Marius Geitle

Faculty of Computer Sciences
Norwegian version of this page Position
Doctoral Research Fellow
Contact
+4769608112
Study place
Halden
Office nr.
-

Academic interests

  • Machine learning
  • Evolutionary optimization
  • Automatic programming

Teaching

  • ITL25019 Big Data: Storage and Processing - course leader
  • Supervisor for master projects within machine learning
  • Supervisor for projects within the subject ITI49114 Research project

Background

He received his Masters in Applied Computer Science from Østfold University College in 2017.

He has also worked on the development of systems for automating and outsourcing voucher processing, in addition to developing systems for organizing the work of journalists and photographers while at Exacta Software AS. Prior to that, he was responsible for the IT department at SMB Datadrift AS.

 

Projects

Publications

  • Shahraki, Amin; Geitle, Marius & Haugen, Øystein (2019). A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost, In Toni Perković (ed.),  2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech).  IEEE.  ISBN 978-953-290-091-0.  IOT.
  • Geitle, Marius & Olsson, Roland (2017). Improving competitive differential evolution using automatic programming, In Xiang Fei (ed.),  2017 4th International Conference on Systems and Informatics.  IEEE.  ISBN 978-1-5386-1107-4.  KAPITTEL.  s 538 - 545
  • Geitle, Marius & Olsson, Roland (2017). Using automatic programming to design improved variants of differential evolution, In Lam Thu Bui (ed.),  2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES).  IEEE.  ISBN 978-1-5386-0743-5.  KAPITTEL.  s 13 - 18

View all works in Cristin

  • Geitle, Marius (2019). Maskinlæring på Høgskolen i Østfold.
  • Shahraki, Amin; Geitle, Marius & Haugen, Øystein (2019). A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost.
  • Geitle, Marius (2018). Hva er Big Data - En introduksjon.
  • Geitle, Marius (2018). Hva er Big Data - En introduksjon.
  • Geitle, Marius (2018). Lære fra data - Muligheter og utfordringer med maskinlæring.
  • Geitle, Marius (2017). Hva er Big Data - En introduksjon.
  • Geitle, Marius & Olsson, Roland (2017). Improving competitive differential evolution using automatic programming.
  • Geitle, Marius & Olsson, Roland (2017). Using automatic programming to design improved variants of differential evolution.

View all works in Cristin

Published June 12, 2018 4:14 PM - Last modified Aug. 14, 2019 12:06 PM