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Theodoros Evgeniou

Theodoros Evgeniou

D-Index & Metrics

Computer Science

D-Index
36
Citations
14389
World Ranking
10965
National Ranking
266

Overview

Theodoros Evgeniou is affiliated with INSEAD in France and has conducted extensive research primarily in the fields of Computer Science and Medicine. Their work prominently spans subfields such as Artificial Intelligence, Health Informatics, Economics and Econometrics, Modeling and Simulation, and Safety Research.

Their research covers numerous main topics, including:

  • Artificial Intelligence in Healthcare and Education
  • Explainable Artificial Intelligence (XAI)
  • COVID-19 epidemiological studies
  • Ethics and Social Impacts of AI
  • Adversarial Robustness in Machine Learning
  • Financial Markets and Investment Strategies
  • Machine Learning in Healthcare

Evgeniou has authored multiple research papers published in a variety of venues. Notable recent works include:

  • "The need for a system view to regulate artificial intelligence/machine learning-based software as medical device" (2020) published in npj Digital Medicine
  • "Beware explanations from AI in health care" (2021) published in Science
  • "Artificial intelligence to support the integration of variable renewable energy sources to the power system" (2021) published in Applied Energy
  • "The European artificial intelligence strategy: implications and challenges for digital health" (2020) published in The Lancet Digital Health
  • "Direct-to-consumer medical machine learning and artificial intelligence applications" (2021) published in Nature Machine Intelligence

Their frequent coauthors include Raphaël Porcher, Nicolas Vayatis, Sara Gerke, I. Glenn Cohen, and Mathilde Fekom, reflecting collaborative work across various aspects of artificial intelligence and its applications.

Theodoros Evgeniou has published mainly in these venues, reflecting a diverse dissemination of research:

  • SSRN Electronic Journal
  • npj Digital Medicine
  • Journal of Financial and Quantitative Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)

Best Publications

  • Convex multi-task feature learning

    Andreas Argyriou;Theodoros Evgeniou;Massimiliano Pontil

  • Regularized multi--task learning

    Theodoros Evgeniou;Massimiliano Pontil

  • Multi-Task Feature Learning

    Andreas Argyriou;Theodoros Evgeniou;Massimiliano Pontil

  • Regularization Networks and Support Vector Machines

    Theodoros Evgeniou;Massimiliano Pontil;Tomaso A. Poggio

  • Learning Multiple Tasks with Kernel Methods

    Theodoros Evgeniou;Charles A. Micchelli;Massimiliano Pontil

  • Support vector machines: theory and applications

    Theodoros Evgeniou;Massimiliano Pontil

  • To combine or not to combine: selecting among forecasts and their combinations

    Michèle Hibon;Theodoros Evgeniou

  • The need for a system view to regulate artificial intelligence/machine learning-based software as medical device

    Sara Gerke;Boris Babic;Theodoros Evgeniou;I. Glenn Cohen

  • A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

    Jacob Abernethy;Francis Bach;Theodoros Evgeniou;Jean-Philippe Vert

  • A TRAINABLE PEDESTRIAN DETECTION SYSTEM

    Constantine Papgeorgiou;Theodoros Evgeniou;Tomaso Poggio

  • Greedoid-Based Noncompensatory Inference

    Michael Yee;Ely Dahan;John R. Hauser;James Orlin

  • Convex Multi-Task Feature Learning

    Andreas Argyriou;Theodoros Evgeniou;Massimo Pontil

  • Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters

    Olivier Toubia;Eric Johnson;Theodoros Evgeniou;Philippe Delquié

  • Disjunctions of Conjunctions, Cognitive Simplicity and Consideration Sets

    John R . Hauser;Olivier Toubia;Theodoros Evgeniou;Rene Befurt

  • Beware explanations from AI in health care.

    Boris Babic;Boris Babic;Sara Gerke;Sara Gerke;Theodoros Evgeniou;I. Glenn Cohen

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

    Jorge Samper-González;Ninon Burgos;Simona Bottani;Sabrina Fontanella

  • Artificial intelligence to support the integration of variable renewable energy sources to the power system

    Pal Boza;Theodoros Evgeniou

  • Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers

    Theodoros Evgeniou;Massimiliano Pontil;André Elisseeff

  • A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation

    Theodoros Evgeniou;Massimiliano Pontil;Olivier Toubia

  • The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health

    I Glenn Cohen;Theodoros Evgeniou;Sara Gerke;Timo Minssen

  • Generalized robust conjoint estimation

    Theodoros Evgeniou;Constantinos Boussios;Giorgos Zacharia

  • Stability of Randomized Learning Algorithms

    Andre Elisseeff;Theodoros Evgeniou;Massimiliano Pontil

  • Information Integration and Information Strategies for Adaptive Enterprises

    Theodoros Evgeniou

  • Low-rank matrix factorization with attributes

    Jacob D. Abernethy;Francis R. Bach;Theodoros Evgeniou;Jean-Philippe Vert

Frequent Co-Authors

Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
David Martens
David Martens University of Antwerp
Foster Provost
Foster Provost New York University
Jean-Philippe Vert
Jean-Philippe Vert Google (United States)
Francis Bach
Francis Bach École Normale Supérieure
Robin M. Hogarth
Robin M. Hogarth Pompeu Fabra University
Eric Johnson
Eric Johnson Columbia University
Jay Hauser
Jay Hauser University of California, Los Angeles

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