Dag Johansen
Pegah Salehi,
Syed Zohaib Hassan,
Gunn Astrid Baugerud,
Martine Powell,
Cayetana López Cano,
Miriam S. Johnson
m.fl.:
Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment
Association for Computing Machinery (ACM) 2024 DOI
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
Andreas Kjæreng Winther,
Ivan Andre Matias Do Vale Baptista,
Sigurd Pedersen,
João Brito,
Morten B. Randers,
Dag Johansen
m.fl.:
An analysis of training load in highly trained female football players
Mehdi Houshmand Sarkhoosh,
Sayed Mohammad Majidi Dorcheh,
Cise Midoglu,
Saeed Sabet,
Tomas Kupka,
Dag Johansen
m.fl.:
AI-Based Cropping of Soccer Videos for Different Social Media Representations
Springer 2024 DOI
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
Sayed Mohammad Majidi Dorcheh,
Mehdi Houshmand Sarkhoosh,
Cise Midoglu,
Saeed Sabet,
Tomas Kupka,
Dag Johansen
m.fl.:
SmartCrop-H: AI-Based Cropping of Ice Hockey Videos
Association for Computing Machinery (ACM) 2024 DOI
Pegah Salehi,
Syes Zohaib Hassan,
Gunn Astrid Baugerud,
Martine Powell,
Miriam Sinkerud Johnson,
Dag Johansen
m.fl.:
A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills
Mehdi Houshmand Sarkhoosh,
Sayed Mohammad Majidi Dorcheh,
Cise Midoglu,
Saeed Shafiee Sabet,
Tomas Kupka,
Dag Johansen
m.fl.:
AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations
Sayed Mohammad Majidi Dorcheh,
Mehdi Houshmand Sarkhoosh,
Cise Midoglu,
Saeed Shafiee Sabet,
Tomas Kupka,
Michael Alexander Riegler
m.fl.:
AI-Based Cropping of Sport Videos Using SmartCrop
International Journal of Semantic Computing (IJSC) 2024 DOI
Birk Sebastian Frostelid Torpmann-Hagen,
Michael Riegler,
Pål Halvorsen,
Dag Johansen
:
A Robust Framework for Distributional Shift Detection Under Sample-Bias
Cise Midoglu,
Andreas Kjæreng Winther,
Matthias Boeker,
Susann Dahl Pettersen,
Sigurd Pedersen,
Nourhan Ragab
m.fl.:
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
Mohsin Khan,
Håvard Johansen Dagenborg,
Dag Johansen
:
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
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
Mehdi Houshmand Sarkhoosh,
Sayed Mohammad Majidi Dorcheh,
Cise Midoglu,
Saeed Shafiei Sabet,
Tomas Kupka,
Dag Johansen
m.fl.:
AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations
Pegah Salehi,
Syed Zohaib Hassan,
Gunn Astrid Baugerud,
Martine Powell,
Miriam S. Johnson,
Dag Johansen
m.fl.:
A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills
Andreas Alexandersen,
Susann Dahl Pettersen,
Dag Johansen
:
Quantifying athlete wellness: Investigating the predictive potential of subjective wellness reports through a player monitoring system
Bjørn Aslak Juliussen,
Jon Petter Rui,
Dag Johansen
:
Sport and Nutrition Digital Analysis: A Legal Assessment
Bjørn Aslak Juliussen,
Elisavet Kozyri,
Dag Johansen,
Jon Petter Rui
:
The third country problem under the GDPR: Enhancing protection of data transfers with technology
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
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
Michael Alexander Riegler,
Vajira Thambawita,
Thu Nguyen,
Steven Alexander Hicks,
Vibeke Telle-Hansen,
Svein Arne Pettersen
m.fl.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Bjørn Aslak Juliussen,
Jon Petter Rui,
Dag Johansen
:
Algorithms that forget: Machine unlearning and the right to erasure
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
m.fl.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Aakash Sharma,
Katja Pauline Czerwinska,
Dag Johansen,
Håvard Johansen Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
Ivan Andre Matias Do Vale Baptista,
Andreas Kjæreng Winther,
Dag Johansen,
Morten Bredsgaard Randers Thomsen,
Sigurd Pedersen,
Svein Arne Pettersen
:
The variability of physical match demands in elite women's football
Lars Brenna,
Isak Sunde Singh,
Håvard D. Johansen,
Dag Johansen
:
TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments
Nikhil Kumar Tomar,
Debesh Jha,
Michael Riegler,
Håvard D. Johansen,
Dag Johansen,
Jens Rittscher
m.fl.:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Enrico Tedeschi,
Tor-Arne Schmidt Nordmo,
Dag Johansen,
Håvard D. Johansen
:
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
Siarhei Kulakou,
Nourhan Ragab,
Cise Midoglu,
Matthias Boeker,
Dag Johansen,
Michael Riegler
m.fl.:
Exploration of Different Time Series Models for Soccer Athlete Performance Prediction †
Andreas Husa,
Cise Midoglu,
Malek Hammou,
Steven Hicks,
Dag Johansen,
Tomas Kupka
m.fl.:
Automatic thumbnail selection for soccer videos using machine learning
Aakash Sharma,
Thomas Bye Nilsen,
Sivert Johansen,
Dag Johansen,
Håvard D. Johansen
:
Designing a Service for Compliant Sharing of Sensitive Research Data
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
Andreas Kjæreng Winther,
Ivan Andre Matias Do Vale Baptista,
Sigurd Pedersen,
Morten Brendsgaard Randers Thomsen,
Peter Krustrup,
Dag Johansen
m.fl.:
Position specific physical performance and running intensity fluctuations in elite women's football
Debesh Jha,
Ashish Rauniyar,
Håvard D. Johansen,
Dag Johansen,
Michael Alexander Riegler,
Pål Halvorsen
m.fl.:
Video Analytics in Elite Soccer: A Distributed Computing Perspective
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
Aakash Sharma,
Katja Pauline Czerwinska,
Dag Johansen,
Håvard Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
2023 ARKIV
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,
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
Dag Johansen,
Håvard D. Johansen,
Michael Riegler
:
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
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
Håvard D. Johansen,
Dag Johansen,
Areeg Samir Ahmed Elgazazz,
Thomas Bye Nilsen,
Aakash Sharma
:
Datainnsamling med personvern og datasikkerhet
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
Bjørn Aslak Juliussen,
Elisavet Kozyri,
Jon Petter Rui,
Dag Johansen
:
The Third Country Problem under the GDPR: Technology to the Rescue
2022
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Forskningsinteresser
Johansen leder det tverrfaglige Corpore Sano senteret som driver grunnforskning i spenningsfeltet mellom grunnleggende informatikk, idrettsvitenskap, medisin, helseteknologi og ernæringsvitenskap. Han er spesielt interessert i grunnleggende programvareløsninger som muliggjør sikker og feilfri databehandling i heterogene distribuerte systemer som inkluderer fra lette "Internet of Things" enheter og mobiltelefoner, til bakenforliggende stor-skala skyløsninger.