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 / ARKIVMehdi 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 BroadcastsAril Bernhard Ovesen, Mohsin Khan, Håvard Dagenborg, Dag Johansen :
System Support for Accountable and Trusted Data Collection and Fog Processing in Remote Electronic MonitoringBjørn 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 SystemMohsin 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 / ARKIVMohsin 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 / ARKIVIvan 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 playersPegah 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 / ARKIVBirk Sebastian Frostelid Torpmann-Hagen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen :
Runtime Verification for Visual Deep Learning Systems With Loss PredictionAndreas 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 playersEnrico 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 / ARKIVCise 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 datasetPegah 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 SkillsIvan 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 lengthsPegah 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 environmentBirk Sebastian Frostelid Torpmann-Hagen, Michael Riegler, Pål Halvorsen, Dag Johansen :
A Robust Framework for Distributional Shift Detection Under Sample-BiasAreeg Samir Ahmed Elgazazz, Håvard Dagenborg, Dag Johansen :
QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision ProcessesBjørn 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 / ARKIVSayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Sabet, Tomas Kupka, Dag Johansen et al.:
SmartCrop-H: AI-Based Cropping of Ice Hockey VideosMehdi 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 RepresentationsMohsin Khan, Håvard Johansen Dagenborg, Dag Johansen :
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM ProcessorSayed 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 / ARKIVMehdi 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 RepresentationsAril 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 NodesMichael 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 / ARKIVAndreas 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 / ARKIVTor-Arne Schmidt Nordmo, Michael Riegler, Håvard Johansen Dagenborg, Dag Johansen :
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country SkiersMichael 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 DatasetIvan 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 / ARKIVBjørn 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 / ARKIVAakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Johansen Dagenborg :
Capturing Nutrition Data for Sports: Challenges and Ethical IssuesTor-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 FishingBjørn Aslak Juliussen, Elisavet Kozyri, Dag Johansen, Jon Petter Rui :
The third country problem under the GDPR: Enhancing protection of data transfers with technologyBjørn 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 / ARKIVAndreas 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 / ARKIVSiarhei 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 / ARKIVAndreas Husa, Cise Midoglu, Malek Hammou, Steven Hicks, Dag Johansen, Tomas Kupka et al.:
Automatic thumbnail selection for soccer videos using machine learningTor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Hicks, Vajira L B Thambawita, Håvard D. Johansen et al.:
Njord: a fishing trawler datasetTor-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 / ARKIVBirk 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 ARKIVPegah Salehi, Dag Johansen :
Visual Realism in AI-Driven Virtual Training Environments for Child Investigative Interviews
UiT Norges arktiske universitet 01. October 2025 ARKIVAreeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg, Dag Johansen :
QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision ProcessesAakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Dagenborg :
Capturing Nutrition Data for Sports: Challenges and Ethical IssuesAril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Dag Johansen :
Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edgeDag Johansen, Håvard D. Johansen, Michael Riegler :
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitetBjørn Aslak Juliussen, Elisavet Kozyri, Jon Petter Rui, Dag Johansen :
The Third Country Problem under the GDPR: Technology to the RescueHåvard 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 rescueMichael 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 datasetDag 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 ARKIVMichael 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