Search Results - "Becker, Thijs"

Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection by Becker, Thijs, Vandecasteele, Kaat, Chatzichristos, Christos, Van Paesschen, Wim, Valkenborg, Dirk, Van Huffel, Sabine, De Vos, Maarten

“…Wearable technology will become available and allow prolonged electroencephalography (EEG) monitoring in the home environment of patients with epilepsy…”
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Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis by Yperman, Jan, Becker, Thijs, Valkenborg, Dirk, Popescu, Veronica, Hellings, Niels, Wijmeersch, Bart Van, Peeters, Liesbet M

“…Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis…”
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Motor evoked potentials for multiple sclerosis, a multiyear follow-up dataset by Yperman, Jan, Popescu, Veronica, Van Wijmeersch, Bart, Becker, Thijs, Peeters, Liesbet M.

“…Multiple sclerosis (MS) is a chronic disease affecting millions of people worldwide. Through the demyelinating and axonal pathology of MS, the signal…”
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Deciphering the Morphology of Motor Evoked Potentials by Yperman, Jan, Becker, Thijs, Valkenborg, Dirk, Hellings, Niels, Cambron, Melissa, Dive, Dominique, Laureys, Guy, Popescu, Veronica, Van Wijmeersch, Bart, Peeters, Liesbet M.

“…Motor Evoked Potentials (MEPs) are used to monitor disability progression in multiple sclerosis (MS). Their morphology plays an important role in this process…”
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Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study by De Brouwer, Edward, Becker, Thijs, Werthen-Brabants, Lorin, Dewulf, Pieter, Iliadis, Dimitrios, Dekeyser, Cathérine, Laureys, Guy, Van Wijmeersch, Bart, Popescu, Veronica, Dhaene, Tom, Deschrijver, Dirk, Waegeman, Willem, De Baets, Bernard, Stock, Michiel, Horakova, Dana, Patti, Francesco, Izquierdo, Guillermo, Eichau, Sara, Girard, Marc, Prat, Alexandre, Lugaresi, Alessandra, Grammond, Pierre, Kalincik, Tomas, Alroughani, Raed, Grand'Maison, Francois, Skibina, Olga, Terzi, Murat, Lechner-Scott, Jeannette, Gerlach, Oliver, Khoury, Samia J, Cartechini, Elisabetta, Van Pesch, Vincent, Sà, Maria José, Weinstock-Guttman, Bianca, Blanco, Yolanda, Ampapa, Radek, Spitaleri, Daniele, Solaro, Claudio, Maimone, Davide, Soysal, Aysun, Iuliano, Gerardo, Gouider, Riadh, Castillo-Triviño, Tamara, Sánchez-Menoyo, José Luis, Laureys, Guy, van der Walt, Anneke, Oh, Jiwon, Aguera-Morales, Eduardo, Altintas, Ayse, Al-Asmi, Abdullah, de Gans, Koen, Fragoso, Yara, Csepany, Tunde, Hodgkinson, Suzanne, Deri, Norma, Al-Harbi, Talal, Taylor, Bruce, Gray, Orla, Lalive, Patrice, Rozsa, Csilla, McGuigan, Chris, Kermode, Allan, Sempere, Angel Pérez, Mihaela, Simu, Simo, Magdolna, Hardy, Todd, Decoo, Danny, Hughes, Stella, Grigoriadis, Nikolaos, Sas, Attila, Vella, Norbert, Moreau, Yves, Peeters, Liesbet

“…Disability progression is a key milestone in the disease evolution of people with multiple sclerosis (PwMS). Prediction models of the probability of disability…”
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Evaluating feature attribution methods in the image domain by Gevaert, Arne, Rousseau, Axel-Jan, Becker, Thijs, Valkenborg, Dirk, De Bie, Tijl, Saeys, Yvan

“…Feature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model. Despite a recent growth…”
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Decision trees and random forests by Becker, Thijs, Rousseau, Axel-Jan, Geubbelmans, Melvin, Burzykowski, Tomasz, Valkenborg, Dirk

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Boosting by Becker, Thijs, Geubbelmans, Melvin, Rousseau, Axel-Jan, Valkenborg, Dirk, Burzykowski, Tomasz

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Scenario generation of residential electricity consumption through sampling of historical data by Soenen, Jonas, Yurtman, Aras, Becker, Thijs, D’hulst, Reinhilde, Vanthournout, Koen, Meert, Wannes, Blockeel, Hendrik

“…The low-voltage grid (LVG) needs to be reinforced to handle the increased load due to the transition towards renewable energy. Doing this optimally requires…”
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Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation by Rousseau, Axel-Jan, Becker, Thijs, Bertels, Jeroen, Blaschko, Matthew B., Valkenborg, Dirk

“…Neural networks for automated image segmentation are typically trained to achieve maximum accuracy, while less attention has been given to the calibration of…”
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Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression by De Brouwer, Edward, Becker, Thijs, Moreau, Yves, Havrdova, Eva Kubala, Trojano, Maria, Eichau, Sara, Ozakbas, Serkan, Onofrj, Marco, Grammond, Pierre, Kuhle, Jens, Kappos, Ludwig, Sola, Patrizia, Cartechini, Elisabetta, Lechner-Scott, Jeannette, Alroughani, Raed, Gerlach, Oliver, Kalincik, Tomas, Granella, Franco, Grand'Maison, Francois, Bergamaschi, Roberto, José Sá, Maria, Van Wijmeersch, Bart, Soysal, Aysun, Sanchez-Menoyo, Jose Luis, Solaro, Claudio, Boz, Cavit, Iuliano, Gerardo, Buzzard, Katherine, Aguera-Morales, Eduardo, Terzi, Murat, Trivio, Tamara Castillo, Spitaleri, Daniele, Van Pesch, Vincent, Shaygannejad, Vahid, Moore, Fraser, Oreja-Guevara, Celia, Maimone, Davide, Gouider, Riadh, Csepany, Tunde, Ramo-Tello, Cristina, Peeters, Liesbet

“…•Temporal neural networks allow to significantly improve the prediction of disability progression in MS patients.•Disability progression can be predicted in a…”
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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] by De Brouwer, Edward, Becker, Thijs, Moreau, Yves, Havrdova, Eva Kubala, Trojano, Maria, Eichau, Sara, Ozakbas, Serkan, Onofrj, Marco, Grammond, Pierre, Kuhle, Jens, Kappos, Ludwig, Sola, Patrizia, Cartechini, Elisabetta, Lechner-Scott, Jeannette, Alroughani, Raed, Gerlach, Oliver, Kalincik, Tomas, Granella, Franco, Grand'Maison, Francois, Bergamaschi, Roberto, Sá, Maria José, Van Wijmeersch, Bart, Soysal, Aysun, Sanchez-Menoyo, Jose Luis, Solaro, Claudio, Boz, Cavit, Iuliano, Gerardo, Buzzard, Katherine, Aguera-Morales, Eduardo, Terzi, Murat, Trivio, Tamara Castillo, Spitaleri, Daniele, Van Pesch, Vincent, Shaygannejad, Vahid, Moore, Fraser, Oreja-Guevara, Celia, Maimone, Davide, Gouider, Riadh, Csepany, Tunde, Ramo-Tello, Cristina, Peeters, Liesbet

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A scalable method for probabilistic short-term forecasting of individual households consumption in low voltage grids by Botman, Lola, Lago, Jesus, Becker, Thijs, Agudelo, Oscar Mauricio, Vanthournout, Koen, De Moor, Bart

“…Short-term individual household load forecasting is relevant for several applications and low voltage grid (LVG) stakeholders, e.g., for grid simulations,…”
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Optimized sampling strategy for load scenario generation in partially observable distribution grids by Azam, M. Furqan, Becker, Thijs, Hermans, Chris, Vanthournout, Koen, Deconinck, Geert

“…Due to the increased penetration of low-carbon technologies, low voltage (LV) distribution networks are expected to face frequent congestion and voltage…”
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Bayesian optimization of hyper-parameters in reservoir computing by Yperman, Jan, Becker, Thijs

“…We describe a method for searching the optimal hyper-parameters in reservoir computing, which consists of a Gaussian process with Bayesian optimization. It…”
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Evaluating Feature Attribution Methods in the Image Domain by Gevaert, Arne, Rousseau, Axel-Jan, Becker, Thijs, Valkenborg, Dirk, De Bie, Tijl, Saeys, Yvan

“…Feature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model. Despite a recent growth…”
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Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation by Rousseau, Axel-Jan, Becker, Thijs, Bertels, Jeroen, Blaschko, Matthew B, Valkenborg, Dirk

“…Neural networks for automated image segmentation are typically trained to achieve maximum accuracy, while less attention has been given to the calibration of…”
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Longitudinal modeling of MS patient trajectories improves predictions of disability progression by De Brouwer, Edward, Becker, Thijs, Moreau, Yves, Havrdova, Eva Kubala, Trojano, Maria, Eichau, Sara, Ozakbas, Serkan, Onofrj, Marco, Grammond, Pierre, Kuhle, Jens, Kappos, Ludwig, Sola, Patrizia, Cartechini, Elisabetta, Lechner-Scott, Jeannette, Alroughani, Raed, Gerlach, Oliver, Kalincik, Tomas, Granella, Franco, GrandMaison, Francois, Bergamaschi, Roberto, Sa, Maria Jose, Van Wijmeersch, Bart, Soysal, Aysun, Sanchez-Menoyo, Jose Luis, Solaro, Claudio, Boz, Cavit, Iuliano, Gerardo, Buzzard, Katherine, Aguera-Morales, Eduardo, Terzi, Murat, Trivio, Tamara Castillo, Spitaleri, Daniele, Van Pesch, Vincent, Shaygannej, Vahid, Moore, Fraser, Guevara, Celia Oreja, Maimone, Davide, Gouider, Riadh, Csepany, Tunde, Ramo-Tello, Cristina, Peeters, Liesbet

“…Research in Multiple Sclerosis (MS) has recently focused on extracting knowledge from real-world clinical data sources. This type of data is more abundant than…”
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