015 Ieee International Conference On Big Data, Ieee Big Data 2015. 46-52 |
| Hauser JR, Toubia O, Evgeniou T, et al. (2010) Disjunctions of conjunctions, cognitive simplicity, and consideration sets Journal of Marketing Research. 47: 485-496 |
| Evgeniou T, Figueiras-Vidal AR, Theodoridis S. (2008) Emerging machine learning techniques in signal processing Eurasip Journal On Advances in Signal Processing. 2008 |
| Abernethy J, Evgeniou T, Toubia O, et al. (2008) Eliciting consumer preferences using robust adaptive choice questionnaires Ieee Transactions On Knowledge and Data Engineering. 20: 145-155 |
| Netzer O, Toubia O, Bradlow ET, et al. (2008) Beyond conjoint analysis: Advances in preference measurement Marketing Letters. 19: 337-354 |
| Argyriou A, Evgeniou T, Pontil M. (2008) Convex multi-task feature learning Machine Learning. 73: 243-272 |