Bayesian optimization of hyper-parameters in reservoir computing. - Jan Yperman; Thijs Becker (CoRR, 2016)

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; et al. (CoRR, 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)

Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation. - Axel-Jan Rousseau; Thijs Becker; Jeroen Bertels; Matthew B. Blaschko; Dirk Valkenborg (ISBI, 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; et al. (Comput. Methods Programs Biomed., 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)

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; et al. (Comput. Methods Programs Biomed., 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 (Zenodo, 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 (Zenodo, 2022)

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 (ICEIS (1), 2023)

Accelerating Power Flow Calculations in LV Networks Using Physics-Informed Graph Neural Networks. - Muhammad Furqan Azam; Chris Hermans; Thijs Becker; Reinhilde D'hulst; Koen Vanthournout; Geert Deconinck (ISGT EUROPE, 2024)

Fast and interpretable electricity consumption scenario generation for individual consumers. - Jonas Soenen; Aras Yurtman; Thijs Becker; Koen Vanthournout; Hendrik Blockeel (CoRR, 2024)

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 (Zenodo, 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., 2024)