Sabine Van Huffel

	2009
44		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69
43		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
42		Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman: Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128
41		Horacio González-Vélez, Mariola Mier, Margarida Julià-Sapé, Theodoros N. Arvanitis, Juan Miguel García-Gómez, Montserrat Robles, Paul H. Lewis, Srinandan Dasmahapatra, David Dupplaw, Andrew Peet, Carles Arús, Bernardo Celda, Sabine Van Huffel, Magí Lluch i Ariet: HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis. Appl. Intell. 30(3): 191-202 (2009)
40		Pierre-Antoine Absil, M. Ishteva, Lieven De Lathauwer, Sabine Van Huffel: A Geometric Newton Method for Oja's Vector Field. Neural Computation 21(5): 1415-1433 (2009)
	2008
39		Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous: Towards a Clinical Decision Support System for Pregnancies of Unknown Location. CBMS 2008: 581-583
38		Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel: Multi-class classification of ovarian tumors. ESANN 2008: 65-70
37		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94
36		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
35		Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel: Algorithm for imposing SOBI-type constraints on the CP model. ISCAS 2008: 1344-1347
34		Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel: Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Computing and Applications 17(5-6): 489-500 (2008)
	2007
33		Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel: Imposing Independence Constraints in the CP Model. ICA 2007: 33-40
32		Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) 2007: 139-148
31		M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman: Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) 2007: 1177-1186
30		Juan Miguel García-Gómez, Salvador Tortajada, Javier Vicente, Carlos Sáez, Xavier Castells, Jan Luts, Margarida Julià-Sapé, Alfons Juan-Císcar, Sabine Van Huffel, Anna Barcelo, Joaquín Ariño, Carles Arús, Montserrat Robles: Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. IWANN 2007: 1012-1019
29		Juan Miguel García-Gómez, Montserrat Robles, Sabine Van Huffel, Alfons Juan-Císcar: Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data. IbPRIA (2) 2007: 266-273
28		Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sabine Van Huffel: A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. Artificial Intelligence in Medicine 40(2): 87-102 (2007)
27		Sabine Van Huffel, Chi-Lun Cheng, Nicola Mastronardi, Chris Paige, Alexander Kukush: Total Least Squares and Errors-in-variables Modeling. Computational Statistics & Data Analysis 52(2): 1076-1079 (2007)
26		Diana M. Sima, Sabine Van Huffel: Level choice in truncated total least squares. Computational Statistics & Data Analysis 52(2): 1103-1118 (2007)
25		Alexander Kukush, Ivan Markovsky, Sabine Van Huffel: Estimation in a linear multivariate measurement error model with a change point in the data. Computational Statistics & Data Analysis 52(2): 1167-1182 (2007)
24		B. De Neuter, Jan Luts, Leentje Vanhamme, Philippe Lemmerling, Sabine Van Huffel: Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals. Computer Methods and Programs in Biomedicine 85(2): 129-137 (2007)
23		Chuan Lu, Andy Devos, Johan A. K. Suykens, Carles Arús, Sabine Van Huffel: Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis. IEEE Transactions on Information Technology in Biomedicine 11(3): 338-347 (2007)
22		Sabine Van Huffel, Ivan Markovsky, Richard J. Vaccaro, Torsten Söderström: Total least squares and errors-in-variables modeling. Signal Processing 87(10): 2281-2282 (2007)
21		Ivan Markovsky, Sabine Van Huffel: Overview of total least-squares methods. Signal Processing 87(10): 2283-2302 (2007)
	2006
20		Carles Arús, Bernardo Celda, Srinandan Dasmahapatra, David Dupplaw, Horacio González-Vélez, Sabine Van Huffel, Paul H. Lewis, Magí Lluch i Ariet, Mariola Mier, Andrew Peet, Montserrat Robles: On the Design of a Web-Based Decision Support System for Brain Tumour Diagnosis Using Distributed Agents. IAT Workshops 2006: 208-211
19		Ivan Markovsky, Maria Luisa Rastello, Amedeo Premoli, Alexander Kukush, Sabine Van Huffel: The element-wise weighted total least-squares problem. Computational Statistics & Data Analysis 50(1): 181-209 (2006)
18		Diana M. Sima, Sabine Van Huffel: A class of template splines. Computational Statistics & Data Analysis 50(12): 3486-3499 (2006)
17		Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel: Common pole estimation in multi-channel exponential data modeling. Signal Processing 86(4): 846-858 (2006)
16		M. Schuermans, Philippe Lemmerling, Lieven De Lathauwer, Sabine Van Huffel: The use of total least squares data fitting in the shape-from-moments problem. Signal Processing 86(5): 1109-1115 (2006)
	2005
15		Ivan Markovsky, Sabine Van Huffel: On Weighted Structured Total Least Squares. LSSC 2005: 695-702
14		Kris Hermus, Werner Verhelst, Philippe Lemmerling, Patrick Wambacq, Sabine Van Huffel: Perceptual audio modeling with exponentially damped sinusoids. Signal Processing 85(1): 163-176 (2005)
	2004
13		Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, F. A. Howe, Carles Majós, A. Moreno-Torres, M. Van Der Graaf, Anne Rosemary Tate, Carles Arús, Sabine Van Huffel: Brain tumor classification based on long echo proton MRS signals. Artificial Intelligence in Medicine 31(1): 73-89 (2004)
12		Alexander Kukush, Ivan Markovsky, Sabine Van Huffel: Consistent estimation in an implicit quadratic measurement error model. Computational Statistics & Data Analysis 47(1): 123-147 (2004)
	2003
11		Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote: Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228
10		Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman: Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artificial Intelligence in Medicine 28(3): 281-306 (2003)
9		Geert Morren, Philippe Lemmerling, Sabine Van Huffel: Decimative subspace-based parameter estimation techniques. Signal Processing 83(5): 1025-1033 (2003)
	2002
8		Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús: The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals. ESANN 2002: 131-136
7		Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger: Prediction of mental development of preterm newborns at birth time using LS-SVM. ESANN 2002: 167-172
6		Alexander Kukush, Ivan Markovsky, Sabine Van Huffel: Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis. Computational Statistics & Data Analysis 41(1): 3-18 (2002)
	2001
5		Philippe Lemmerling, Leentje Vanhamme, Sabine Van Huffel, Bart De Moor: IQML-like algorithms for solving structured total least squares problems: a unified view. Signal Processing 81(9): 1935-1945 (2001)
	2000
4		Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote: Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108
3		Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione: The GeTLS EXIN Neuron for Linear Regression. IJCNN (6) 2000: 285-289
2		Nicola Mastronardi, Paul Van Dooren, Sabine Van Huffel: On the Stability of the Generalized Schur Algorithm. NAA 2000: 560-567
	1994
1		Sabine Van Huffel, Haesun Park: Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. Parallel Computing 20(8): 1107-1128 (1994)

Coauthor Index

1	Pierre-Antoine Absil	[40]
2	Lieveke Ameye	[7]
3	Peter Antal	[4]
4	Magí Lluch i Ariet	[20] [41]
5	Joaquín Ariño	[30]
6	Carles Arús	[8] [13] [20] [23] [30] [41]
7	Theodoros N. Arvanitis	[41]
8	M. S. Hane Aung	[31]
9	Anna Barcelo	[30]
10	Vanya Van Belle	[36] [37] [43] [44]
11	Tom Bourne	[32] [36] [39]
12	Jos De Brabanter	[7]
13	Ben Van Calster	[31] [32] [34] [36] [38] [39] [42]
14	Xavier Castells	[30]
15	Bernardo Celda	[20] [41]
16	Chi-Lun Cheng	[27]
17	Giansalvo Cirrincione	[3]
18	Maurizio Cirrincione	[3]
19	George Condous	[32] [36] [39]
20	Hans Daniels	[7]
21	Srinandan Dasmahapatra	[20] [41]
22	Hugo Devlieger	[7]
23	Andy Devos	[8] [13] [23]
24	Paul Van Dooren	[2]
25	David Dupplaw	[20] [41]
26	Terence A. Etchells	[31]
27	Juan Miguel García-Gómez	[29] [30] [41]
28	Tony Van Gestel	[10] [11]
29	Olivier Gevaert	[42]
30	Horacio González-Vélez	[20] [41]
31	M. Van Der Graaf	[13]
32	Arend Heerschap	[28]
33	Kris Hermus	[14]
34	Caroline Van Holsbeke	[34] [42]
35	F. A. Howe	[13]
36	M. Ishteva	[40]
37	Alfons Juan-Císcar	[29] [30]
38	Margarida Julià-Sapé	[30] [41]
39	Emma Kirk	[39]
40	Alexander Kukush	[6] [12] [19] [25] [27]
41	Lieven De Lathauwer	[16] [17] [33] [35] [40]
42	Philippe Lemmerling	[5] [9] [14] [16] [24]
43	Paul H. Lewis	[20] [41]
44	Paulo J. G. Lisboa	[31]
45	Chuan Lu	[7] [10] [11] [23]
46	Lukas Lukas	[7] [8] [13]
47	Jan Luts	[24] [28] [30] [32]
48	Carles Majós	[8] [13]
49	Ivan Markovsky	[6] [12] [15] [19] [21] [22] [25]
50	Nicola Mastronardi	[2] [27]
51	Mariola Mier	[20] [41]
52	Bart De Moor	[4] [5] [42]
53	A. Moreno-Torres	[13]
54	Geert Morren	[9]
55	Ian T. Nabney	[34]
56	Gunnar Naulaers	[7]
57	B. De Neuter	[24]
58	Chris Paige	[27]
59	Jean-Michel Papy	[17]
60	Haesun Park	[1]
61	Andrew Peet	[20] [41]
62	Kristiaan Pelckmans	[37] [43] [44]
63	Amedeo Premoli	[19]
64	Maria Luisa Rastello	[19]
65	Montserrat Robles	[20] [29] [30] [41]
66	Carlos Sáez	[30]
67	M. Schuermans	[16]
68	Diana M. Sima	[18] [26]
69	Torsten Söderström	[22]
70	Johan A. K. Suykens	[7] [8] [10] [11] [13] [23] [28] [32] [37] [43] [44]
71	Anne Rosemary Tate	[8] [13]
72	Antonia C. Testa	[31] [34] [38]
73	Dirk Timmerman	[4] [10] [11] [31] [32] [34] [36] [38] [39] [42]
74	Salvador Tortajada	[30]
75	Richard J. Vaccaro	[22]
76	Lil Valentin	[31] [34] [38]
77	Leentje Vanhamme	[5] [8] [13] [24]
78	Ignace Vergote	[4] [10] [11] [34]
79	Werner Verhelst	[14]
80	Herman Verrelst	[4]
81	Javier Vicente	[30]
82	Maarten De Vos	[33] [35]
83	Patrick Wambacq	[14]

Colors in the list of coauthors