Publications

Machine Learning Publications

2011

1. Helleputte T., Stable Feature Selection in Empty Spaces: Applications to Gene Profiling and Diagnosis from DNA Microarrays. LAP Lambert Academic Publishing, 06 May 2011, ISBN 978-3-8443-9014-8.
   Buy: Book
   Download: Figures

2010

1. Helleputte T., Inductive Biases for Stable Feature Selection in High Dimensional Spaces: Applications to Gene Profiling and Diagnosis from DNA Microarrays. PhD Thesis, University of Louvain, September 2010.
   Download: Thesis (Print Version) | Thesis (Screen Version + Hyperlinks) | Slides | Talk Video
2. Hernandez-Lobato, D., Hernandez-Lobato, J., Helleputte, T. and Dupont, P., Expectation Propagation for Bayesian Multi-task Feature Selection, European Conference on Machine Learning (ECML), Barcelona, Spain, September, 2010.
   Download: Paper
3. Abeel T., Helleputte T., Van de Peer Y. and Saeys Y., Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics Advance Access published on February 1, 2010. Bioinformatics, Volume 26, No. 3, pp. 392-398.
   Download: Paper | Supplementary Material

2009

1. Helleputte T. and Dupont P., Feature Selection by Transfer Learning with Linear Regularized Models, European Conference on Machine Learning (ECML), Bled, Slovenia, September 7-11, 2009.
   Download: Paper | Poster | Slides| Talk Video:
2. Abeel T., Helleputte T., Van de Peer Y., Dupont P., and Saeys Y., Robust biomarker identification for cancer diagnosis using ensemble feature selection methods, Third International Workshop on Machine Learning in Systems Biology (MLSB), pp. 135, Ljubljana, Slovenia, September 5-6, 2009.
   Download: Abstract | Poster
3. Helleputte T. and Dupont P., Biomarker Selection by Transfer Learning with Linear Regularized Models, Third International Workshop on Machine Learning in Systems Biology (MLSB), pp. 159-160, Ljubljana, Slovenia, September 5-6, 2009.
   Download: Abstract | Poster
4. Helleputte T. and Dupont P., Partially Supervised Feature Selection with Regularized Linear Models, 26th International Conference on Machine Learning (ICML), Montreal, Canada, June 14-18, 2009.
   Download: Paper | Poster | Slides| Talk video:

2008

1. Louahed J., Gaulis S., Helleputte T., Dupont P., Gruselle O., Spatz A., Kruit Wim H J, Dreno B, Lehmann F, Brichard V, Clinical response to the MAGE-3 immunotherapeutic in metastatic melanoma patients is associated with a specific gene profile present prior to treatment, In: 33th European Society for Medical Oncology (ESMO) Congress, Stockholm, Sweden, September 12-16, 2008, 470129.
   Download: Abstract
2. Helleputte T., Dupont P., Feature Selection and Classification of Microarray Data: Semi-Supervised Feature Selection Improves Stability. In: CIL Third Contact Day (ECML’08), Antwerp, Belgium, September 19, 2008.
   Download: Poster

2007

1. Helleputte T., Dupont P., A Comparative Study of Normalization and Feature Selection Techniques for Breast Cancer Prognosis from Gene Expression. In: Benelux Bioinformatics Conference (BBC), KUL, Leuven, Belgium, November 12-13, 2007.
   Download: Poster
2. Helleputte T., Microarray data classification for medical prognosis: Influence of sample vs feature normalization. In: CIL Second Contact Day, KUL, Leuven, Belgium, August 29, 2007.
   Download: Poster
3. Helleputte T., Microarray data classification for medical prognosis. In: Fifth International Summer School of Pattern Recognition, Plymouth, UK, July 2007.
   Download: Poster

Software

1. Helleputte T., LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library, R package, 2010. Liblinear 1.80-4 released 23 April 2011.
   Download: LiblineaR page on the R portal.

Patents

1. Inventors: Dupont P., Gaulis S. and Helleputte T.
   Applicants: GlaxoSmithKline Biologicals S.A., Dupont P., Gaulis S. and Helleputte T.
   Patent Nb: WO/2010/029174
   Title: Method for classifying a cancer patient as responder or non-responder to immunotherapy.
   Pub. Date: 18 March 2010.

Publications not related to Machine Learning:

2012

1. Helleputte T., Strategic Overview of Personalised Medicine. International Pharmaceutical Industry, Volume 4, No. 2, 2012. (To Appear)

2009

1. Helleputte T., Maroye P., Le Jour et la Nuit – Idées reçues sur le folklore néo-louvaniste. ASBO Editor, 36 pages, September 2009.
   Download: Book

My Publications on Google Scholar.