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Stream-Based Active Learning for Regression with Dynamic Feature Selection
Technical University of Denmark, Department of Applied Mathematics and Computer Science; Norwegian University of Science and Technology, Department of Mathematical Sciences.
Norwegian University of Science and Technology, Department of Mathematical Sciences.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Technical University of Denmark, Department of Applied Mathematics and Computer Science.ORCID iD: 0000-0003-4222-9631
2023 (English)In: 2023 5th International Conference on Transdisciplinary AI (TransAI 2023), IEEE, 2023, p. 243-248Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023. p. 243-248
National Category
Computer and Information Sciences
Research subject
Quality Technology and Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-104461DOI: 10.1109/TransAI60598.2023.00030Scopus ID: 2-s2.0-85184815811OAI: oai:DiVA.org:ltu-104461DiVA, id: diva2:1842518
Conference
5th International Conference on Transdisciplinary AI (TransAI 2023), [Hybrid], Laguna Hills, United States, September 25-27, 2023.
Note

ISBN for host publication: 979-8-3503-5801-8;

Available from: 2024-03-05 Created: 2024-03-05 Last updated: 2024-03-05Bibliographically approved

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Külahci, Murat

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