Jan Luts

Publication Activity (10 Years)

Years Active: 2007-2015
Publications (10 Years): 0

Top Topics

Bayesian Inference

Hyperparameters

Top Venues

Comput. Stat. Data Anal.

IEEE Trans. Knowl. Data Eng.

Publications

Jan Luts
Real-Time Semiparametric Regression for Distributed Data Sets. IEEE Trans. Knowl. Data Eng. 27 (2) (2015)
Jan Luts, John T. Ormerod
Mean field variational Bayesian inference for support vector machine classification. Comput. Stat. Data Anal. 73 (2014)
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) (2012)
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) (2011)
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) (2011)
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)
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)
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) (2007)
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)
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) (2007)