Stefan Kutschera,
Wolfgang Slany,
Patrick Ratschiller,
Sarina Gursch,
Patrick Deininger,
Håvard Johansen Dagenborg
:
Incidental Data: A Survey towards Awareness on Privacy-Compromising Data Incidentally Shared on Social Media
Journal of Cybersecurity and Privacy (JCP) 2024
ARKIV /
DOI
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
Misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments
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,
Sigurd Pettersen,
Nourhan Ragab
et al.:
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
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
Mohsin Khan,
Håvard Johansen Dagenborg,
Dag Johansen
:
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
Areeg Samir Ahmed Elgazazz,
Håvard Dagenborg
:
A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration At IoT Edge Devices and Containerized Cluster System
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
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes
International Conference on Cloud Computing and Services Science (CLOSER) 2023
DOI
Aakash Sharma,
Katja Pauline Czerwinska,
Dag Johansen,
Håvard Johansen Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
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
Stefan Kutschera,
Wolfgang Slany,
Patrick Ratschiller,
Sarina Gursch,
Håvard Dagenborg
:
MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
Areeg Samir Ahmed Elgazazz,
Håvard D. Johansen
:
Technical Viewpoint of Challenges, Opportunities, and Future Directions of Policy Change and Information-Flow in Digital Healthcare Systems
International Academy, Research and Industry Association (IARIA) 2022
ARKIV
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
ARKIV /
DOI
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
IEEE Transactions on Neural Networks and Learning Systems 2022
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
Aakash Sharma,
Thomas Bye Nilsen,
Sivert Johansen,
Dag Johansen,
Håvard D. Johansen
:
Designing a Service for Compliant Sharing of Sensitive Research Data
Lecture Notes in Computer Science (LNCS) 2022
ARKIV /
DOI
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
Big Data and Cognitive Computing 2022
ARKIV /
DOI
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
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022
ARKIV /
DOI
Pietro Randine,
Aakash Sharma,
Gunnar Hartvigsen,
Håvard D. Johansen,
Eirik Årsand
:
Information and communication technology-based interventions for chronic diseases consultation: Scoping review
International Journal of Medical Informatics 2022
ARKIV /
DOI
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Håvard D. Johansen,
Dag Johansen,
Jens Rittscher
et al.:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
Debesh Jha,
Pia Smedsrud,
Dag Johansen,
Thomas de Lange,
Håvard D. Johansen,
Pål Halvorsen
et al.:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
IEEE Journal of Biomedical and Health Informatics 2021
ARKIV /
DOI
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
Frontiers in Big Data 13. May 2021
ARKIV /
DOI
Debesh Jha,
Sharib Ali,
Steven Hicks,
Vajira L B Thambawita,
Hanna Borgli,
Pia Smedsrud
et al.:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
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
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
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
Abhishek Srivastava,
Debesh Jha,
Sukalpa Chanda,
Umapada Pal,
Håvard D. Johansen,
Dag Johansen
et al.:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
IEEE Journal of Biomedical and Health Informatics 2021
ARKIV /
DOI
Areeg Samir Ahmed Elgazazz,
Abdo Al-Wosabi,
Mohsin Khan,
Håvard Johansen Dagenborg
:
A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices
Aakash Sharma,
Katja Pauline Czerwinska,
Dag Johansen,
Håvard Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
Håvard Johansen Dagenborg
:
Data Collection, Privacy, and Data Security
2023
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
A Self-Configuration and Healing Controller To Analyze
Misconfigurations of Clusters and IoT Edge Devices
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
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
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
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
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
Håvard D. Johansen,
Dag Johansen,
Areeg Samir Ahmed Elgazazz,
Thomas Bye Nilsen,
Aakash Sharma
:
Datainnsamling med personvern og datasikkerhet
2022
Dag Johansen,
Håvard D. Johansen,
Michael Riegler
:
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
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
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
Managing Healthcare Information Flow Within Multi-Cluster System in Distributed Environment: Challenges, Opportunities and Future Directions
International Conference on Cloud Computing and Services Science (CLOSER) 2022
Debesh Jha,
Nikhil Kumar Tomar,
Sharib Ali,
Michael A. Riegler,
Håvard D. Johansen,
Thomas de Lange
et al.:
NanoNet: Real-Time Polyp Segmentation in VideoCapsule Endoscopy and Colonoscopy
2021
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
et al.:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
Debesh Jha,
Sharib Ali,
Krister Emanuelsen,
Steven Hicks,
Vajira L B Thambawita,
Enrique Garcia-Ceja
et al.:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
2021
Aakash Sharma,
Thomas Bye Nilsen,
Håvard D. Johansen
:
Compliant Sharing of Sensitive Data with Dataverse and Lohpi
Aakash Sharma,
Thomas Bye Nilsen,
Lars Brenna,
Dag Johansen,
Håvard D. Johansen
:
Accountable Human Subject Research Data Processing using Lohpi