2008 |
39 | EE | 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 | EE | Ben Van Calster,
Dirk Timmerman,
Antonia C. Testa,
Lil Valentin,
Sabine Van Huffel:
Multi-class classification of ovarian tumors.
ESANN 2008: 65-70 |
37 | EE | Vanya Van Belle,
Kristiaan Pelckmans,
Johan A. K. Suykens,
Sabine Van Huffel:
Survival SVM: a practical scalable algorithm.
ESANN 2008: 89-94 |
36 | EE | 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 | EE | Maarten De Vos,
Lieven De Lathauwer,
Sabine Van Huffel:
Algorithm for imposing SOBI-type constraints on the CP model.
ISCAS 2008: 1344-1347 |
34 | EE | 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 | EE | Maarten De Vos,
Lieven De Lathauwer,
Sabine Van Huffel:
Imposing Independence Constraints in the CP Model.
ICA 2007: 33-40 |
32 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Diana M. Sima,
Sabine Van Huffel:
Level choice in truncated total least squares.
Computational Statistics & Data Analysis 52(2): 1103-1118 (2007) |
25 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ivan Markovsky,
Sabine Van Huffel:
Overview of total least-squares methods.
Signal Processing 87(10): 2283-2302 (2007) |
2006 |
20 | EE | 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 | EE | 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 | EE | Diana M. Sima,
Sabine Van Huffel:
A class of template splines.
Computational Statistics & Data Analysis 50(12): 3486-3499 (2006) |
17 | EE | 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 | EE | 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 | EE | Ivan Markovsky,
Sabine Van Huffel:
On Weighted Structured Total Least Squares.
LSSC 2005: 695-702 |
14 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Giansalvo Cirrincione,
Sabine Van Huffel,
Maurizio Cirrincione:
The GeTLS EXIN Neuron for Linear Regression.
IJCNN (6) 2000: 285-289 |
2 | EE | 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) |