Jan Luts

According to our database, Jan Luts authored at least 10 papers between 2007 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

Real-Time Semiparametric Regression for Distributed Data Sets.

Jan Luts

IEEE Trans. Knowl. Data Eng., 2015

2014

Mean field variational Bayesian inference for support vector machine classification.

Jan Luts, John T. Ormerod

Comput. Stat. Data Anal., 2014

2012

A mixed effects least squares support vector machine model for classification of longitudinal data.

Jan Luts, Geert Molenberghs, Geert Verbeke, Sabine Van Huffel, Johan A. K. Suykens

Comput. Stat. Data Anal., 2012

2011

A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents.

Carlos Sáez, Juan Miguel García-Gómez, Javier Vicente, Salvador Tortajada, Jan Luts, David Dupplaw, Sabine Van Huffel, Montserrat Robles

Knowl. Eng. Rev., 2011

On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation.

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

Comput. Biol. Medicine, 2011

2009

Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI.

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

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2007

Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals.

B. De Neuter, Jan Luts, Leentje Vanhamme, Philippe Lemmerling, Sabine Van Huffel

Comput. Methods Programs Biomed., 2007

A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection.

Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sabine Van Huffel

Artif. Intell. Medicine, 2007

Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning.

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

Proceedings of the Computational and Ambient Intelligence, 2007

Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression.

Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel

Proceedings of the Artificial Neural Networks, 2007