André Elisseeff

Computer Science · Physical Sciences

23h-index6.5kcitations49works270.02yr avg
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Research Topics

Neural Networks and Applications(15), Machine Learning and Algorithms(12), Face and Expression Recognition(8), Bayesian Modeling and Causal Inference(7), Machine Learning in Bioinformatics(5)

Publications48 total

Measurements, Medications, and Symptoms Logging Using a Virtual Assistant
2019
AutoDL Challenge Design and Beta Tests-Towards automatic deep learning
SPIRE - Sciences Po Institutional REpository·2018· 6 cited
Explanation Trees for Causal Bayesian Networks
arXiv (Cornell University)·2012· 4 citedOpen Access
Causality Workbench
Oxford University Press eBooks·2011· 7 cited
Causal networks for risk and compliance: Methodology and application
IBM Journal of Research and Development·2010· 5 cited
Subagging for credit scoring models
European Journal of Operational Research·2009· 210 cited
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
2008· 19 cited
Embedded Methods
Studies in fuzziness and soft computing·2008· 200 cited
An Introduction to Feature Extraction
Studies in fuzziness and soft computing·2008· 503 cited
Explanation Trees For Causal Bayesian Networks
Zenodo (CERN European Organization for Nuclear Research)·2008· 25 citedOpen Access
Using Markov Blankets for Causal Structure Learning
Journal of Machine Learning Research·2008· 201 cited
A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables
Lecture notes in computer science·2007· 17 cited
<b>The 2005 ISMS Practice Prize Winner</b>—Customer Equity and Lifetime Management (CELM) Finnair Case Study
Marketing Science·2007· 41 cited
Guest editorial: Learning theory
Machine Learning·2007· 1 citedOpen Access
Semi-Supervised Protein Classification Using Cluster Kernels
The MIT Press eBooks·2006· 46 citedOpen Access
On Kernel Target Alignment
Studies in fuzziness and soft computing·2006· 10 cited
On Kernel Target Alignment
Studies in fuzziness and soft computing·2006· 853 cited
Stability of Randomized Learning Algorithms
2005· 94 cited
Semi-supervised protein classification using cluster kernels
Bioinformatics·2005· 204 cited
A comparative study of multi‐class support vector machines in the unifying framework of large margin classifiers
Applied Stochastic Models in Business and Industry·2005· 7 cited
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Frequent Co-authors

Jason Weston(9), Hélène Paugam‐Moisy(9), Jean‐Philippe Pellet(7), Yann Guermeur(6), Bernhard Schölkopf(5), Massimiliano Pontil(5), Dominique Zelus(5), Olivier Chapelle(4), Theodoros Evgeniou(4), Olivier Bousquet(4), Nello Cristianini(3), Jaz Kandola(3), John Shawe‐Taylor(3), Dengyong Zhou(3), William Stafford Noble(3), Yann Guermeur(3), Isabelle Guyon(2), Isabelle Guyon(2), Christina S. Leslie(2), Giuliano Tirenni(2)