Dag Johansen
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
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
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
Mohsin Khan,
Håvard Johansen Dagenborg,
Dag Johansen
:
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
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
Association for Computing Machinery (ACM) 2024 DOI
Birk Sebastian Frostelid Torpmann-Hagen,
Michael Riegler,
Pål Halvorsen,
Dag Johansen
:
A Robust Framework for Distributional Shift Detection Under Sample-Bias
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
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
IEEE Access 2024 DOI
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
Cise Midoglu,
Andreas Kjæreng Winther,
Matthias Boeker,
Susann Dahl Pettersen,
Nourhan Ragab,
Tomas Kupka
et al.:
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
Scientific Data 2024 DOI
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
IEEE Access 2024 DOI
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
et al.:
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
et al.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
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
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
et al.:
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
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
et al.:
FishAI: Sustainable Commercial Fishing Challenge
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
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
Debesh Jha,
Ashish Rauniyar,
Håvard D. Johansen,
Dag Johansen,
Michael Alexander Riegler,
Pål Halvorsen
et al.:
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
et al.:
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
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 †
Andreas Husa,
Cise Midoglu,
Malek Hammou,
Steven Hicks,
Dag Johansen,
Tomas Kupka
et al.:
Automatic thumbnail selection for soccer videos using machine learning
Pia Smedsrud,
Vajira L B Thambawita,
Steven Hicks,
Henrik Gjestang,
Oda Olsen Nedrejord,
Espen Næss
et al.:
Kvasir-Capsule, a video capsule endoscopy dataset
Aakash Sharma,
Thomas Bye Nilsen,
Katja Pauline Czerwinska,
Daria Onitiu,
Lars Brenna,
Dag Johansen
et al.:
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies
Vajira L B Thambawita,
Steven Hicks,
Jonas L Isaksen,
Mette H. Stensen,
Trine B. Haugen,
Jørgen K Kanters
et al.:
DeepSynthBody: the beginning of the end for data deficiency in medicine
IEEE conference proceedings 2021 DOI
Sigurd Pedersen,
Dag Johansen,
Andrea Casolo,
Morten Brendsgaard Randers Thomsen,
Svein Arne Pettersen,
Edvard Hamnvik Sagelv
et al.:
Maximal Strength, Sprint, and Jump Performance in High-Level Female Football Players Are Maintained With a Customized Training Program During the COVID-19 Lockdown
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,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven A. Hicks,
Vajira Thambawita,
Håvard D. Johansen
et al.:
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
et al.:
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
et al.:
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
et al.:
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
et al.:
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
et al.:
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
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
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Research interests
Johansen is directing the inter-disciplinary Corpore Sano Centre, a centre at the intersection of computer science, medicine, health, sport science, and nutritional science. He is particularly interested in next generation trustworthy run-times and analytics systems for hybrid and multi-cloud computing environments.
