Lars Kai Hansen

  1. 2012
  2. Published

    Identifying modular relations in complex brain networks. / Andersen, Kasper Winther; Mørup, Morten; Siebner, Hartwig; Madsen, Kristoffer H.; Hansen, Lars Kai.

    2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 978-1-4673-1025-3 : IEEE, 2012. (Machine Learning for Signal Processing).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  3. Submitted

    Integration of top-down and bottom-up information for audio organization and retrieval. / Jensen, Bjørn Sand; Larsen, Jan (Main supervisor); Hansen, Lars Kai (Supervisor).

    Kgs. Lyngby : Technical University of Denmark, 2012. 197 p. (IMM-PhD-2012; No. 291).

    Publication: ResearchPh.D. thesis – Annual report year: 2013

  4. Published

    Modelling dense relational data. / Herlau, Tue; Mørup, Morten; Schmidt, Mikkel Nørgaard; Hansen, Lars Kai.

    2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 978-1-4673-1025-3 : IEEE, 2012. (Machine Learning for Signal Processing).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  5. Published

    Model selection for Gaussian kernel PCA denoising. / Jørgensen, Kasper Winther; Hansen, Lars Kai.

    In: I E E E Transactions on Neural Networks and Learning Systems, Vol. 23, No. 1, 2012, p. 163-168.

    Publication: Research - peer-reviewJournal article – Annual report year: 2012

  6. Published

    Model sparsity and brain pattern interpretation of classification models in neuroimaging. / Rasmussen, Peter Mondrup; Madsen, Kristoffer Hougaard; Churchill, Nathan W; Hansen, Lars Kai; Strother, Stephen C.

    In: Pattern Recognition, Vol. 45, No. 6, 2012, p. 2085-2100.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  7. Published
  8. Published

    On an emotional node: modeling sentiment in graphs of action verbs. / Petersen, Michael Kai; Hansen, Lars Kai.

    2012 International Conference on Audio, Language and Image Processing (ICALIP). 2012.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  9. Published

    Probabilistic M/EEG source imaging from sparse spatio-temporal event structure. / Stahlhut, Carsten; Attias, Hagai T.; Wipf, David; Hansen, Lars Kai; Nagarajan, Srikantan S.

    2012. Paper presented at 2nd NIPS Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI 2012), Lake Tahoe, Nevada, United States.

    Publication: Research - peer-reviewPaper – Annual report year: 2012

  10. Published

    Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions. Springer, 2012. p. 256-263 (Lecture Notes in Computer Science, Vol. 7263).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  11. Published

    Structured Sparsity Regularization Approach to the EEG Inverse Problem. / Montoya-Martinez, Jair; Artes-Rodriguez, Antonio; Hansen, Lars Kai; Pontil, Massimiliano.

    2012 3rd International Workshop on Cognitive Information Processing (CIP). IEEE, 2012.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

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