Vanya Van Belle

	2011
8		Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens: Support vector methods for survival analysis: a comparison between ranking and regression approaches. Artificial Intelligence in Medicine 53(2): 107-118 (2011)
7		Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens: Improved performance on high-dimensional survival data by application of Survival-SVM. Bioinformatics 27(1): 87-94 (2011)
6		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Learning Transformation Models for Ranking and Survival Analysis. Journal of Machine Learning Research 12: 819-862 (2011)
	2010
5		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: On the use of a clinical kernel in survival analysis. ESANN 2010
	2009
4		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69
3		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. IWANN (1) 2009: 65-72
	2008
2		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94
1		Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Multi-class AUC metrics and weighted alternatives. IJCNN 2008: 1390-1396

Coauthor Index

1	Tom Bourne	[1]
2	Ben Van Calster	[1]
3	George Condous	[1]
4	Sabine Van Huffel	[1] [2] [3] [4] [5] [6] [7] [8]
5	Kristiaan Pelckmans	[2] [3] [4] [5] [6] [7] [8]
6	Johan A. K. Suykens	[2] [3] [4] [5] [6] [7] [8]
7	Dirk Timmerman	[1]

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