Sabine Van Huffel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
17
Active years
1994–2022
Best venue rank
B
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ESANN | A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. | Berardino Barile, Pooya Ashtari, Franoise Durand-Dubief, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel |
| 2018 | ACSSC | Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. | Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Bousse, Lieven De Lathauwer, Sabine Van Huffel |
| 2017 | CEC | A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT). | Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Francesco Calimeri, Sabine Van Huffel |
| 2017 | ESANN | Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. | Adrian Ion-Margineanu, Sofie Van Cauter, Diana Maria Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, Sabine Van Huffel |
| 2017 | ICANN | A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. | Adrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima, Franoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier |
| 2017 | BSN | Sleep Apnea Hypopnea Syndrome classification in SpO2 signals using wavelet decomposition and phase space reconstruction. | John F. Morales, Carolina Varon, Margot Deviaene, Pascal Borze, Dries Testelmans, Bertien Buyse, Sabine Van Huffel |
| 2017 | ISCC | Interval Coded Scoring extensions for larger problems. | Lieven Billiet, Sabine Van Huffel, Vanya Van Belle |
| 2017 | MICCAI | Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. | Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel |
| 2016 | ESANN | Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. | Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel |
| 2016 | ICPRAM | Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study. | Lieven Billiet, Sabine Van Huffel, Vanya Van Belle |
| 2016 | MICCAI | Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. | Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets |
| 2015 | ICPRAM | Automated Respiration Detection from Neonatal Video Data. | Ninah Koolen, Olivier Decroupet, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Bart Vanrumste, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos |
| 2014 | ICPRAM | Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain. | Ninah Koolen, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel |
| 2013 | ICPRAM | Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers. | Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Lieven Lagae, Berten Ceulemans, Sabine Van Huffel, Bart Vanrumste |
| 2012 | ESANN | Interval coded scoring systems for survival analysis. | Vanya Van Belle, Sabine Van Huffel, Johan A. K. Suykens, Stephen P. Boyd |
| 2012 | ICMI | Integrating video and accelerometer signals for nocturnal epileptic seizure detection. | Kris Cuppens, Chih-Wei Chen, Kevin Bing-Yung Wong, Anouk Van de Vel, Lieven Lagae, Berten Ceulemans, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan |
| 2011 | ICANN | Automatic Seizure Detection Incorporating Structural Information. | Borbla Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel |
| 2010 | ESANN | On the use of a clinical kernel in survival analysis. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2009 | CBMS | 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 Martnez-Bisbal, Bernardo Celda |
| 2009 | ICANN | MINLIP: Efficient Learning of Transformation Models. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2009 | IWANN | Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2008 | CBMS | Towards a Clinical Decision Support System for Pregnancies of Unknown Location. | Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous |
| 2008 | ESANN | Survival SVM: a practical scalable algorithm. | Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel |
| 2008 | ESANN | Multi-class classification of ovarian tumors. | Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel |
| 2008 | IJCNN | Multi-class AUC metrics and weighted alternatives. | Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel |
| 2008 | ISCAS | Algorithm for imposing SOBI-type constraints on the CP model. | Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel |
| 2007 | IBPRIA | Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data. | Juan Miguel Garca-Gmez, Montserrat Robles, Sabine Van Huffel, Alfons Juan-Cscar |
| 2007 | ICANN | 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 |
| 2007 | ISNN | Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. | M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman |
| 2007 | IWANN | Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. | Juan Miguel Garca-Gmez, Salvador Tortajada, Javier Vicente, Carlos Sez, Xavier Castells, Jan Luts, Margarida Juli-Sap, Alfons Juan-Cscar, Sabine Van Huffel, Anna Barcel, Joaqun Ario, Carles Ars, Montserrat Robles |
| 2003 | AIME | Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. | Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote |
| 2003 | IJCNN | A novel neural approach to inverse problems with discontinuities (the GMR neural network). | Giansalvo Cirrincione, Chuan Lu, Maurizio Cirrincione, Sabine Van Huffel |
| 2002 | ESANN | Prediction of mental development of preterm newborns at birth time using LS-SVM. | Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger |
| 2002 | ESANN | The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals. | Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majs, Carles Ars |
| 2000 | CBMS | Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. | Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote |
| 2000 | IJCNN | The GeTLS EXIN Neuron for Linear Regression. | Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione |
| 1998 | ICASSP | Speech compression based on exact modeling and structured total least norm optimization. | Philippe Lemmerling, Ioannis Dologlou, Sabine Van Huffel |
| 1996 | ICASSP | State-space based approximation methods for the harmonic retrieval problem in the presence of known signal poles. | Hua Chen, Sabine Van Huffel, Joos Vandewalle |
| 1994 | ICASSP | Fast algorithms for exponential data modeling. | Haesun Park, Sabine Van Huffel, Lars Eldn |