VALKENBORG, Dirk

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VALKENBORG, Dirk
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dirk.valkenborg@uhasselt.be
 
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Publications

Results 1-20 of 115 (Search time: 0.005 seconds).

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Issue DateTitleContributor(s)TypeCat.
12024The BoostingBECKER, Thijs; GEUBBELMANS, Melvin; ROUSSEAU, Axel-Jan; VALKENBORG, Dirk; BURZYKOWSKI, TomaszJournal ContributionA2
22024Implementation of polygenic risk scores from sequencing data towards practice by utilizing large publicly available datasetsRojo, Alejandro Correa; VALKENBORG, Dirk; Ertaylan, GokhanJournal ContributionM
32023Machine learning approach for the prediction of the number of sulphur atoms in peptides using the theoretical aggregated isotope distributionAGTEN, Annelies; CLAESEN, Jurgen; BURZYKOWSKI, Tomasz; VALKENBORG, DirkJournal ContributionA1
42023The isotope distribution: A rose with thornsCLAESEN, Jurgen; Rockwood, Alan; Gorshkov, Mikhail; VALKENBORG, DirkJournal ContributionA1
52023Generalized linear modelsBURZYKOWSKI, Tomasz; GEUBBELMANS, Melvin; ROUSSEAU, Axel-Jan; VALKENBORG, DirkJournal ContributionA2
62023Validation of machine learning algorithmsBURZYKOWSKI, Tomasz; GEUBBELMANS, Melvin; ROUSSEAU, Axel-Jan; VALKENBORG, DirkJournal ContributionA2
72023Introduction to machine learningBURZYKOWSKI, Tomasz; ROUSSEAU, Axel-Jan; GEUBBELMANS, Melvin; VALKENBORG, DirkJournal ContributionA2
82023Support vector machinesVALKENBORG, Dirk; ROUSSEAU, Axel-Jan; GEUBBELMANS, Melvin; BURZYKOWSKI, TomaszJournal ContributionA2
92023Decision trees and random forestsBECKER, Thijs; ROUSSEAU, Axel-Jan; GEUBBELMANS, Melvin; BURZYKOWSKI, Tomasz; VALKENBORG, DirkJournal ContributionA1
102023A compositional data model to predict the isotope distribution for average peptides using a compositional spline modelAGTEN, Annelies; VILENNE, Frédérique; PROSTKO, Piotr; VALKENBORG, DirkJournal ContributionA1
112023High-dimensional dataGEUBBELMANS, Melvin; ROUSSEAU, Axel-Jan; VALKENBORG, Dirk; BURZYKOWSKI, TomaszJournal ContributionA2
122023NMR-Metabolomics Reveals a Metabolic Shift after Surgical Resection of Non-Small Cell Lung CancerDERVEAUX, Elien; GEUBBELMANS, Melvin; Criel, Maarten; Demedts, Ingel; Himpe, Ulrike; Tournoy, Kurt; Vercauter, Piet; Johansson, Erik; VALKENBORG, Dirk; VANHOVE, Karolien; MESOTTEN, Liesbet; ADRIAENSENS, Peter; THOMEER, MichielJournal ContributionA1
132023Supervised learningVALKENBORG, Dirk; GEUBBELMANS, Melvin; ROUSSEAU, Axel-Jan; BURZYKOWSKI, TomaszJournal ContributionA1
142023Unsupervised learningVALKENBORG, Dirk; ROUSSEAU, Axel-Jan; GEUBBELMANS, Melvin; BURZYKOWSKI, TomaszJournal ContributionA2
152022Envemind: Accurate Monoisotopic Mass Determination Based On Isotopic EnvelopeRadzinski, Piotr; VALKENBORG, Dirk; Startek, Michal Piotr; Gambin, AnnaJournal ContributionA1
162022R Shiny App for the Automated Deconvolution of NMR Spectra to Quantify the Solid-State Forms of Pharmaceutical MixturesPROSTKO, Piotr; Pikkemaat, Jeroen; Selter, Philipp; Lukaschek, Michail; Wechselberger, Rainer; KHAMIAKOVA, Tatsiana; VALKENBORG, DirkJournal ContributionA1
172022Four layer multi-omics reveals molecular responses to aneuploidy in LeishmaniaCuypers, Bart; Meysman, Pieter; Erb, Ionas; Bittremieux, Wout; VALKENBORG, Dirk; Baggerman, Geert; Mertens, Inge; Sundar, Shyam; Khanal, Basudha; Notredame, Cedric; Dujardin, Jean-Claude; Domagalska, Malgorzata A.; Laukens, KrisDatasetDS
182022Four layer multi-omics reveals molecular responses to aneuploidy in LeishmaniaCuypers, Bart; Meysman, Pieter; Erb, Ionas; Bittremieux, Wout; VALKENBORG, Dirk; Baggerman, Geert; Mertens, Inge; Sundar, Shyam; Khanal, Basudha; Notredame, Cedric; Dujardin, Jean-Claude; Domagalska, Malgorzata A.; Laukens, Kris; Engwerda, Christian R.Journal ContributionA1
192022Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parametersGevaert, Arne; ROUSSEAU, Axel-Jan; BECKER, Thijs; VALKENBORG, Dirk; De Bie, Tijl; Saeys, YvanDatasetDS
202022Evaluating Feature Attribution Methods in the Image Domain: High-Dimensional DatasetsGevaert, Arne; ROUSSEAU, Axel-Jan; BECKER, Thijs; VALKENBORG, Dirk; De Bie, Tijl; Saeys, YvanDatasetDS
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