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1دورية أكاديميةNegation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
المؤلفون: Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R. S. Arends, Miguel A. R. Rios, Saskia Haitjema
المصدر: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-20 (2023)
مصطلحات موضوعية: Natural language processing, Text mining, Negation detection, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1471-2105
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2دورية أكاديمية
المؤلفون: Chao Zhang, Shihan Wang, Erik Tjong Kim Sang, Marieke A. Adriaanse, Lars Tummers, Marijn Schraagen, Ji Qi, Mehdi Dastani, Henk Aarts
المصدر: Frontiers in Public Health, Vol 10 (2022)
مصطلحات موضوعية: COVID-19, social distancing, spatiotemporal analysis, public opinion, social media data, stance analysis, Public aspects of medicine, RA1-1270
وصف الملف: electronic resource
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3دورية أكاديمية
المصدر: Applied Sciences, Vol 13, Iss 7, p 4444 (2023)
مصطلحات موضوعية: quality estimation, SQUAD 2.0, machine translation, English to Dutch quality estimation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
وصف الملف: electronic resource
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4دورية أكاديمية
المصدر: Information, Vol 13, Iss 11, p 513 (2022)
مصطلحات موضوعية: question and answering, dataset, Squad 2.0, question and answering dataset creation, question and answering Dutch, human resource dataset, Information technology, T58.5-58.64
وصف الملف: electronic resource
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المؤلفون: Arister N. J. Yew, Marijn Schraagen, Willem M. Otte, Eric van Diessen
المصدر: Epilepsia. 64:292-305
مصطلحات موضوعية: Neurology, Neurology (clinical)
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المؤلفون: Mehdi Dastani, Marijn Schraagen, Erik Tjong Kim Sang, Shihan Wang
المصدر: 2021 IEEE 17th International Conference on eScience (eScience).
مصطلحات موضوعية: National health, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Computer science, business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Sentiment analysis, Pandemic, Social media, Public relations, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::13bb829f7739b7aea51756eeb418e638
https://doi.org/10.1109/escience51609.2021.00036 -
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المؤلفون: Marijn Schraagen, Floris Bex
المصدر: ICSC
مصطلحات موضوعية: Interpretation (logic), Dependency (UML), Computer science, business.industry, Feature extraction, Law enforcement, 06 humanities and the arts, 02 engineering and technology, 0603 philosophy, ethics and religion, computer.software_genre, Semantics, Relationship extraction, Support vector machine, 0202 electrical engineering, electronic engineering, information engineering, Task analysis, 020201 artificial intelligence & image processing, 060301 applied ethics, Artificial intelligence, business, computer, Natural language processing
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::117ce4ab541736fb1172bb919f213084
https://doi.org/10.1109/icosc.2019.8665497 -
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المؤلفون: Marijn Schraagen, Matthieu Brinkhuis, Floris Bex
المساهمون: Sub Intelligent Systems, LS Nederlandse taalkunde, Sub Software Production, Software Production, Intelligent Systems
المصدر: Matthieu J.S. Brinkhuis
Scopus-Elsevier
The Lensمصطلحات موضوعية: evaluation, crime reports, named entity recognition
وصف الملف: application/pdf; image/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0e3b0dfc99e62927ae3ec225911d3e8c
https://dspace.library.uu.nl/handle/1874/429601 -
9كتاب إلكتروني
المؤلفون: Gerrit Bloothooft, Peter Christen, Kees Mandemakers, Marijn Schraagen
نوع المادة: eBook.
الموضوعات: Population research, Demography, Demography--Methodology
تصنيفات: SOCIAL SCIENCE / Demography, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, HISTORY / General, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General, LITERARY CRITICISM / General, MATHEMATICS / Probability & Statistics / General, SOCIAL SCIENCE / Statistics
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المؤلفون: Marijn Schraagen, Walter A. Kosters
المصدر: Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319089782
MLDMمصطلحات موضوعية: Computer science, Graph (abstract data type), Edit distance, Data mining, computer.software_genre, computer, Record linkage
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9a08c784491058c7dde00c0359ada2e1
https://doi.org/10.1007/978-3-319-08979-9_36