Homepage - Koen Smets

About

Alumnus of the Research Group
Advanced Database Research and Modelling (ADReM)
Department of Mathematics and Computer Science
University of Antwerp (UAntwerp)

Contact

You can reach me via any of the following means:
$first.$last@gmail.com
https://ksmets.be

Publications

2012
	Koen Smets, Identifying and Characterising Anomalies in Data. Ph.D. thesis, Universiteit Antwerpen, 2012.
	Koen Smets and Jilles Vreeken, Slim: Directly Mining Descriptive Pattern. In: Proceedings of the SIAM International Conference on Data Mining (SDM'12), pp 236-247, SIAM, 2012.

2011
	Trung Vu, Dirk Valkenborg, Koen Smets, Kim Verwaest, Roger Dommisse, Filip Lemiere, Alain Verschoren, Bart Goethals and Kris Laukens., An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. In: BMC Bioinformatics, 12(1):405, 2011.
	Noor Remmerie, Thomas De Vijlder, Dirk Valkenborg, Kris Laukens, Koen Smets, Jilles Vreeken, Inge Mertens, Sebastien Carpentier, Bart Panis, Geert de Jaeger, Els Prinsen and Erwin Witters, Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods. In: Journal of Proteomics, 74(8):1201-17, Elsevier, 2011.
	Koen Smets and Jilles Vreeken, The Odd One Out: Identifying and Characterising Anomalies. In: Proceedings of the SIAM International Conference on Data Mining (SDM'11), pp 804-815, SIAM, 2011.

2009
	Koen Smets, Brigitte Verdonk and Elsa M. Jordaan, Discovering Novelty in Spatio/Temporal Data Using One-Class Support Vector Machines. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp 2956-2963, IEEE CIS, 2009.

2008
	Koen Smets, Bart Goethals and Brigitte Verdonk, Automatic Vandalism Detection in Wikipedia: Towards a Machine Learning Approach. In: Proceedings of the AAAI Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy (WikiAI), pp 43-48, AAAI Press, 2008.

2007
	Koen Smets, Brigitte Verdonk and Elsa M. Jordaan, Evaluation of Performance Measures for SVR Hyperparameter Selection. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp 637-642, IEEE CIS, 2007.

2006
	Koen Smets, Studie van kernel-gebaseerde technieken voor single-class classificatie en feature selectie op basis van optimalisatie van de kernel parameters. M.Sc. thesis, Universiteit Antwerpen, 2006.