Thijs Becker

According to our database, Thijs Becker authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Evaluating feature attribution methods in the image domain.

Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys

Mach. Learn., September, 2024

2023

A Framework for a Data Quality Module in Decision Support Systems: An Application with Smart Grid Time Series.

Giulia Rinaldi, Fernando Crema Garcia, Oscar Mauricio Agudelo, Thijs Becker, Koen Vanthournout, Willem Mestdagh, Bart De Moor

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022

Evaluating Feature Attribution Methods in the Image Domain: High-Dimensional Datasets.

Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys

Dataset, February, 2022

Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters.

Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys

Dataset, February, 2022

Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180].

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters

Comput. Methods Programs Biomed., 2022

2021

Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection.

Thijs Becker, Kaat Vandecasteele, Christos Chatzichristos, Wim Van Paesschen, Dirk Valkenborg, Sabine Van Huffel, Maarten De Vos

Sensors, 2021

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression.

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters

Comput. Methods Programs Biomed., 2021

Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation.

Axel-Jan Rousseau, Thijs Becker, Jeroen Bertels, Matthew B. Blaschko, Dirk Valkenborg

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Deciphering the Morphology of Motor Evoked Potentials.

Jan Yperman, Thijs Becker, Dirk Valkenborg, Niels Hellings, Melissa Cambron, Dominique Dive, Guy Laureys, Veronica Popescu, Bart Van Wijmeersch, Liesbet M. Peeters

Frontiers Neuroinformatics, 2020

Longitudinal modeling of MS patient trajectories improves predictions of disability progression.

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters

CoRR, 2020

2016

Bayesian optimization of hyper-parameters in reservoir computing.

Jan Yperman, Thijs Becker

CoRR, 2016