Search Results - "Krijthe, Jesse H."

Also for k-means: more data does not imply better performance by Loog, Marco, Krijthe, Jesse H., Bicego, Manuele

“…Arguably, a desirable feature of a learner is that its performance gets better with an increasing amount of training data, at least in expectation. This issue…”
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The effect of cardiovascular risk on disease progression in de novo Parkinson's disease patients: An observational analysis by Oosterwegel, Max J, Krijthe, Jesse H, den Brok, Melina G H E, van den Heuvel, Lieneke, Richard, Edo, Heskes, Tom, Bloem, Bastiaan R, Evers, Luc J W

“…Currently available treatment options for Parkinson's disease are symptomatic and do not alter the course of the disease. Recent studies have raised the…”
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Sex-Specific Patient Journeys in Early Parkinson's Disease in the Netherlands by Vlaanderen, Floris Pieter, de Man, Yvonne, Krijthe, Jesse H, Tanke, Marit A C, Groenewoud, A S, Jeurissen, Patrick P T, Oertelt-Prigione, Sabine, Munneke, Marten, Bloem, Bastiaan R, Meinders, Marjan J

“…To reconstruct a sex-specific patient journey for Dutch persons with Parkinson's disease (PD) during the first 5 years after diagnosis. We analyzed a national…”
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Measuring Parkinson's disease over time: The real‐world within‐subject reliability of the MDS‐UPDRS by Evers, Luc J.W., Krijthe, Jesse H., Meinders, Marjan J., Bloem, Bastiaan R., Heskes, Tom M.

“…Background An important challenge in Parkinson's disease research is how to measure disease progression, ideally at the individual patient level. The…”
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A brief prehistory of double descent by Loog, Marco, Viering, Tom, Mey, Alexander, Krijthe, Jesse H., Tax, David M. J.

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Projected estimators for robust semi-supervised classification by Krijthe, Jesse H., Loog, Marco

“…For semi-supervised techniques to be applied safely in practice we at least want methods to outperform their supervised counterparts. We study this question…”
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Nuclear discrepancy for single-shot batch active learning by Viering, Tom J., Krijthe, Jesse H., Loog, Marco

“…Active learning algorithms propose what data should be labeled given a pool of unlabeled data. Instead of selecting randomly what data to annotate, active…”
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The association of comorbidity with Parkinson's disease-related hospitalizations by Hommel, Adrianus L.A.J., Krijthe, Jesse H., Darweesh, Sirwan, Bloem, Bastiaan R.

“…Unplanned hospital admissions associated with Parkinson's disease could be partly attributable to comorbidities. We studied nationwide claims databases and…”
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Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study by Evers, Luc Jw, Raykov, Yordan P, Krijthe, Jesse H, Silva de Lima, Ana Lígia, Badawy, Reham, Claes, Kasper, Heskes, Tom M, Little, Max A, Meinders, Marjan J, Bloem, Bastiaan R

“…Wearable sensors have been used successfully to characterize bradykinetic gait in patients with Parkinson disease (PD), but most studies to date have been…”
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The future of artificial intelligence in intensive care: moving from predictive to actionable AI by Smit, Jim M., Krijthe, Jesse H., van Bommel, Jasper

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Estimating the Effect of Early Treatment Initiation in Parkinson's Disease Using Observational Data by Heuvel, Lieneke, Evers, Luc J.W., Meinders, Marjan J., Post, Bart, Stiggelbout, Anne M., Heskes, Tom M., Bloem, Bastiaan R., Krijthe, Jesse H.

“…ABSTRACT Background Both patients and physicians may choose to delay initiation of dopamine replacement therapy in Parkinson's disease (PD) for various…”
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Author Correction: Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics by Taskesen, Erdogan, Huisman, Sjoerd M. H., Mahfouz, Ahmed, Krijthe, Jesse H., de Ridder, Jeroen, van de Stolpe, Anja, van den Akker, Erik, Verhaegh, Wim, Reinders, Marcel J. T.

“…A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper…”
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Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics by Taskesen, Erdogan, Huisman, Sjoerd M. H., Mahfouz, Ahmed, Krijthe, Jesse H., de Ridder, Jeroen, van de Stolpe, Anja, van den Akker, Erik, Verheagh, Wim, Reinders, Marcel J. T.

“…The use of genome-wide data in cancer research, for the identification of groups of patients with similar molecular characteristics, has become a standard…”
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Density of Patient-Sharing Networks: Impact on the Value of Parkinson Care by Vlaanderen, Floris P, de Man, Yvonne, Tanke, Marit A C, Munneke, Marten, Atsma, Femke, Meinders, Marjan J, Jeurissen, Patrick P T, Bloem, Bastiaan R, Krijthe, Jesse H, Groenewoud, Stef

“…Optimal care for Parkinson's disease (PD) requires coordination and collaboration between providers within a complex care network. Individual patients have…”
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Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study by Smit, Jim M., Krijthe, Jesse H., Tintu, Andrei N., Endeman, Henrik, Ludikhuize, Jeroen, van Genderen, Michel E., Hassan, Shermarke, El Moussaoui, Rachida, Westerweel, Peter E., Goekoop, Robbert J., Waverijn, Geeke, Verheijen, Tim, den Hollander, Jan G., de Boer, Mark G. J., Gommers, Diederik A. M. P. J., van der Vlies, Robin, Schellings, Mark, Carels, Regina A., van Nieuwkoop, Cees, Arbous, Sesmu M., van Bommel, Jasper, Knevel, Rachel, de Rijke, Yolanda B., Reinders, Marcel J. T.

“…Background Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units…”
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Robust semi-supervised least squares classification by implicit constraints by Krijthe, Jesse H., Loog, Marco

“…We introduce the implicitly constrained least squares (ICLS) classifier, a novel semi-supervised version of the least squares classifier. This classifier…”
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Robust Importance-Weighted Cross-Validation Under Sample Selection Bias by Kouw, Wouter M., Krijthe, Jesse H., Loog, Marco

“…Cross-validation under sample selection bias can, in principle, be done by importance-weighting the empirical risk. However, the importance-weighted risk…”
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Optimistic semi-supervised least squares classification by Krijthe, Jesse H., Loog, Marco

“…The goal of semi-supervised learning is to improve supervised classifiers by using additional unlabeled training examples. In this work we study a simple…”
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Possible modification of BRSK1 on the risk of alkylating chemotherapy-related reduced ovarian function by van der Kooi, Anne-Lotte L F, van Dijk, Marloes, Broer, Linda, van den Berg, Marleen H, Laven, Joop S E, van Leeuwen, Flora E, Lambalk, Cornelis B, Overbeek, Annelies, Loonen, Jacqueline J, van der Pal, Helena J, Tissing, Wim J, Versluys, Birgitta, Bresters, Dorine, Beerendonk, Catharina C M, Ronckers, Cécile R, van der Heiden-van der Loo, Margriet, Kaspers, Gertjan L, de Vries, Andrica C H, Robison, Leslie L, Hudson, Melissa M, Chemaitilly, Wassim, Byrne, Julianne, Berger, Claire, Clemens, Eva, Dirksen, Uta, Falck Winther, Jeanette, Fosså, Sophie D, Grabow, Desiree, Haupt, Riccardo, Kaiser, Melanie, Kepak, Tomas, Kruseova, Jarmila, Modan-Moses, Dalit, Pluijm, Saskia M F, Spix, Claudia, Zolk, Oliver, Kaatsch, Peter, Krijthe, Jesse H, Kremer, Leontien C, Yasui, Yutaka, Brooke, Russell J, Uitterlinden, André G, van den Heuvel-Eibrink, Marry M, van Dulmen-den Broeder, Eline

“…Abstract STUDY QUESTION Do genetic variations in the DNA damage response pathway modify the adverse effect of alkylating agents on ovarian function in female…”
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Implicitly Constrained Semi-supervised Linear Discriminant Analysis by Krijthe, J. H., Loog, Marco

“…Semi-supervised learning is an important and active topic of research in pattern recognition. For classification using linear discriminant analysis…”
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