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Jan Luts
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Journal Articles
- 2015
- [j7]Jan Luts:
Real-Time Semiparametric Regression for Distributed Data Sets. IEEE Trans. Knowl. Data Eng. 27(2): 545-557 (2015) - 2014
- [j6]Jan Luts, John T. Ormerod:
Mean field variational Bayesian inference for support vector machine classification. Comput. Stat. Data Anal. 73: 163-176 (2014) - 2012
- [j5]Jan Luts, Geert Molenberghs
, Geert Verbeke
, Sabine Van Huffel, Johan A. K. Suykens
:
A mixed effects least squares support vector machine model for classification of longitudinal data. Comput. Stat. Data Anal. 56(3): 611-628 (2012) - 2011
- [j4]Geert J. Postma, Jan Luts, Albert J. Idema, Margarida Julià-Sapé
, Àngel Moreno-Torres, Witek Gajewicz, Johan A. K. Suykens
, Arend Heerschap, Sabine Van Huffel, Lutgarde M. C. Buydens:
On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. Comput. Biol. Medicine 41(2): 87-97 (2011) - [j3]Carlos Sáez
, Juan Miguel García-Gómez
, Javier Vicente, Salvador Tortajada
, Jan Luts, David Dupplaw, Sabine Van Huffel, Montserrat Robles:
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. Knowl. Eng. Rev. 26(3): 283-301 (2011) - 2007
- [j2]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. Artif. Intell. Medicine 40(2): 87-102 (2007) - [j1]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. Comput. Methods Programs Biomed. 85(2): 129-137 (2007)
Conference and Workshop Papers
- 2009
- [c3]Jan Luts, Johan A. K. Suykens
, Sabine Van Huffel, Teresa Laudadio, Sofie Van Cauter, Uwe Himmelreich
, Enrique Molla, Jose Piquer, M. Carmen Martínez-Bisbal, Bernardo Celda:
Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI. CBMS 2009: 1-8 - 2007
- [c2]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 - [c1]Juan Miguel García-Gómez
, Salvador Tortajada, Javier Vicente
, Carlos Sáez, Xavier Castells, Jan Luts, Margarida Julià-Sapé
, Alfons Juan-Císcar, Sabine Van Huffel, Anna Barceló, Joaquín Ariño, Carles Arús, Montserrat Robles:
Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. IWANN 2007: 1012-1019
Coauthor Index
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