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检索条件"机构=Pattern Recognition & Bioinformatics Delft University of Technology"
273 条 记 录,以下是11-20 订阅
排序:
Learning Solutions of Parametric Navier-Stokes With Physics-Informed Neural Networks
SSRN
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SSRN 2024年
作者: Naderibeni, Mahdi Reinders, Marcel J.T. Wu, Liang Tax, David M.J. Pattern Recognition and Bio-informatics Group Delft University of Technology Van Mourik Broekmanweg 6 Delft2628 XE Netherlands Science Research and Innovation DSM-Firmenich Delft Netherlands
We leverage Physics-Informed Neural Networks (PINNs) to learn solution functions of parametric Navier-Stokes Equations (NSE). Our proposed approach results in a feasible optimization problem setup that bypasses PINNs&... 详细信息
来源: 评论
Learning solutions of parametric Navier-Stokes with physics-informed neural networks
arXiv
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arXiv 2024年
作者: Naderibeni, Mahdi Reinders, Marcel J.T. Wu, Liang Tax, David M.J. Pattern Recognition and Bio-informatics Group Delft University of Technology Van Mourik Broekmanweg 6 Delft2628 XE Netherlands Science Research and Innovation dsm-firmenich Delft Netherlands
We leverage Physics-Informed Neural Networks (PINNs) to learn solution functions of parametric Navier-Stokes Equations (NSE). Our proposed approach results in a feasible optimization problem setup that bypasses PINNs... 详细信息
来源: 评论
iPINNs: Incremental learning for Physics-informed neural networks
arXiv
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arXiv 2023年
作者: Dekhovich, Aleksandr Sluiter, Marcel H.F. Tax, David M.J. Bessa, Miguel A. Department of Materials Science and Engineering Delft University of Technology Mekelweg 2 Delft2628 CD Netherlands Pattern Recognition and Bioinformatics Laboratory Delft University of Technology Van Mourik Broekmanweg 6 Delft2628 XE Netherlands School of Engineering Brown University 184 Hope St. ProvidenceRI02912 United States
Physics-informed neural networks (PINNs) have recently become a powerful tool for solving partial differential equations (PDEs). However, finding a set of neural network parameters that lead to fulfilling a PDE can be... 详细信息
来源: 评论
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures
arXiv
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arXiv 2024年
作者: Kato, Yuko Tax, David M.J. Loog, Marco Pattern Recognition and Bio-informatics Group Delft University of Technology Van Mourik Broekmanweg 6 Delft2628 XE Netherlands Institute for Computing and Information Sciences Radboud University Toernooiveld 212 Nijmegen6525 EC Netherlands
Conformal prediction, which makes no distributional assumptions about the data, has emerged as a powerful and reliable approach to uncertainty quantification in practical applications. The nonconformity measure used i... 详细信息
来源: 评论
POS0750 WHO PARTICIPATES IN AN ONLINE SYMPTOM CHECKER? CHARACTERISTICS, ATTRITION AND REPRESENTATIVENESS IN THE RHEUMATIC? STUDY
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Annals of the Rheumatic Diseases 2024年 83卷 1128-1129页
作者: F. Zegers L. Qin D. Selani G. Gomon T.D. Maarseveen H.K. Glas A. Van Tubergen Y. Goekoop-Ruiterman M.J.T. Reinders E.B. Van den Akker C. Baatenburg de Jong L. Klareskog B. Axnäs E. Steyerberg R. Bos S. Le Cessie R. Knevel Leiden University Medical Center Department of Biomedical Data Sciences Leiden Netherlands Leiden University Medical Center Department of Rheumatology Leiden Netherlands Delft University of Technology Department of Intelligent Systems Pattern Recognition and Bioinformatics Delft Netherlands Reumazorg Zuid West Neder;anmd Goes Netherlands Maastricht University Medical Center Department of Internal Medicine Division of Rheumatology Maastricht Netherlands Maastricht University Care and Public Health Research Institute (CAPHRI) Maastricht Netherlands Haga Hospital Department of Rheumatology Den Haag Netherlands Delft Technical University Delft Bioinformatics Lab Delft Netherlands Leiden University Medical Center Leiden Computational Biology Department of Biomedical Data Sciences Leiden Netherlands Delft University of Technology The Delft Bioinformatics Lab Pattern Recognition and Bioinformatics Delft Netherlands ReumaNederland Amsterdam Netherlands (Solna) Karolinska Institutet Division for Rheumatology Department of Medicine Stockholm Sweden Elsa Science Stockholm Sweden University Medical Center Rotterdam Department of Public Health Erasmus MC Rotterdam Netherlands Medical Center Leeuwarden Department of Rheumatology Leeuwarden Netherlands Nij Smellinghe Hospital Department of Rheumatology Drachten Netherlands Leiden University Medical Center Department of Clinical Epidemiology Leiden Netherlands Newcastle University Translational and Clinical Research Institute Rheumatology Newcastle upon Tyne United Kingdom
Background: Online symptom checkers (OSCs) could provide guidance in the diagnostic process. The number of OSCs are expanding yet often lack rigorous validation. Rheumatic? is an online questionnaire designed to provi...
来源: 评论
On the reusability of samples in active learning
arXiv
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arXiv 2022年
作者: van Tulder, Gijs Loog, Marco Data Science Group Faculty of Science Radboud University Nijmegen Netherlands Pattern Recognition Laboratory Delft University of Technology Delft Netherlands
An interesting but not extensively studied question in active learning is that of sample reusability: to what extent can samples selected for one learner be reused by another? This paper explains why sample reusabilit... 详细信息
来源: 评论
Cooperative data-driven modeling
arXiv
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arXiv 2022年
作者: Dekhovich, Aleksandr Turan, O. Taylan Yi, Jiaxiang Bessa, Miguel A. Department of Material Science and Engineering Delft University of Technology Mekelweg 2 Delft2628 CD Netherlands Pattern Recognition and Bioinformatics Laboratory Delft University of Technology Van Mourik Broekmanweg 6 Delft2628 XE Netherlands School of Engineering Brown University 184 Hope St. ProvidenceRI02912 United States
Data-driven modeling in mechanics is evolving rapidly based on recent machine learning advances, especially on artificial neural networks. As the field matures, new data and models created by different groups become a... 详细信息
来源: 评论
Multi-Unit Floor Plan recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans
arXiv
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arXiv 2024年
作者: Kratochvila, Lukas de Jong, Gijs Arkesteijn, Monique Bilík, Šimon Zemčík, Tomáš Horak, Karel Rellermeyer, Jan S. Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Department of Software Technology Faculty of Electrical Engineering Mathematics and Computer Science TU Delft Delft Netherlands Department of Management in the Built Environment Faculty of Architecture and the Built Environment TU Delft Delft Netherlands Computer Vision and Pattern Recognition Laboratory Department of Computational Engineering Lappeenranta-Lahti University of Technology LUT Lappeenranta Finland Dependable and Scalable Software Systems Institute of Systems Engineering Faculty of Electrical Engineering and Computer Science Leibniz University Hannover Hannover Germany
Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape routes, better orientation in exceptional situations, and... 详细信息
来源: 评论
AB1448 DIFFERENTIATION OF IMMUNE MEDIATED VERSUS NON IMMUNE MEDIATED RHEUMATIC DISEASES BY ONLINE SYMPTOM CHECKER IN REAL-WORLD PATIENTS – MULTIPLE DIAGNOSES AND PARTICULARLY FIBROMYALGIA IS A STUMBLING BLOCK
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Annals of the Rheumatic Diseases 2024年 83卷 2082-2083页
作者: L. Qin F. Zegers D. Selani E.B. Van den Akker R. Bos S. Le Cessie I. Gehring H.K. Glas M. Johannesson J. Knitza L. Mathsson-Alm M.J.T. Reinders E. Steyerberg A. Van Tubergen L.M. Verhoef B. Axnäs L. Klareskog R. Knevel Leiden University Medical Center Department of Rheumatology Leiden Netherlands Leiden University Medical Center Department of Biomedical Data Sciences Leiden Netherlands Delft University of Technology Department of Intelligent Systems Pattern Recognition and Bioinformatics Delft Netherlands Leiden University Medical Center Leiden Computational Biology Department of Biomedical Data Sciences Leiden Netherlands Delft University of Technology The Delft Bioinformatics Lab Pattern Recognition and Bioinformatics Delft Netherlands Medical Center Leeuwarden Department of Rheumatology Leeuwarden Netherlands Nij Smellinghe Hospital Department of Rheumatology Drachten Netherlands Leiden University Medical Center Department of Clinical Epidemiology Leiden Netherlands Thermo Fisher Scientific Freiburg Germany Reumazorg Zuid West Nederland Goes Netherlands Karolinska Institutet and Karolinska University Hospital Department of Medicine Solna Solna Sweden University Hospital of Giessen and Marburg Philipps-University Marburg Institute for Digital Medicine Marburg Germany Uppsala University Department of Immunology Genetics and Pathology Uppsala Sweden Thermo Fisher Scientific Uppsala Sweden University Medical Center Rotterdam Department of Public Health Rotterdam Netherlands Maastricht University Medical Center Department of Internal Medicine Division of Rheumatology Maastricht Netherlands Maastricht University Care and Public Health Research Institute (CAPHRI) Maastricht Netherlands Sint Maartenskliniek Research Department Ubbergen Netherlands Elsa Science Stockholm Sweden Karolinska Institutet and Karolinska University hospital Department of Medicine Solna Solna Sweden Newcastle University Translational and Clinical Research Institute Rheumatology Newcastle upon Tyne United Kingdom
Background: Rheumatic? is an online symptom checker developed collaboratively by designers, engineers, clinical experts and patients. It is designed to identify individuals at high risk of developing rheumatic disease...
来源: 评论
Bayesian Active Learning for Maximal Information Gain on Model Parameters
Bayesian Active Learning for Maximal Information Gain on Mod...
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International Conference on pattern recognition
作者: Kasra Arnavaz Aasa Feragen Oswin Krause Marco Loog DanStem University of Copenhagen DTU Compute Technical University of Denmark University of Copenhagen Pattern Recognition Laboratory Delft University of Technology
The fact that machine learning models, despite their advancements, are still trained on randomly gathered data is proof that a lasting solution to the problem of optimal data gathering has not yet been found. In this ... 详细信息
来源: 评论