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Bilde av Nordmo, Tor-Arne Schmidt
Bilde av Nordmo, Tor-Arne Schmidt
Førsteamanuensis Institutt for informatikk tor-arne.s.nordmo@uit.no +4777644125 Her finner du meg

Tor-Arne Schmidt Nordmo

  • 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
    IEEE conference proceedings 2023 ARKIV / DOI
  • 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
    Springer 2023 ARKIV / DOI
  • Enrico Tedeschi, Tor-Arne Schmidt Nordmo, Dag Johansen, Håvard D. Johansen :
    On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
    ACM Transactions on Internet Technology 2022 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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
    ACM Publications 2022 ARKIV / DOI
  • 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
    Frontiers in medicine 2022 ARKIV / DOI
  • 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
    Big Data and Cognitive Computing 2022 ARKIV / DOI
  • 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
    Information 2021 ARKIV / DOI
  • 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
    IEEE International Conference on Big Data and Smart Computing 07. desember 2019 DATA / ARKIV / DOI
  • 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, 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
  • 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
  • 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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