Lars Kai Hansen

Lars Kai Hansen

Professor, Head of section

Richard Petersens Plads

Building: 321, 012

2800 Kgs. Lyngby

Denmark

Phone: 45253889Fax: 45872599

Lars Kai Hansen has MSc and PhD degrees in physics from University of Copenhagen. Since 1990 he has been with the Technical University of Denmark, where he currently heads the Section for Cognitive Systems. He has published more than 300 contributoins on machine learning, signal processing, and applications in AI and cognitive systems. His research has been generously funded by the Danish Research Councils and private foundations, the European Union, and the US National Institutes of Health. He has made seminal contributions to machine learning including the introduction of ensemble methods('90) and to functional neuroimaging including the first brain state decoding work based on PET('94) and fMRI('97). In the context of neuroimaging he has developed a suite of methods for visualizing machine learning models and quantification of uncertainty. In 2011 he was elected “Catedra de Excelencia” at UC3M Madrid, Spain.

 

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  • NeuroImage

    ISSNs: 1053-8119

    Additional searchable ISSN (Electronic): 1095-9572

    Elsevier BV, Netherlands

    BFI (2018): BFI-level 2, Scopus rating (2017): CiteScore 6.15 SJR 3.679 SNIP 1.806, Web of Science (2018): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

  • Neural Computation

    ISSNs: 0899-7667

    Additional searchable ISSN (Electronic): 1530-888X

    M I T Press, United States

    BFI (2018): BFI-level 2, Scopus rating (2017): CiteScore 1.99 SJR 0.896 SNIP 1.069, Web of Science (2018): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

  • I E E E Transactions on Medical Imaging

    ISSNs: 0278-0062

    Additional searchable ISSN (Electronic): 1558-254X

    Institute of Electrical and Electronics Engineers, United States

    BFI (2018): BFI-level 2, Scopus rating (2017): CiteScore 6.6 SJR 1.895 SNIP 2.874, Web of Science (2018): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

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