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;
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 2012
Keynote 10th international workshop on Adaptive
Multimedia Retrieval (Royal School of Library, Oct 24, 2012). pdf
“The
Cognitive Components of Digital Media” pdf
BBCI Summer
School (TU Berlin, Sep 21)
“Resampling
based methods for design and evaluation of neurotechnology” Web site w. slides
Keynote 9th
Sound and Music Computing Conference (Aalborg Univ., Jul 14)
“The Cognitive Components of Audio
Spaces” pdf
Workshop on
Neural Data Analysis (Radboud University Nijmegen,
Jul 6)
“Sparse non-linear denoising of fMRI data” pdf
SICSA Summer
School (Glasgow Univ., Jun 13)
“Personal State Decoding” Link (pdf’s, code)
Keynote 3rd
Workshop on Cognitive Information Processing CIP 2012 (Spain, May 30)
“Attention as a machine learning
problem” pdf
Institutionen för Psykologi Seminar
(Lund Univ., Mar 30)
“Cognitive
representations: What can we learn from machine learning?” pdf
MTV Tech Talk
(Google, Jan 27)
“Good Friends, Bad News - Affect and
Virality in Twitter” pdf
UCSD AI seminar
(UCSD, Jan 23)
“Learning from small samples in high
dimensions” pdf
INC Chalk Talk,
Institute for Neural Computation (UCSD, Jan 19)
“Sparse non-linear denoising of fMRI data” 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: 270+ papers in journals, books, and conferences
Citations
in Google Scholar Publications
in DTU Orbit
Google
Scholar profile (H=41, 8600 citations)
Brief biography: 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.
With the Technical University of Denmark since 1990, full professor 2000. (Download full CV
and publication list updated Sep 2011).
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):
|
Audio
informatics |
||
|
Advertising informatics |
||
|
Machine Learning |
DTU |
|
|
Medical signal processing |
DTU |
|
|
Machine Learning |
DTU |
|
|
Medical signal processing |
||
|
Machine Learning |
DTU |
Former Phd-students:
|
Aarhus University |
|
|
DTU postdoc |
|
|
Teknologisk Institut |
|
|
Rigshospitalet,
Copenhagen |
|
|
Widex |
|
|
Rasmus Elsborg Madsen |
Hyposafe A/S |
|
Hvidovre Hospital MR |
|
|
IMM DTU |
|
|
Hvidovre Hospital MR |
|
|
Rambøll |
|
|
Rasmus K. Olsson |
|
|
Rigshospitalet |
|
|
|
|
|
Kaare Brandt Petersen |
SAS |
|
CFIN |
|
|
|
|
|
Peter Magnus Noergaard |
|
|
M.A.N. B&W |
|
|
Vrije Universiteit, |
|
|
WIDEX |
|
|
CODEGROUP |
|
|
|
|
|
OTICON |
|
|
Bjorn Steen Larsen |
|
|
NOKIA |
|
|
NOKIA |
|
|
|
|
|
|
|
|
|
|
|
NOKIA |
|
|
NOKIA |
|
|
Thorkild Find Petersen |
Bruel
& Kjaer, ATV |
|
IMM |
|
|
Oticon |
|
|
Medical signal processing |
|
|
NOKIA |
|
|
Rigshospitalet |
|
|
Datamining, SAXO Bank |
|
|
Microsoft Research UK |
|
|
North |
|
|
Decision3, Thorshavn |
|
|
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 Cognitive Systems homepage.