Keywords: Machine learning, neuroimaging,
neuroinformatics, neural network, kunstig intelligens, sociale medier
Lars Kai Hansen
Professor
Head of Section Cognitive
Systems
DTU Informatics
Richard Petersens Plads B321
Technical University of Denmark
DK-2800 Lyngby, DENMARK.
Tel: (+45) 4525 3889; FAX: (+45) 4587 2599
E-mail: lkhATimm.dtu.dk
Twitter: @Tweetteresearch
Director THOR Center for Neuroinformatics
CIMBI - Funded by the Lundbeck foundation, Brede search
engine.
PI Responsible Business in the
Blogosphere –
Affect and virality in Twitter
Member The
Danish Council for Independent Research |
Technology
and Production Sciences (FTP)
Talks 2011
ZKW Kolloquium,
Center for Cognitive Sciences, (Univ Bremen, Apr 18)
“Machine learning strategies in
fMRI” pdf
IEEE Symposium
on Computational Intelligence (Paris, April 15)
“What to do next?-on top down task
driven feature saliency” pdf
Excellence
chair talk (Univ Carlos III, Madrid, Jun 3)
“Good friends, bad news
- Affect and Virality in Twitter” pdf
Computational Neuroscience CNS2011
tutorial (KTH, Stockholm, Jul 25)
“Machine learning
strategies in fMRI” pdf
IEEE Nuclear Science Symposium,
Medical Imaging Conference (Valencia, Oct 24)
“Image classification methods” pdf
Bernstein Center for Neurotechnology
(TU Berlin, Nov 23)
“Learning from small
samples in high dimensions” pdf
Talks 2010
AI Seminar (Dept.
Computer Science UCSD, Jan 11)
“Learning latent structure in
complex networks” pdf
Dept.
Psychology (UC Santa Barbara, Jan 26)
“Machine learning strategies for
fMRI analysis” pdf
Donders
Inst. for Brain, Cognition and Behaviour (Nijmegen, May 28)
“Predictive modeling: Towards a
systems neuroscience” pdf
Keynote Bernstein Conference 2010 (TU Berlin, Sep
26)
“Machine learning strategies for
fMRI analysis” pdf
Other current
research issues:
Top-down
attention as a machine learning problem
Small samples in
high-dimensions (variance inflation)
Functional neuroimaging (with access to the
'lyngby' toolbox)
Publications: 250+ papers in journals, books, and conferences
7300+
citations in Google Scholar Publications
in DTU Orbit
Brief
biography: (Download
full CV and publication list updated Sep 2011)
LKH has a PhD
in physics (University of Copenhagen, 1986).
He worked on
industrial vision/neural nets from 1987-1990, with Andrex Radiation Products
A/S.
He has been
with the Technical University of Denmark ,
since 1990. Full professor since September, 2000.
Since 1981
married to Connie Bork - poetry in Danish
Key
publications:
T.J.
Abrahamsen, L.K. Hansen: A Cure for Variance Inflation in High Dimensional
Kernel Principal Component Analysis.
Journal of
Machine Learning Research 12:2027−2044, (2011)
D. J. Jacobsen, L. K. Hansen, K. H. Madsen: Bayesian Model
Comparison in Nonlinear
Neural
Computation 20:738-755 (2008).
R. K. Olsson
and L. K. Hansen: Linear State-Space Models for Blind Source Separation
Journal
of Machine Learning Research 7:2585—2602 (2006).
M. Moerup, L. K. Hansen, C. S. Hermann, J. Parnas, S. M.
Arnfred,
Parallel Factor
Analysis an exploratory tool for wavelet transformed event-related EEG
NeuroImage
29(3): 938-947 (2006).
M. McKeown,
L.K. Hansen, and T.J. Sejnowski:
Independent
Component Analysis for fMRI: What is Signal and What is Noise?
Current
Opinion in Neurobiology Vol.13(5) 620-629 (2003).
P.A.d.F.R.
Hojen-Sorensen, O. Winther, and L.K. Hansen.
Mean Field
Approaches for Independent Component Analysis
Neural Computation 14:889-918 (2002).
U. Kjems, L.K.
Hansen, J. Anderson, S. Frutiger, S. Muley, J. Sidtis, D. Rottenberg, and S.C.
Strother.
The
Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual
Information Learning Curves.
NeuroImage
15(4): 772-786 (2002)
S.C. Strother,
J. Anderson, L.K. Hansen, U. Kjems, R. Kustra, J. Sidtis, S. Frutiger, S.
Muley, S. LaConte, and D. Rottenberg:
The
Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework.
NeuroImage 15(4):747-771
(2002).
L.K. Hansen: Bayesian Averaging is Well-Temperated
In Proceedings
of NIPS*99, S.S.\ Solla et al. (eds.), 265-271 (2000)
N. Lange, S.C. Strother, J.R. Anderson, F.AA. Nielsen,
A.P. Holmes, T. Kolenda,
R. Savoy, L.K. Hansen: Plurality and Resemblance in
fMRI Data Analysis.
NeuroImage, 10(3): 282-303 (1999)
L.K. Hansen, J.
Larsen, F.AA.
N. Lange, J.J.
Sidtis, C. Svarer, O.B. Paulson: Generalizable
Patterns in Neuroimaging:
How Many Principal Components? NeuroImage 9: 534-544 (1999).
L.K. Hansen and P. Salamon: Neural
Network Ensembles.
IEEE Transactions on Pattern Analysis and Machine
Intelligence 12: 993-1001 (1990).
Download of preprints/papers from the publication repository.
(1994-2001 in the local repository, from 2001 in the
IMM system)
Supervisor
(PhD-student, research area, funding):
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Social informatics |
Strategic Research
Councils |
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Machine Learning |
DTU |
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Medical informatics |
Lundbeck Foundation |
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Medical signal processing |
DTU |
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Medical signal processing |
DTU |
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Machine Learning |
DTU |
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Medical signal processing |
Hvidovre Hospital |
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Machine Learning |
DTU |
Former
Phd-students:
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DTU postdoc |
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Teknologisk Institut |
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Nokia |
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Widex |
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Rasmus Elsborg Madsen |
Hyposafe
A/S (visiting IMM, DTU) |
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Hvidovre Hospital MR |
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IMM DTU |
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Hvidovre Hospital MR |
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Epital A/S |
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Rasmus K. Olsson |
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Rigshospitalet |
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Kaare Brandt Petersen |
Epital, IMM DTU |
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CFIN |
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Peter Magnus Noergaard |
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M.A.N. B&W |
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Vrije Universiteit, |
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WIDEX |
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CODEGROUP |
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OTICON |
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Bjorn Steen Larsen |
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NOKIA |
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NOKIA |
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NOKIA |
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NOKIA |
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Thorkild Find Petersen |
Bruel
& Kjaer, ATV |
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IMM |
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Oticon |
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Medical signal processing |
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NOKIA |
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Rigshospitalet |
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Datamining consultant,
SAXO Bank |
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Microsoft Research UK |
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North |
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Decision3, Thorshavn |
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ISG
Denmark |
Early work on
Independent Component Analysis (ICA)
see also the publication repository , or NEC's citeseer
Early popular talks
and press coverage (in Danish)
Return to Section for Digital Signal Processing Group
homepage.