Bjørn Magnus Mathisen
Table of Contents
My ORCID: 0000-0002-8063-1835
Summary
Reasearcher and doctoral candidate. Working with IDI and NTNU on decision support and monitoring of exposed infrastructure within the aquaculture industry in the SFI project EXPOSED. Simultaneouslyl working as a researcher for SINTEF ICT with applied artificial intelligence.
Supervision
Background
- MSc Artificial Intelligence and Machine Learning NTNU 2007. Thesis title “Evolving a roving eye for go” tried to use neuroevolution to create neural networks to play go mathisen2007evolving.
- Working as a computer scientist and researcher in Telenor (2007-2008,2009-2010), NTNU (2008-2009) and SINTEF (2010-2020).
Main interests
- Artificial Intelligence and Machine learning
- Biologically inspired methods.
- CBR & Explanation based methods
- Decision support systems
- Data Analytics
- Neuroscience
- Algorithms
- Large scale distributed systems
- Simulation
- Philosophy
myRESTCBR
Together with Kerstin Bach and Amar Jaiswal I have developed an extensionn to thr CBR platform myCBR. This extension exposes the functionality of myCBR and the myCBR workbench as a REST-API.
The code and documentation can be found at github and a usage example using a jupyter notebook can be found here
old projects
EXPOSED
http://exposedaquaculture.no/ I will apply artificial intelligence and machine learning methods to support management and operations of exposed aquaculture operations.
eSushi
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Publications
2021
- Using Extended Siamese Networks in a CBR System to Provide Decision Support in Aquaculture Operations mathisen2021using {BIBTEX} {PDF} (journal)
2020
- FishNet: A Unified Embedding for Salmon Recognition mathisen2020fishnet {BIBTEX} {PDF} (conference)
2019
- Learning Similarity Measures from data Mathisen2019 {BIBTEX} {PDF} (journal)
2017
- Data driven case base construction for prediction of success of marine operations mathisenWS2017 {PDF} {BIBTEX} (conference)
2016
- Defining the Initial Case-Base for a CBR Operator Support System in Digital Finishing wienhofen2016defining {BIBTEX} (conference)
- Empirical Big Data Research: A Systematic Literature Mapping (Submitted Preprint) v2 (https://arxiv.org/abs/1509.03045) CC-BY-NC-SA {BIBTEX} (preprint)
2015
- Empirical Big Data Research: A Systematic Literature Mapping (Submitted Preprint) (https://arxiv.org/abs/1509.03045) CC-BY-NC-SA (pre-print)
2014
- The Linked Data AppStore roman2014linked {BIBTEX} (conference)
2013
- Esums: A mobile system for continuous home monitoring of rehabilitation patients. strisland2013esums {BIBTEX} (conferencee)
- Social sub-group identification using social graph and semantic analysis {PDF} {BIBTEX} mathisen2013social (conference)
- A communication framework for the internet of people and things based on the concept of activity feeds in social computing vilarinho2013communication {BIBTEX} (conference)
2012
- Social network for elderly gulbrandsen2012social {PDF} {BIBTEX} (conference)
- Co-living social community for elderly mathisen2012co {PDF} {BIBTEX} (conference)
2007
- Master thesis: Evolving a roving-eye for go revisited mathisen2007evolving {PDF} {BIBTEX}
Contact information
email bjornmm at idi.ntnu.no
new pgp key
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old pgp
my old public key, can be found here, or copy pasted from here:
-----BEGIN PGP PUBLIC KEY BLOCK----- mQINBFKA1dgBEACu7njpxRwH/GzloSBy756ajtq4+KJZa+joK/+zypCzzh7iRNq2 4wyay0uq1fzVFr5d03G74G+Y6rVFiKVwuG9YIGK4qDTZwvwTnPKj9/XsQS68HWgA TcoBuVKC9PIT7jJAsaET3WkNw3oFuUiA2UbUYbajFwxFlttM/9mdS6npGE7HiUoo xRu0LJbH5b/04Kg1W1KUuk1UH9IpxMFeN+U7Cj+GF/eT3SAHKVOcbirZWGbuXrvL zyftahlUkCiaHrMSaERS7WUEenlYZixtp5gYB9D7DCpvCEr4VIZsbyR04Y2q9FZP zb1nEdE8SAxsd7Y0mFwPhwcLetX/Vg6cdMuFJ/y3KENipLrt6Q/vDIMO+szYYipM Wsjttm+LJ9KbzYlbDxBmlnEdTMaU/M7De0QuugdhZmNUDM1SLE9YW5yDehc14seX /FF5m65kADTbnEqupIA8ZOZe0yn6eodmyvLhj9q7NbFk8Uuz6OFSWIVFX8QguWoQ OQdb0cvOEnnrWISwR8GnPViGWr9pZgJEt15elExA19kSl7l/WIjCZyrRyos4m45l jlAc4Iv8nKD6I+ANRrYr6G0uT0bgqEJSOrz41Mpep2OL2veyPP0XRtmWhAMOvVFf 85Fkj1NLefNup7l7D5VYHvCkLreUpq8QKS64reiMVuOO/gpq+9yH16hwVQARAQAB tDpCasO4cm4gTWFnbnVzIE1hdGhpc2VuIChJREktTlROVS1OTykgPGJqb3JubW1A aWRpLm50bnUubm8+iQI9BBMBCAAnBQJWOMZ0AhsDBQkHhh+ABQsJCAcCBhUICQoL AgQWAgMBAh4BAheAAAoJEP/QTxC5FRRZEXAQAJe5fH629X+4to5EAZLW1MKOpn3s 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A subsidiary key that I use to authenticate with keybase is this one:
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