Leuven Statistical Day 2010
K.U.Leuven, May 28, 2010
| About | Date&Location | Speakers | Programme | Registration | Sponsors |
|---|
A large variety of applied and theoretical statistical research is performed at the K.U. Leuven. The aim of the annual Leuven Statistical Day is to highlight this research, not only to our colleagues but to a wide audience, and to stimulate future collaborations and foster cross-fertilizations.
This year we focus on the particular theme Statistical approaches to signal/image analysis and decision support.
Leuven Statistical Day (LSD) is supported by LStat (Leuven Statistics Research Centre). This year the local organizers are Sabine Van Huffel and Ben Van Calster.
Date & Location
Leuven Statistical Day 2010
Friday, May 28, 2010
Location:
Thermotechnisch Instituut
Kasteelpark Arenberg 41
3001 HEVERLEE
Aula Van de Tweede Hoofdwet (TI 01.0002)
How to reach the location: 
map
Public parking is available in the vicinity of the congres location.
Speakers
Prof. Paulo Lisboa , from Liverpool John Moores University, will give two keynote lectures.
His research focuses on pattern recognition methods for decision support and exploratory data analysis to medicine, business and engineering, on survival modelling following tumour excision, and on brain tumour grading.
He is professor in Industrial
Mathematics and also Head of the Graduate School. He has a cross-section of over 120 peer-reviewed reports and papers
published, as well as 4 books edited on computational intelligence for
biomedical engineering and business applications.
Programme
| Time | Speaker | Title | Abstract | |
|---|---|---|---|---|
| 8.30 - 9.00 | Registration and coffee | |||
| 9.00 - 9.15 | Opening of the meeting | Mark Waer, rector K.U.Leuven | ||
| 9.15 - 10.00 | Keynote lecture | Paulo Lisboa | Generic non-linear models of prognostic outcome | File |
| 10.00 - 10.30 | Vanya Van Belle | Survival SVM significantly improves performance on high dimensional survival data. | File | |
| 10.30 - 11.00 | Coffee break | |||
| 11.00 - 11.30 | Geert Molenberghs | A Model Family for Hierarchical Data With Combined Normal and Conjugate Random Effects. | File | |
| 11.30 - 12.00 | Jan Luts | Statistical machine learning approach to multimodal magnetic resonance data processing for clinical decision support in brain tumor diagnostics. | File | |
| 12.00 - 12.30 | Ernst van Waning | Decision Support Optimization through Predictive Analytics. | File | |
| 12.30 - 14.00 | Lunch/Poster session | |||
| 14.00 - 14.45 | Keynote lecture | Paulo Lisboa | Robust methodologies for partition clustering | File |
| 14.45 - 15.15 | Leen Slaets | Functional Clustering based on Multiresolution Warping | File | |
| 15.15 - 15.45 | Coffee break | |||
| 15.45 - 16.15 | Dirk Loeckx | Automated Medical Image Registration using Global and Conditional Mutual Information. | File | |
| 16.15 - 16.45 | Annemie Ribbens | Unified Framework for Automatic Segmentation, Probabilistic Atlas Construction, Registration and Clustering of Brain MR Images. |
File | |
| 16.45 - 17.00 | Geert Molenberghs | A new start for LeuvenStat | ||
| 17.00 | Reception |
Poster presentations:
A Comparison of Segmentation Methods for Choice-Based Conjoint Analysis: A Simulation Study. M. Crabbe
Residual analysis of quantification of Magnetic Resonance Spectroscopy signals.
M.I Osorio-Garcia, D.M Sima, F.U Nielsen, U. Himmelreich, S. Van Huffel
Tensor Decompositions and Factor Analysis.L. De Lathauwer
The Use and development of Datamining techniques at LIRIS. K. DeJaeger
Statistical approach to assign functional regulators in Gene expression compendia. Forcheh Chiara Anyiawung, G. Verbeke, D. Valkenborg, K. Marchal, K. Engelen, Hui Zhao
Regularization of ill-posed errors-in-variables linear models by Bayesian model averaging. D. M. Sima, J.-E. Geay, S. Van Huffel
Non-Negative Matrix Factorization for tumor tissue typing based on HR-MAS spectroscopy. Anca Croitor Sava, B. Celda, D. Sima and S.Van Huffel
Landmark-based PCA Models for Expression-invariant 3D Face Recognition. Dirk Smeets, Thomas Fabry, Dirk Vandermeulen, and Paul Suetens
Statistical 3D Kernel Correlation Features for Face Recognition.
Thomas Fabry, Dirk Smeets, Dirk Vandermeulen and Paul Suetens
Automated Cephalometric Landmark Identification using
Local Shape and Appearance Models. Johannes Keustermans,Wouter Mollemans, Dirk Vandermeulen, and Paul Suetens
All oral presentations of the Leuven Statistical Day 2009 can be found here.
Registration
LSD 2010 is free thanks to our sponsors.
Registration is not possible anymore.
Sponsors
LStat would like to thank the sponsors to make this Leuven Statistical Day a successful event. Click on the logo to connect to the website of the respective sponsor.
The Adolphe Quetelet Society
