Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Matthijs van Leeuwen"'
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 3, Iss 4, Pp 882-894 (2023)
Synthetic data generation is becoming an increasingly popular approach to making privacy-sensitive data available for analysis. Recently, cluster-based synthetic data generation (CBSDG) has been proposed, which uses explainable and tractable techniqu
Externí odkaz:
https://doaj.org/article/51eae3367d2a42d186b5d4b278168e18
Publikováno v:
Journal of Open Research Software, Vol 11, Iss 1, Pp 13-13 (2023)
We present WEARDA,1 the open source WEARable sensor Data Acquisition software package. WEARDA facilitates the acquisition of human activity data with smartwatches and is primarily aimed at researchers who require transparency, full control, and acces
Externí odkaz:
https://doaj.org/article/e854bda598ac4292be8253cf6f3c620d
Autor:
Marieke Vinkenoog, Maurice Steenhuis, Anja ten Brinke, J. G. Coen van Hasselt, Mart P. Janssen, Matthijs van Leeuwen, Francis H. Swaneveld, Hans Vrielink, Leo van de Watering, Franke Quee, Katja van den Hurk, Theo Rispens, Boris Hogema, C. Ellen van der Schoot
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Many studies already reported on the association between patient characteristics on the severity of COVID-19 disease outcome, but the relation with SARS-CoV-2 antibody levels is less clear. To investigate this in more detail, we performed a retrospec
Externí odkaz:
https://doaj.org/article/ec2b5ae379fd42f7bd85d45b6351dad5
Autor:
Hendrikus J. A. van Os, Lucas A. Ramos, Adam Hilbert, Matthijs van Leeuwen, Marianne A. A. van Walderveen, Nyika D. Kruyt, Diederik W. J. Dippel, Ewout W. Steyerberg, Irene C. van der Schaaf, Hester F. Lingsma, Wouter J. Schonewille, Charles B. L. M. Majoie, Silvia D. Olabarriaga, Koos H. Zwinderman, Esmee Venema, Henk A. Marquering, Marieke J. H. Wermer, the MR CLEAN Registry Investigators
Publikováno v:
Frontiers in Neurology, Vol 9 (2018)
Background: Endovascular treatment (EVT) is effective for stroke patients with a large vessel occlusion (LVO) of the anterior circulation. To further improve personalized stroke care, it is essential to accurately predict outcome after EVT. Machine l
Externí odkaz:
https://doaj.org/article/8cce69a862c041278574bf4341923564
Publikováno v:
Journal of the American Medical Informatics Association, 30(1), 16-25
JAMIA: A Scholarly Journal of Informatics in Health and Biomedicine, 30(1), 16-25. OXFORD UNIV PRESS
JAMIA: A Scholarly Journal of Informatics in Health and Biomedicine, 30(1), 16-25. OXFORD UNIV PRESS
Objective Privacy is a concern whenever individual patient health data is exchanged for scientific research. We propose using mixed sum-product networks (MSPNs) as private representations of data and take samples from the network to generate syntheti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::733f948ccbc41f890a8ffa69bdfac3e4
https://doi.org/10.1093/jamia/ocac184
https://doi.org/10.1093/jamia/ocac184
Publikováno v:
Data Mining and Knowledge Discovery, 36, 1885-1970
Data Mining and Knowledge Discovery, 36(5), 1885-1970. SPRINGER
Data Mining and Knowledge Discovery, 36(5), 1885-1970. SPRINGER
We introduce the problem of robust subgroup discovery, i.e., finding a set of interpretable descriptions of subsets that 1) stand out with respect to one or more target attributes, 2) are statistically robust, and 3) non-redundant. Many attempts have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b488318d0a08ec5b31dace4cdce2d5c
https://ir.cwi.nl/pub/32006
https://ir.cwi.nl/pub/32006
Publikováno v:
Engineering Optimization, 1-18. TAYLOR & FRANCIS LTD
STARTPAGE=1;ENDPAGE=18;TITLE=Engineering Optimization
STARTPAGE=1;ENDPAGE=18;TITLE=Engineering Optimization
In the context of optimization approaches to engineering applications, time-consuming simulations are often utilized which can be configured to deliver solutions for various levels of accuracy, commonly referred to as different fidelity levels. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6083fa188b9cffdffb37e20b5a755af
https://doi.org/10.1080/0305215x.2022.2052286
https://doi.org/10.1080/0305215x.2022.2052286
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb64f824298fc34788ff799bd5a5614
https://doi.org/10.1007/978-3-031-30047-9_27
https://doi.org/10.1007/978-3-031-30047-9_27
Autor:
Antonio Lopez-Martinez-Carrasco, Hugo M. Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf00f38d58f50192e393b1ddcd2c0b6
https://doi.org/10.1007/978-3-031-30047-9_21
https://doi.org/10.1007/978-3-031-30047-9_21
Autor:
Lincen Yang, Matthijs van Leeuwen
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddc183291adbdf1680f7deb797ff841c
https://doi.org/10.1007/978-3-031-26419-1_6
https://doi.org/10.1007/978-3-031-26419-1_6