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Sabine Van Huffel :
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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. [Citation Graph (0, 0)][DBLP ] AIME, 2003, pp:219-228 [Conf ] Peter Antal , Herman Verrelst , Dirk Timmerman , Sabine Van Huffel , Bart De Moor , Ignace Vergote Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. [Citation Graph (0, 0)][DBLP ] CBMS, 2000, pp:103-108 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] ESANN, 2002, pp:167-172 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] ESANN, 2002, pp:131-136 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] IAT Workshops, 2006, pp:208-211 [Conf ] Giansalvo Cirrincione , Sabine Van Huffel , Maurizio Cirrincione The GeTLS EXIN Neuron for Linear Regression. [Citation Graph (0, 0)][DBLP ] IJCNN (6), 2000, pp:285-289 [Conf ] Ivan Markovsky , Sabine Van Huffel On Weighted Structured Total Least Squares. [Citation Graph (0, 0)][DBLP ] LSSC, 2005, pp:695-702 [Conf ] Nicola Mastronardi , Paul Van Dooren , Sabine Van Huffel On the Stability of the Generalized Schur Algorithm. [Citation Graph (0, 0)][DBLP ] NAA, 2000, pp:560-567 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 2003, v:28, n:3, pp:281-306 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 2004, v:31, n:1, pp:73-89 [Journal ] Sabine Van Huffel , Haesun Park Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. [Citation Graph (0, 0)][DBLP ] Parallel Computing, 1994, v:20, n:8, pp:1107-1128 [Journal ] Philippe Lemmerling , Leentje Vanhamme , Sabine Van Huffel , Bart De Moor IQML-like algorithms for solving structured total least squares problems: a unified view. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2001, v:81, n:9, pp:1935-1945 [Journal ] Jean-Michel Papy , Lieven De Lathauwer , Sabine Van Huffel Common pole estimation in multi-channel exponential data modeling. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2006, v:86, n:4, pp:846-858 [Journal ] M. Schuermans , Philippe Lemmerling , Lieven De Lathauwer , Sabine Van Huffel The use of total least squares data fitting in the shape-from-moments problem. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2006, v:86, n:5, pp:1109-1115 [Journal ] Geert Morren , Philippe Lemmerling , Sabine Van Huffel Decimative subspace-based parameter estimation techniques. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2003, v:83, n:5, pp:1025-1033 [Journal ] Kris Hermus , Werner Verhelst , Philippe Lemmerling , Patrick Wambacq , Sabine Van Huffel Perceptual audio modeling with exponentially damped sinusoids. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2005, v:85, n:1, pp:163-176 [Journal ] Alexander Kukush , Ivan Markovsky , Sabine Van Huffel Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis. [Citation Graph (0, 0)][DBLP ] Computational Statistics & Data Analysis, 2002, v:41, n:1, pp:3-18 [Journal ] Alexander Kukush , Ivan Markovsky , Sabine Van Huffel Consistent estimation in an implicit quadratic measurement error model. [Citation Graph (0, 0)][DBLP ] Computational Statistics & Data Analysis, 2004, v:47, n:1, pp:123-147 [Journal ] Diana M. Sima , Sabine Van Huffel A class of template splines. [Citation Graph (0, 0)][DBLP ] Computational Statistics & Data Analysis, 2006, v:50, n:12, pp:3486-3499 [Journal ] Ivan Markovsky , Maria Luisa Rastello , Amedeo Premoli , Alexander Kukush , Sabine Van Huffel The element-wise weighted total least-squares problem. [Citation Graph (0, 0)][DBLP ] Computational Statistics & Data Analysis, 2006, v:50, n:1, pp:181-209 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Computer Methods and Programs in Biomedicine, 2007, v:85, n:2, pp:129-137 [Journal ] Juan Miguel García-Gómez , Montserrat Robles , Sabine Van Huffel , Alfons Juan-Císcar Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data. [Citation Graph (0, 0)][DBLP ] IbPRIA (2), 2007, pp:266-273 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] ICANN (2), 2007, pp:139-148 [Conf ] M. S. H. Aung , Paulo J. G. Lisboa , Terence A. Etchells , A. C. Testa , Ben Van Calster , Sabine Van Huffel , L. Valentin , Dirk Timmerman Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. [Citation Graph (0, 0)][DBLP ] ISNN (2), 2007, pp:1177-1186 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] IWANN, 2007, pp:1012-1019 [Conf ] Sabine Van Huffel , Ivan Markovsky , Richard J. Vaccaro , Torsten Söderström Total least squares and errors-in-variables modeling. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2007, v:87, n:10, pp:2281-2282 [Journal ] Ivan Markovsky , Sabine Van Huffel Overview of total least-squares methods. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2007, v:87, n:10, pp:2283-2302 [Journal ] Towards a Clinical Decision Support System for Pregnancies of Unknown Location. [Citation Graph (, )][DBLP ] Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI. [Citation Graph (, )][DBLP ] Survival SVM: a practical scalable algorithm. [Citation Graph (, )][DBLP ] Multi-class classification of ovarian tumors. [Citation Graph (, )][DBLP ] Imposing Independence Constraints in the CP Model. [Citation Graph (, )][DBLP ] MINLIP: Efficient Learning of Transformation Models. [Citation Graph (, )][DBLP ] Multi-class AUC metrics and weighted alternatives. [Citation Graph (, )][DBLP ] Algorithm for imposing SOBI-type constraints on the CP model. [Citation Graph (, )][DBLP ] Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. [Citation Graph (, )][DBLP ] HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis. [Citation Graph (, )][DBLP ] A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. [Citation Graph (, )][DBLP ] An application of methods for the probabilistic three-class classification of pregnancies of unknown location. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.456secs