Publication

Hubert, M., Reynkens, T., Schmitt, E., Verdonck, T. (2015).Sparse PCA for high-dimensional data with outliers, in press. Doi:10.1080/00401706.2015.1093962 Sparse PCA for high-dimensional data with outliers

Ahmed Mabrouk, Christophe Gonzales, Karine Jabet-Chevalier, and Eric Chojnaki, “Multivariate Cluster-based Discretization for Bayesian Network Structure Learning”, in 9th International Conference on Scalable Uncertainty Management (SUM 2015), Quebec City, Canada, September 16-18, 2015. Multivariate Cluster-based Discretization for Bayesian Network Structure Learning

Christophe Gonzales, Séverine Dubuisson, Cristina Manfredotti, “A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection”, in 28th International Florida Artificial Intelligence Research Society Conference Intelligence (FLAIRS-28), Hollywood, Florida, 18-25 May 2015 A New Algorithm for Learning Non-Stationary Dynamic Bayesian NetworksWith Application to Event Detection

News

The SCISSOR project

European flag The SCISSOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644425.
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    Assystem Engineering and operation services

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    AGH University of Science and Technology of Krakow

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    UPMC university Pierre and Marie Curie

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    SixSq Sàrl

  • Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT)

    Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT)

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    RADIO6ENSE Srl

  • Salzburg Research Forschungsgesellschaft mbH

    Salzburg Research Forschungsgesellschaft mbH

  • Katholieke Universiteit Leuven

    Katholieke Universiteit Leuven

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    SEA Società Elettrica di Favignana S.p.a.