Výsledky vyhledávání - "Ander de Keijzer"

Akademický článek

The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review

Autor: Laura Swinckels, Frank C Bennis, Kirsten A Ziesemer, Janneke F M Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers

Publikováno v: Journal of Medical Internet Research, Vol 26, p e48320 (2024)

BackgroundElectronic health records (EHRs) contain patients’ health information over time, including possible early indicators of disease. However, the increasing amount of data hinders clinicians from using them. There is accumulating evidence sug

Externí odkaz: https://doaj.org/article/75e23362f2e34472934d36462c70a8b5

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Akademický článek

Application of YOLOv8 and Detectron2 for Bullet Hole Detection and Score Calculation from Shooting Cards

Autor: Marya Butt, Nick Glas, Jaimy Monsuur, Ruben Stoop, Ander de Keijzer

Publikováno v: AI, Vol 5, Iss 1, Pp 72-90 (2023)

Scoring targets in shooting sports is a crucial and time-consuming task that relies on manually counting bullet holes. This paper introduces an automatic score detection model using object detection techniques. The study contributes to the field of c

Externí odkaz: https://doaj.org/article/9c99d5de72314f8f807417e78e3fb2b1

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Akademický článek

Using Transfer Learning to Train a Binary Classifier for Lorrca Ektacytometery Microscopic Images of Sickle Cells and Healthy Red Blood Cells

Autor: Marya Butt, Ander de Keijzer

Publikováno v: Data, Vol 7, Iss 9, p 126 (2022)

Multiple blood images of stressed and sheared cells, taken by a Lorrca Ektacytometery microscope, needed a classification for biomedical researchers to assess several treatment options for blood-related diseases. The study proposes the design of a mo

Externí odkaz: https://doaj.org/article/4b29a6d919f14017913c852ddee847b9

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A Scoping Review on the Use of Machine Learning on Longitudinal Electronic Health Records for Early Detection and Prevention of Diseases. (Preprint)

Autor: Laura Swinckels, Frank Bennis, Kirsten A. Ziesemer, Janneke F.M. Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers

BACKGROUND Electronic Health Records (EHRs) contain information on many risk- and preventive factors and early signs, which can be used for prevention of diseases. However, the accumulating volume and variety of EHRs over time, makes it impossible fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e774fbe84145ee020f7bfc50ef19dbe
https://doi.org/10.2196/preprints.48320

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The impact of computer‐mediated immediate feedback on developing oral presentation skills: An exploratory study in virtual reality

Autor: Dominic Ruiz, Asko Mononen, Jirarat Sitthiworachart, Stan van Ginkel, Cendel Karaman, Ander de Keijzer

Publikováno v: Journal of computer assisted learning, 2020(1-11). Wiley

From the article: "AbstractFeedback plays a central role in learning. Crucial to this is the nature and timing ofthe feedback. This experimental study explores the efficacy of immediate computer-mediated feedback within a virtual reality environment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e109e87de19c824b5441daac74614f0b
https://doi.org/10.1111/jcal.12424

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Implementation of an ICT Curriculum

Autor: Esther van der Stappen, Leo van Moergestel, Ander de Keijzer

Publikováno v: Information and Communication Technologies in Education, Research, and Industrial Applications ISBN: 9783319699646

This paper describes the process of redesigning a computer science (CS) curriculum and introducing blended learning in an CS educational program. The methodology that has been used as well as the motivation for the choices made are given. The first r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7973495f908e389101ca2901813fc292
https://doi.org/10.1007/978-3-319-69965-3_7

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Qualitative Effects of Knowledge Rules and User Feedback in Probabilistic Data Integration

Autor: Maurice van Keulen, Ander de Keijzer

Publikováno v: VLDB journal, 18(5):10.1007/s00778-009-0156-z, 1191-1217. Springer

In data integration efforts, portal development in particular, much development time is devoted to entity resolution. Often advanced similarity measurement techniques are used to remove semantic duplicates or solve other semantic conflicts. It proves

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78779922f31952f0dc6110560d0ee421
https://doi.org/10.1007/s00778-009-0156-z

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Duplicate detection in probabilistic data

Autor: Maurice van Keulen, Norbert Ritter, Ander de Keijzer, Fabian Panse

Publikováno v: ICDE Workshops
Proceedings of the 2nd International Workshop on New Trends in Information Integration (NTII 2010), 179-182
STARTPAGE=179;ENDPAGE=182;TITLE=Proceedings of the 2nd International Workshop on New Trends in Information Integration (NTII 2010)
None

Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic databases, an integration of probabilistic data has to be performed. Until now, h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97e0b16f80ddfd0ec75af9e81aab7cc
https://doi.org/10.1109/icdew.2010.5452759

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Compression of Probabilistic XML Documents

Autor: Irma Veldman, Maurice van Keulen, Ander de Keijzer

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642043871
SUM
Proceedings of the 3rd International Conference on Scalable Uncertainty Management (SUM2009), 255-267
STARTPAGE=255;ENDPAGE=267;TITLE=Proceedings of the 3rd International Conference on Scalable Uncertainty Management (SUM2009)
ISSUE=3;STARTPAGE=255;ENDPAGE=267;TITLE=3rd International Conference on Scalable Uncertainty Management 2009

Database techniques to store, query and manipulate data that contains uncertainty receives increasing research interest. Such UDBMSs can be classified according to their underlying data model: relational, XML, or RDF. We focus on uncertain XML DBMS w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038a5649aafaa8d789aa4c9034c469d9
https://doi.org/10.1007/978-3-642-04388-8_20

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Management of Uncertain Data - towards unattended integration

Autor: Ander de Keijzer

In recent years, the need to support uncertain data has increased. Sensor applications, for example, are dealing with the inherent uncertainty about the readings of the sensors. Current database management systems are not equipped to deal with this u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8209c6260b7554870d41ad9496332972
https://doi.org/10.3990/1.9789036526197

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