Håvard Dagenborg
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
Mohsin Khan,
Håvard Johansen Dagenborg,
Dag Johansen
:
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
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
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
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
Misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments
Springer 2024 DOI
Aakash Sharma,
Katja Pauline Czerwinska,
Dag Johansen,
Håvard Johansen Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
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
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
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
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
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
Pietro Randine,
Aakash Sharma,
Gunnar Hartvigsen,
Håvard D. Johansen,
Eirik Årsand
:
Information and communication technology-based interventions for chronic diseases consultation: Scoping review
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
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
m.fl.:
Njord: a fishing trawler dataset
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
Aakash Sharma,
Thomas Bye Nilsen,
Katja Pauline Czerwinska,
Daria Onitiu,
Lars Brenna,
Dag Johansen
m.fl.:
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
m.fl.:
DeepSynthBody: the beginning of the end for data deficiency in medicine
IEEE conference proceedings 2021 DOI
Debesh Jha,
Sharib Ali,
Krister Emanuelsen,
Steven Hicks,
Vajira L B Thambawita,
Enrique Garcia-Ceja
m.fl.:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
Springer 2021 DOI
Nikhil Kumar Tomar,
Debesh Jha,
Sharib Ali,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
m.fl.:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Springer Nature 2021 DOI
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen
m.fl.:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
IEEE (Institute of Electrical and Electronics Engineers) 2021 DOI
Debesh Jha,
Anis Yazidi,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen,
Pål Halvorsen
:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Abhishek Srivastava,
Debesh Jha,
Sukalpa Chanda,
Umapada Pal,
Håvard D. Johansen,
Dag Johansen
m.fl.:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
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
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Håvard D. Johansen,
Dag Johansen,
Jens Rittscher
m.fl.:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
A Self-Configuration and Healing Controller To Analyze
Misconfigurations of Clusters and IoT Edge Devices
2023 ARKIV
Håvard Johansen Dagenborg
:
Data Collection, Privacy, and Data Security
2023
Aakash Sharma,
Katja Pauline Czerwinska,
Dag Johansen,
Håvard Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
2023 ARKIV
Areeg Samir Ahmed Elgazazz,
Håvard Johansen Dagenborg
:
Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices
2023 ARKIV
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
2023 ARKIV
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
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
Aakash Sharma,
Thomas Bye Nilsen,
Håvard D. Johansen
:
Compliant Sharing of Sensitive Data with Dataverse and Lohpi
2021 ARKIV
Nikhil Kumar Tomar,
Debesh Jha,
Sharib Ali,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
m.fl.:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
2021
Debesh Jha,
Sharib Ali,
Krister Emanuelsen,
Steven Hicks,
Vajira L B Thambawita,
Enrique Garcia-Ceja
m.fl.:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
2021
Debesh Jha,
Sharib Ali,
Nikhil Kumar Tomar,
Håvard D. Johansen,
Dag Johansen,
Michael Riegler
m.fl.:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
2021 FULLTEKST
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