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Sabine Van Huffel Vis

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*2009
44EEVanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69
43EEVanya 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
42EEBen 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
41EEHoracio 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)
40EEPierre-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
39EEBen 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
38EEBen Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel: Multi-class classification of ovarian tumors. ESANN 2008: 65-70
37EEVanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94
36EEBen 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
35EEMaarten De Vos, Lieven De Lathauwer, Sabine Van Huffel: Algorithm for imposing SOBI-type constraints on the CP model. ISCAS 2008: 1344-1347
34EEBen 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
33EEMaarten De Vos, Lieven De Lathauwer, Sabine Van Huffel: Imposing Independence Constraints in the CP Model. ICA 2007: 33-40
32EEBen 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
31EEM. 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
30EEJuan 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
29EEJuan 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
28EEJan 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)
27EESabine 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)
26EEDiana M. Sima, Sabine Van Huffel: Level choice in truncated total least squares. Computational Statistics & Data Analysis 52(2): 1103-1118 (2007)
25EEAlexander 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)
24EEB. 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)
23EEChuan 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)
22EESabine Van Huffel, Ivan Markovsky, Richard J. Vaccaro, Torsten Söderström: Total least squares and errors-in-variables modeling. Signal Processing 87(10): 2281-2282 (2007)
21EEIvan Markovsky, Sabine Van Huffel: Overview of total least-squares methods. Signal Processing 87(10): 2283-2302 (2007)
2006
20EECarles 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
19EEIvan 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)
18EEDiana M. Sima, Sabine Van Huffel: A class of template splines. Computational Statistics & Data Analysis 50(12): 3486-3499 (2006)
17EEJean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel: Common pole estimation in multi-channel exponential data modeling. Signal Processing 86(4): 846-858 (2006)
16EEM. 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
15EEIvan Markovsky, Sabine Van Huffel: On Weighted Structured Total Least Squares. LSSC 2005: 695-702
14EEKris 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
13EELukas 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)
12EEAlexander 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
11EEChuan 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
10EEChuan 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)
9EEGeert 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
6EEAlexander 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
5EEPhilippe 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
4EEPeter 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
3EEGiansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione: The GeTLS EXIN Neuron for Linear Regression. IJCNN (6) 2000: 285-289
2EENicola 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)