Zobrazeno 1 - 10 of 115 pro vyhledávání: '"Joost, Visser"'
1
Report
Combining Retrieval and Classification: Balancing Efficiency and Accuracy in Duplicate Bug Report Detection
Autor: Meng, Qianru, Zhang, Xiao, Ramackers, Guus, Joost, Visser
In the realm of Duplicate Bug Report Detection (DBRD), conventional methods primarily focus on statically analyzing bug databases, often disregarding the running time of the model. In this context, complex models, despite their high accuracy potentia
Externí odkaz: http://arxiv.org/abs/2404.14877
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4
Akademický článek
Computer Aided Verification of Relational Models by Strategic Rewriting
Autor: Claudia Mónica Necco, José N. Oliveira, Joost Visser, Roberto Uzal
Publikováno v: Journal of Computer Science and Technology, Vol 17, Iss 02, Pp e19-e19 (2017)
Binary relational algebra provides semantic foundations for major areas of computing, such as database design, state-based modeling and functional programming. Remarkably, static checking support in these areas fails to exploit the full semantic cont
Externí odkaz: https://doaj.org/article/188c93c65ac24d98ada5ad2e16a6cc09
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5
The State of Software Engineering Practices for Machine Learning
Autor: Alex Serban, Koen van der Blom, Holger Hoos, Joost Visser
Machine learning (ML) is extensively used in production-ready applications, calling for mature engineering techniques to ensure robustdevelopment, deployment and maintenance. Given the potential negative impact ML can have on people, society or the e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151449702bf9a9d70ac0735e755fb184
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6
The World is Eating Your Software
Autor: Joost Visser
Publikováno v: Cutter Business Technology Journal, 32, 7, pp. 10-14
Scopus-Elsevier
Cutter Business Technology Journal, 32, 10-14
Item does not contain fulltext
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7c4a46a1dee554000a0ee24fdf5972e2
https://hdl.handle.net/2066/209244
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7
Practices for Engineering Trustworthy Machine Learning Applications
Autor: Alex Serban, Koen van der Blom, Joost Visser, Holger H. Hoos
Publikováno v: WAIN 2021: 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI, Virtual (originally Madrid, Spain), 97-100. Los Alamitos : IEEE
STARTPAGE=97;ENDPAGE=100;TITLE=WAIN 2021: 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI, Virtual (originally Madrid, Spain)
WAIN 2021: 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI, Virtual (originally Madrid, Spain), pp. 97-100
2021 IEEE/ACM 1st Workshop on AI engineering-software engineering for AI (WAIN), 97-100. IEEE
STARTPAGE=97;ENDPAGE=100;TITLE=2021 IEEE/ACM 1st Workshop on AI engineering-software engineering for AI (WAIN)
WAIN@ICSE
Following the recent surge in adoption of machine learning (ML), the negative impact that improper use of ML can have on users and society is now also widely recognised. To address this issue, policy makers and other stakeholders, such as the Europea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::330c544c4e8f0621ffc75467ae0dee78
http://hdl.handle.net/2066/240094
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8
The Impact of Agile Transformations on Organizational Performance: A Survey of Teams, Programs and Portfolios
Autor: Joost Visser, Victor van Els, Job Croonenberg, Christoph Johann Stettina
Publikováno v: Lecture Notes in Business Information Processing ISBN: 9783030780975
XP
While many organizations embark on agile transformations, they can lack insight into the actual impact of these transformations across organizational layers. In this paper, we collect new and study existing evidence on the impact of agile transformat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07cd649bba85631e6f5a9b1dc819d215
https://doi.org/10.1007/978-3-030-78098-2_6
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9
Adapting Software Architectures to Machine Learning Challenges
Autor: Alex Serban, Joost Visser
Publikováno v: SANER 2022: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, Virtual Conference 15-18 March 2022. Proceedings, 152-163. Los Alamitos : IEEE
STARTPAGE=152;ENDPAGE=163;ISSN=1534-5351;TITLE=SANER 2022: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, Virtual Conference 15-18 March 2022. Proceedings
SANER 2022: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, Virtual Conference 15-18 March 2022. Proceedings, pp. 152-163
Unique developmental and operational characteristics of ML components as well as their inherent uncertainty demand robust engineering principles are used to ensure their quality. We aim to determine how software systems can be (re-) architected to en
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::340a1f4437ef403b11611b873a2131fd
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10
A Checklist for Explainable AI in the Insurance Domain
Autor: Ruud Kosman, Joost Visser, Olivier Koster
Publikováno v: Communications in Computer and Information Science ISBN: 9783030853464
QUATIC
Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including the insurance domain. With that power arise several complications. On
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b66359e541f525cd1be31713f5b6a44
https://doi.org/10.1007/978-3-030-85347-1_32
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