Håvard Dagenborg
Professor
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
Aakash Sharma,
Katja P 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
Springer 2023
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
Areeg Samir Ahmed Elgazazz,
Håvard Dagenborg
:
A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration At IoT Edge Devices and Containerized Cluster System
Proceedings of the International Conference on Information Systems Security and Privacy (ICISSP) 2023 ARKIV
Pietro Randine,
Aakash Sharma,
Gunnar Hartvigsen,
Håvard D. Johansen,
Eirik Årsand
:
Information and communication technology-based interventions for chronic diseases consultation: Scoping review
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
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,
Aril Bernhard Ovesen,
Bjørn Aslak Juliussen,
Steven Hicks,
Vajira L B Thambawita,
Håvard D. Johansen
m.fl.:
Njord: a fishing trawler dataset
Tor-Arne Schmidt Nordmo,
Ove Kvalsvik,
Svein Ove Kvalsund,
Birte Hansen,
Pål Halvorsen,
Steven Hicks
m.fl.:
FishAI: Sustainable Commercial Fishing Challenge
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
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
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
Debesh Jha,
Anis Yazidi,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen,
Pål Halvorsen
:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
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
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
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
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
Debesh Jha,
Pia Smedsrud,
Dag Johansen,
Thomas de Lange,
Håvard D. Johansen,
Pål Halvorsen
m.fl.:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
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
Debesh Jha,
Sharib Ali,
Steven Hicks,
Vajira L B Thambawita,
Hanna Borgli,
Pia Smedsrud
m.fl.:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
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
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
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
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
Areeg Samir Ahmed Elgazazz,
Håvard D. Johansen
:
Managing Healthcare Information Flow Within Multi-Cluster System in Distributed Environment: Challenges, Opportunities and Future Directions
SciTePress 2020
Debesh Jha,
Pia Smedsrud,
Michael Riegler,
Pål Halvorsen,
Thomas de Lange,
Dag Johansen
m.fl.:
Kvasir-SEG: A segmented polyp dataset
Areeg Samir Ahmed Elgazazz,
Håvard Dagenborg
:
Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes
SciTePress 2023
Aakash Sharma,
Katja P 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
Håvard Johansen Dagenborg
:
Data Collection, Privacy, and Data Security
2023
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
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
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
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
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
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
Dag Johansen,
Håvard D. Johansen,
Michael Riegler
:
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
2022
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,
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
Aakash Sharma,
Thomas Bye Nilsen,
Lars Brenna,
Dag Johansen,
Håvard D. Johansen
:
Accountable Human Subject Research Data Processing using Lohpi
2021 ARKIV
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,
Nikhil Kumar Tomar,
Sharib Ali,
Michael A. Riegler,
Håvard D. Johansen,
Thomas de Lange
m.fl.:
NanoNet: Real-Time Polyp Segmentation in VideoCapsule Endoscopy and Colonoscopy
2021
Aakash Sharma,
Thomas Bye Nilsen,
Håvard D. Johansen
:
Compliant Sharing of Sensitive Data with Dataverse and Lohpi
2021 ARKIV
Debesh Jha,
Smedsrud Pia H,
Michael Riegler,
Pål Halvorsen,
Thomas de Lange,
Dag Johansen
m.fl.:
Kvasir-SEG: A Segmented Polyp Dataset
2020
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