Toke Jansen Hansen

Toke Jansen Hansen

(Former)

My PhD project entitled "Large Scale Machine Learning in High Dimensional Datasets", is supervised by Professor Lars Kai Hansen, IMM, DTU. 

My research interests include machine learning in general, e.g., bayesian statistics, kernel methods and spectral clustering, as well as general signal processing. I'm an implementation specialist with a background in computer science, mastering both functional and imperative languages, especially enjoying concurrent and distributed paradigms, including GPU computing. 

Finally, from an application point of view, I apply all of these methodologies in the context of real-time fMRI to improve the understanding of the human mind.

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  • Journal of Machine Learning Research

    ISSNs: 1533-7928, 1532-4435

    Additional searchable ISSN (Electronic): 1533-7928, 1532-4435

    M I T Press, United States

    BFI (2017): BFI-level 2, Scopus rating (2015): SJR 1.648 SNIP 1.824, ISI indexed (2013): ISI indexed no

    Central database

    Journal

  • Pattern Recognition Letters

    ISSNs: 0167-8655

    Additional searchable ISSN (Electronic): 1872-7344

    Elsevier BV * North-Holland, Netherlands

    BFI (2017): BFI-level 2, Scopus rating (2015): SJR 1.225 SNIP 2.155, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

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ID: 2140748