Håvard Dagenborg
Professor
Arbeidsområder
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
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
ACM Publications 2022 DOI
Tor-Arne Schmidt Nordmo,
Ove Kvalsvik,
Svein Ove Kvalsund,
Birte Hansen,
Pål Halvorsen,
Steven Hicks
m.fl.:
FishAI: Sustainable Commercial Fishing Challenge
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
Enrico Tedeschi,
Tor-Arne Schmidt Nordmo,
Dag Johansen,
Håvard D. Johansen
:
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
Debesh Jha,
Michael Riegler,
Håvard D. Johansen,
Dag Johansen,
Jens Rittscher,
Pål Halvorsen
m.fl.:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Aakash Sharma,
Thomas Bye Nilsen,
Sivert Johansen,
Dag Johansen,
Håvard D. Johansen
:
Designing a Service for Compliant Sharing of Sensitive Research Data
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
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
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
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
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,
Anis Yazidi,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen,
Pål Halvorsen
:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Springer Nature 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
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
Debesh Jha,
Steven Hicks,
Krister Emanuelsen,
Håvard D. Johansen,
Dag Johansen,
Thomas de Lange
m.fl.:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
2020
Håvard D. Johansen,
Dag Johansen,
Tomas Kupka,
Michael Riegler,
Pål Halvorsen
:
Scalable Infrastructure for Efficient Real-Time Sports Analytics
Association for Computing Machinery (ACM) 2020 DOI
Debesh Jha,
Michael Alexander Riegler,
Dag Johansen,
Pål Halvorsen,
Håvard D. Johansen
:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
IEEE International Symposium on Computer-Based Medical Systems 2020 DOI
Vajira Lasantha Bandara Thambawita,
Debesh Jha,
Hugo Lewi Hammer,
Håvard D. Johansen,
Dag Johansen,
Pål Halvorsen
m.fl.:
An extensive study on cross-dataset bias and evaluation metrics interpretation for machine learning applied to gastrointestinal tract abnormality classification
ACM Transactions on Computing for Healthcare (HEALTH) 22. juni 2020 DOI
Aakash Sharma,
Katja P Czerwinska,
Lars Brenna,
Dag Johansen,
Håvard D. Johansen
:
Privacy Perceptions and Concerns in Image-Based Dietary Assessment Systems: Questionnaire-Based Study
Svein Arne Pettersen,
Håvard D. Johansen,
Ivan Andre Matias Do Vale Baptista,
Pål Halvorsen,
Dag Johansen
:
Quantified Soccer Using Positional Data: A Case Study
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
Aakash Sharma,
Katja P Czerwinska,
Dag Johansen,
Håvard Dagenborg
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
2023
Dag Johansen,
Håvard D. Johansen,
Michael Riegler
:
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
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
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,
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
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,
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
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
Håvard D. Johansen,
Dag Johansen,
Tomas Kupka,
Michael Riegler,
Pål Halvorsen
:
Scalable Infrastructure for Efficient Real-Time Sports Analytics
2020
Debesh Jha,
Anis Yazidi,
Michael Alexander Riegler,
Dag Johansen,
Håvard D. Johansen,
Pål Halvorsen
:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
2020
Jørn K Myreng,
Håvard D. Johansen,
Jon Petter Rui
:
UiT-professor skeptisk til smitte-appen: – Råder alle til å sette seg inn i hvordan den fungerer
17. april 2020
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