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2019
1 Geitle, Marius.
Maskinlæring på Høgskolen i Østfold. Ordførerens frokostmøte; 2019-02-13 - 2019-02-13
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2 Shahraki, Amin; Geitle, Marius; Haugen, Øystein.
A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost. 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech); 2019-06-18 - 2019-06-21
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3 Shahraki, Amin; Geitle, Marius; Haugen, Øystein.
A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost. I: 2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech). IEEE 2019 ISBN 978-953-290-091-0. s. -
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2018
4 Geitle, Marius.
Hva er Big Data - En introduksjon. Big Data Executive; 2018-03-07 - 2018-03-07
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5 Geitle, Marius.
Hva er Big Data - En introduksjon. Big Data Executive; 2018-10-02 - 2018-10-02
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6 Geitle, Marius.
Lære fra data - Muligheter og utfordringer med maskinlæring. Kurs i Big Data Analytics – 2 + 2 dager; 2018-04-11 - 2018-04-11
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2017
7 Geitle, Marius.
Hva er Big Data - En introduksjon. Big Data Executive; 2017-03-06 - 2017-03-06
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8 Geitle, Marius; Olsson, Roland.
Improving competitive differential evolution using automatic programming. 2017 4th International Conference on Systems and Informatics (ICSAI); 2017-11-11 - 2017-11-13
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9 Geitle, Marius; Olsson, Roland.
Using automatic programming to design improved variants of differential evolution. 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems; 2017-11-15 - 2017-11-17
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10 Geitle, Marius; Olsson, Roland.
Improving competitive differential evolution using automatic programming. I: 2017 4th International Conference on Systems and Informatics. IEEE 2017 ISBN 978-1-5386-1107-4. s. 538-545
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11 Geitle, Marius; Olsson, Roland.
Using automatic programming to design improved variants of differential evolution. I: 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES). IEEE 2017 ISBN 978-1-5386-0743-5. s. 13-18
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