Johansen, Dag | UiT (original) (raw)

• Ivan Andre Matias Do Vale Baptista, Pedro Figueiredo, Dag Johansen, Svein Arne Pettersen :
  Positional differences in peak- and accumulated-training load relative to match load in highly-trained female football players
  Frontiers in Sports and Active Living 01. April 2026 DOI / ARKIV

• Mehdi Houshmand Sarkhoosh, Frøy Øye, Henrik Nestor Sørlie, Nam Hoang Vu, Dag Johansen, Cise Midoglu et al.:
  ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts

• Aril Bernhard Ovesen, Mohsin Khan, Håvard Dagenborg, Dag Johansen :
  System Support for Accountable and Trusted Data Collection and Fog Processing in Remote Electronic Monitoring

• Bjørn Aslak Juliussen, Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Dag Johansen :
  Chapter 7: Digital Evidence in Times of Manipulation and Deepfakes – A Compliant and Integrity-Preserving File System

• Mohsin Khan, Håvard Dagenborg, Dag Johansen :
  Software Benchmarking of NIST Lightweight Hash Function Finalists on Resource-Constrained AVR Platform via ChipWhisperer
  International Conference on Security and Cryptography (SECRYPT) 2025 DOI / ARKIV

• Mohsin Khan, Elisavet Kozyri, Dag Johansen, Håvard Dagenborg :
  Survey of Lightweight Hardware-Based Hash Functions for Security in Constrained IoT Devices
  IEEE Access 17. September 2025 DOI / ARKIV

• Ivan Andre Matias Do Vale Baptista, Andreas Alexandersen, Andreas Kjæreng Winther, Dag Johansen, Svein Arne Pettersen :
  Effect of match load on perceived wellness in highly trained female football players

• Pegah Salehi, Sajad Amouei Sheshkal, Vajira L B Thambawita, Sushant Gautam, Saeed Shafiee Sabet, Dag Johansen et al.:
  Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
  Big Data and Cognitive Computing 2025 DOI / ARKIV

• Birk Sebastian Frostelid Torpmann-Hagen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen :
  Runtime Verification for Visual Deep Learning Systems With Loss Prediction

• Andreas Kjæreng Winther, Ivan Andre Matias Do Vale Baptista, Sigurd Pedersen, João Brito, Morten B. Randers, Dag Johansen et al.:
  An analysis of training load in highly trained female football players

• Enrico Tedeschi, Håvard Johansen Dagenborg, Dag Johansen, Øyvind Arne Moen Nohr :
  Mining Profitability in Bitcoin: Calculations of User-Miner Equilibria and Cost of Mining
  Lecture Notes in Computer Science (LNCS) 2024 DOI / ARKIV

• Cise Midoglu, Andreas Kjæreng Winther, Matthias Boeker, Susann Dahl Pettersen, Sigurd Pedersen, Nourhan Ragab et al.:
  A large-scale multivariate soccer athlete health, performance, and position monitoring dataset

• Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine Powell, Miriam S. Johnson, Dag Johansen et al.:
  A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills

• Ivan Andre Matias Do Vale Baptista, Andreas Kjæreng Winther, Dag Johansen, Svein Arne Pettersen :
  Analysis of peak locomotor demands in women’s football–the influence of different epoch lengths

• Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine Powell, Cayetana López Cano, Miriam S. Johnson et al.:
  Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment

• Birk Sebastian Frostelid Torpmann-Hagen, Michael Riegler, Pål Halvorsen, Dag Johansen :
  A Robust Framework for Distributional Shift Detection Under Sample-Bias

• Areeg Samir Ahmed Elgazazz, Håvard Dagenborg, Dag Johansen :
  QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes

• Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen :
  Developing with Compliance in Mind: Addressing Data Protection Law, Cybersecurity Regulation, and AI Regulation During Software Development
  IFIP Advances in Information and Communication Technology 2024 DOI / ARKIV

• Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Sabet, Tomas Kupka, Dag Johansen et al.:
  SmartCrop-H: AI-Based Cropping of Ice Hockey Videos

• Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Sabet, Tomas Kupka, Dag Johansen et al.:
  AI-Based Cropping of Soccer Videos for Different Social Media Representations

• Mohsin Khan, Håvard Johansen Dagenborg, Dag Johansen :
  Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor

• Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Michael Alexander Riegler et al.:
  AI-Based Cropping of Sport Videos Using SmartCrop
  International Journal of Semantic Computing (IJSC) 2024 DOI / ARKIV

• Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen et al.:
  AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations

• 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

• Michael Alexander Riegler, Vajira Thambawita, Thu Nguyen, Steven Alexander Hicks, Vibeke Telle-Hansen, Svein Arne Pettersen et al.:
  ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
  Lecture Notes in Computer Science (LNCS) 2023 DOI / ARKIV / ARKIV

• Andreas Alexandersen, Susann Dahl Pettersen, Dag Johansen :
  Quantifying athlete wellness: Investigating the predictive potential of subjective wellness reports through a player monitoring system
  Proceedings of the Institution of Mechanical Engineers. Part P, Journal of sports engineering and technology 2023 DOI / ARKIV

• 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

• Michael Alexander Riegler, Vajira Thambawita, Ayan Chatterjee, Thu Nguyen, Steven Hicks, Vibeke Telle-Hansen et al.:
  ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

• Ivan Andre Matias Do Vale Baptista, Andreas Kjæreng Winther, Sigurd Pedersen, Dag Johansen, Svein Arne Pettersen :
  The influence of age on the match-to-match variability of physical performance in women’s elite football
  Frontiers in Physiology 2023 DOI / ARKIV

• Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen :
  Algorithms that forget: Machine unlearning and the right to erasure
  Computer Law and Security Review 2023 DOI / ARKIV / ARKIV

• Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Johansen Dagenborg :
  Capturing Nutrition Data for Sports: Challenges and Ethical Issues

• 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

• Bjørn Aslak Juliussen, Elisavet Kozyri, Dag Johansen, Jon Petter Rui :
  The third country problem under the GDPR: Enhancing protection of data transfers with technology

• Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen :
  Sport and Nutrition Digital Analysis: A Legal Assessment
  Lecture Notes in Computer Science (LNCS) 29. March 2023 DOI / ARKIV

• Andreas Kjæreng Winther, Ivan Andre Matias Do Vale Baptista, Sigurd Pedersen, Morten Brendsgaard Randers Thomsen, Peter Krustrup, Dag Johansen et al.:
  Position specific physical performance and running intensity fluctuations in elite women's football
  Scandinavian Journal of Medicine & Science in Sports 2022 DOI / ARKIV

• Siarhei Kulakou, Nourhan Ragab, Cise Midoglu, Matthias Boeker, Dag Johansen, Michael Riegler et al.:
  Exploration of Different Time Series Models for Soccer Athlete Performance Prediction †
  Engineering Proceedings 2022 DOI / ARKIV

• Andreas Husa, Cise Midoglu, Malek Hammou, Steven Hicks, Dag Johansen, Tomas Kupka et al.:
  Automatic thumbnail selection for soccer videos using machine learning

• Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Hicks, Vajira L B Thambawita, Håvard D. Johansen et al.:
  Njord: a fishing trawler dataset

• Tor-Arne Schmidt Nordmo, Ove Kvalsvik, Svein Ove Kvalsund, Birte Hansen, Pål Halvorsen, Steven Hicks et al.:
  FishAI: Sustainable Commercial Fishing Challenge
  Nordic Machine Intelligence (NMI) 2022 DOI / ARKIV

• Birk Sebastian Frostelid Torpmann-Hagen, Dag Johansen :
  Runtime Verification and Evaluation of Visual Deep Learning Systems under Distributional Shift
  UiT Norges arktiske universitet 20. February 2026 ARKIV

• Pegah Salehi, Dag Johansen :
  Visual Realism in AI-Driven Virtual Training Environments for Child Investigative Interviews
  UiT Norges arktiske universitet 01. October 2025 ARKIV

• Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg, Dag Johansen :
  QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes

• Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Dagenborg :
  Capturing Nutrition Data for Sports: Challenges and Ethical Issues

• Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Dag Johansen :
  Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edge

• Dag Johansen, Håvard D. Johansen, Michael Riegler :
  Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet

• Bjørn Aslak Juliussen, Elisavet Kozyri, Jon Petter Rui, Dag Johansen :
  The Third Country Problem under the GDPR: Technology to the Rescue

• Håvard D. Johansen, Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen et al.:
  Sustainable commercial fishing: Digital inspectors to the rescue

• Michael Alexander Riegler, Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen et al.:
  Njord: An out-in-the-wild real world fish vessel catch analysis dataset

• Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen, Håvard D. Johansen et al.:
  Sustainable commercial fishing: Digital inspectors to the rescue
  Arctic Frontiers : Abstracts 2022 ARKIV

• Michael Alexander Riegler, Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen et al.:
  Njord: An out-in-the-wild real world fish vessel catch analysis dataset
  Arctic Frontiers : Abstracts 2022 ARKIV