Bjørn Magnus Mathisen
Background and activities
PhD candidate within Artificial Intelligence and Machine Learning.
Forskningsområde
Main areas of intereset is Artificial Intelligence and Machine Learning.
More specifically:
- Biologically inspired methods.
- CBR & Explanation based methods
- Decision support systems
- Machine Learning
Research group: Intelligente systemer
More information: http://folk.ntnu.no/bjornmm
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2021) Using extended siamese networks to provide decision support in aquaculture operations. Applied intelligence (Boston).
- (2019) Demonstrating the myCBR Rest API. CEUR Workshop Proceedings. vol. 2567.
- (2019) Use case applying machine-learning techniques for improving operation of the distribution network. CIRED Conference Proceedings.
- (2019) Learning similarity measures from data. Progress in Artificial Intelligence.
- (2017) Data driven case base construction for prediction of success of marine operations. CEUR Workshop Proceedings. vol. 2028.
- (2016) Defining the initial case-base for a CBR operator support system in digital finishing A methodological knowledge acquisition approach. Lecture Notes in Computer Science (LNCS). vol. 9969 (1).
- (2014) An Overview of the Linked Data AppStore. CEUR Workshop Proceedings. vol. 1312.
- (2013) ESUMS: A mobile system for continuous home monitoring of rehabilitation patients. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. vol. 35th.
- (2012) Smart Jacket as a Collaborative Tangible User Interface in Crisis Management. CEUR Workshop Proceedings. vol. 953.
- (2012) Social Network for Elderly. Lecture Notes in Informatics. vol. 204.
- (2012) Co-Living Social Community for Elderly. Lecture Notes in Informatics. vol. 204.
Part of book/report
- (2020) FishNet: A Unified Embedding for Salmon Recognition. 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020).
- (2014) The Linked Data AppStore - A Software-as-a-Service Platform Prototype for Data Integration on the Web. Mining Intelligence and Knowledge Exploration - Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings.
- (2014) A Usability Study of a Mobile Monitoring System for Congestive Heart Failure Patients. e-Health – For Continuity of Care.
- (2013) Social Sub-Group Identification Using Social Graph and Semantic Analysis. Workshop Proceedings of the 9th International Conference on Intelligent Environments.
- (2013) A Communication Framework for the Internet of People and Things Based on the Concept of Activity Feeds in Social Computing. 9th International Conference on Intelligent Environments (IE, 2013, Athens, Greece, 16-17 July 2013.
Report/dissertation
- (2021) Using similarity learning to enable decision support in aquaculture. 2021. ISBN 978-82-326-5625-7. Doctoral theses at NTNU (331).
- (2020) På leting etter utenlandsk informasjonspåvirkning En analyse av det norske kommunestyre- og fylkestingsvalget 2019 (Rapport på oppdrag fra Kommunal- og moderniseringsdepartementet). 2020. ISBN 978-82-14-06304-2.
- (2019) På leting etter utenlandsk informasjonspåvirkning. En analyse av det norske kommunestyre- og fylkestingsvalget 2019. SINTEF rapport 2019:01292. 2019. ISBN 978-82-14-06304-2. SINTEF Rapport (2019:01292).
- (2019) Use case for future (2030-2040) smart distribution grid operation (CINELDI-report 02:2019). 2019. ISBN 978-82-594-3778-5.