Tor-Arne Schmidt Nordmo
Aril Bernhard Ovesen,
Tor-Arne Schmidt Nordmo,
Michael Alexander Riegler,
Pål Halvorsen,
Dag Johansen
:
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes
Springer 2024 DOI
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Håvard Dagenborg,
Pål Halvorsen,
Michael Alexander Riegler,
Dag Johansen
:
Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing
Tor-Arne Schmidt Nordmo,
Michael Riegler,
Håvard Johansen Dagenborg,
Dag Johansen
:
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
Enrico Tedeschi,
Tor-Arne Schmidt Nordmo,
Dag Johansen,
Håvard D. Johansen
:
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
Tor-Arne Schmidt Nordmo,
Ove Kvalsvik,
Svein Ove Kvalsund,
Birte Hansen,
Pål Halvorsen,
Steven Hicks
m.fl.:
FishAI: Sustainable Commercial Fishing Challenge
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven Hicks,
Vajira L B Thambawita,
Håvard D. Johansen
m.fl.:
Njord: a fishing trawler dataset
André Pedersen,
Erik Smistad,
Tor Vikan Rise,
Vibeke Grotnes Dale,
Henrik P Sahlin Pettersen,
Tor-Arne Schmidt Nordmo
m.fl.:
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images
Joakim Aalstad Alslie,
Aril Bernhard Ovesen,
Tor-Arne Schmidt Nordmo,
Håvard D. Johansen,
Pål Halvorsen,
Michael Riegler
m.fl.:
Áika: A Distributed Edge System for AI Inference
Tor-Arne Schmidt Nordmo,
Martine Espeseth,
Bjørn Aslak Juliussen,
Michael Alexander Riegler,
Dag Johansen
:
Detection of Commercial Fishing-related Slipping Events using Multimodal Data
IEEE (Institute of Electrical and Electronics Engineers) 2022 DOI
Aril Bernhard Ovesen,
Tor-Arne Schmidt Nordmo,
Håvard D. Johansen,
Michael Alexander Riegler,
Pål Halvorsen,
Dag Johansen
:
File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Håvard D. Johansen,
Michael Alexander Riegler,
Pål Halvorsen,
Dag Johansen
:
Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner
ACM Digital Library 2021 DOI
Enrico Tedeschi,
Tor-Arne Schmidt Nordmo,
Dag Johansen,
Håvard D. Johansen
:
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains
Tor-Arne Schmidt Nordmo
:
Dutkat - A Privacy-Preserving Edge-based System for Automatic Catch Documentation and Detection of Illegal Events
UiT Norges arktiske universitet 2023
Tor-Arne Schmidt Nordmo
:
Dutkat - A Privacy-Preserving Edge-based System for Automatic Catch Documentation and Detection of Illegal Events
2023
Tor-Arne Schmidt Nordmo
:
Presentasjon av eget arbeid for journalister
2023
Tor-Arne Schmidt Nordmo
:
Maritime Internet of Things - Architecture and machine learning techniques for ship intelligent decision support systems
2023
Tor-Arne Schmidt Nordmo
:
Utdanning og KI
2023
Tor-Arne Schmidt Nordmo
:
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
2023
Aril Bernhard Ovesen,
Tor-Arne Schmidt Nordmo,
Dag Johansen
:
Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edge
2023
Tor-Arne Schmidt Nordmo
:
Introduksjon til KI
2023
Tor-Arne Schmidt Nordmo,
Ove Kvalsvik,
Svein Ove Kvalsund,
Birte Hansen,
Pål Halvorsen,
Steven Hicks
m.fl.:
FishAI: Sustainable Commercial Fishing Challenge
Nordic Machine Intelligence (NMI) 2022 DOI
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven A. Hicks,
Vajira Thambawita,
Håvard D. Johansen
m.fl.:
Njord: A Fishing Trawler Dataset
2022
Michael Alexander Riegler,
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen
m.fl.:
Njord: An out-in-the-wild real world fish vessel catch analysis dataset
2022
Håvard D. Johansen,
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen
m.fl.:
Sustainable commercial fishing: Digital inspectors to the rescue
2022
Michael Alexander Riegler,
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen
m.fl.:
Njord: An out-in-the-wild real world fish vessel catch analysis dataset
Arctic Frontiers : Abstracts 2022
Dag Johansen,
Bjørn Aslak Juliussen,
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Pål Halvorsen,
Håvard D. Johansen
m.fl.:
Sustainable commercial fishing: Digital inspectors to the rescue
Arctic Frontiers : Abstracts 2022
Tor-Arne Schmidt Nordmo,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven A. Hicks,
Vajira Thambawita,
Håvard D. Johansen
m.fl.:
Njord: A Fishing Trawler Dataset
2022
Enrico Tedeschi,
Tor-Arne Schmidt Nordmo,
Dag Johansen,
Håvard D. Johansen
:
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains
2019
Tor-Arne Schmidt Nordmo,
Robert Pettersen,
Dag Johansen
:
Arctic HARE - Poster
2018
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INF-2600 Artificial Intelligence, Methods and Applications (Emneansvarlig og Foreleser)
INF-1600 Introduction to Artificial Intelligence (Emneansvarlig og Foreleser)