Robert Jenssen
Professor / Machine Learning / Centre Leader Visual Intelligence
Job description
Director, SFI Visual Intelligence. Visual Intelligence is a Centre for Research-based Innovation funded by the Research Council of Norway and a consortium of private and public partners. We are at the international forefront in deep learning research for complex image analysis. Please see
Twitter: @SFI_VI
Professor and Head of the UiT Machine Learning Group. Please see
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Robert Jenssen
et al.:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
IEEE Transactions on Neural Networks and Learning Systems 2022 DOI
Robert Jenssen
:
rtg
Pattern Recognition 2022
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Karl Øyvind Mikalsen,
Robert Jenssen
:
Mixing up contrastive learning: Self-supervised representation learning for time series
Rogelio Andrade Mancisidor,
Michael Kampffmeyer,
Kjersti Aas,
Robert Jenssen
:
Generating customer's credit behavior with deep generative models
Stine Hansen,
Srishti Gautam,
Robert Jenssen,
Michael Kampffmeyer
:
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
Qinghui Liu,
Michael Kampffmeyer,
Robert Jenssen,
Arnt Børre Salberg
:
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
International Journal of Remote Sensing 2022 DOI
Karl Øyvind Mikalsen,
Cristina Soguero Ruiz,
Filippo Maria Bianchi,
Arthur Revhaug,
Robert Jenssen
:
Time series cluster kernels to exploit informative missingness and incomplete label information
Samuel Kuttner,
Kristoffer Knutsen Wickstrøm,
Mark Lubberink,
Andreas Tolf,
Joachim Burman,
Rune Sundset
et al.:
Cerebral blood flow measurements with 15O-water PET using a non-invasive machine-learning-derived arterial input function
Van Nhan Nguyen,
Robert Jenssen,
Davide Roverso
:
LS-Net: fast single-shot line-segment detector
Filippo Maria Bianchi,
Simone Scardapane,
Sigurd Løkse,
Robert Jenssen
:
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series
Kristoffer Knutsen Wickstrøm,
Karl Oyvind Mikalsen,
Michael Kampffmeyer,
Arthur Revhaug,
Robert Jenssen
:
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
Changkyu Choi,
Michael Kampffmeyer,
Nils Olav Handegard,
Arnt Børre Salberg,
Olav Brautaset,
Line Eikvil
et al.:
Semi-supervised target classification in multi-frequency echosounder data
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
Reconsidering Representation Alignment for Multi-View Clustering
Huamin Ren,
Filippo Maria Bianchi,
Jingyue Li,
Rasmus L. Olsen,
Robert Jenssen,
Stian Normann Anfinsen
:
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms
IEEE conference proceedings 2021 DOI
Shujian Yu,
Francesco Alesiani,
Xi Yu,
Robert Jenssen,
Jose C. Principe
:
Measuring Dependence with Matrix-based Entropy Functional
Proceedings of the AAAI Conference on Artificial Intelligence 2021 DOI
Kristoffer Knutsen Wickstrøm,
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
RELAX: Representation Learning Explainability
2022
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
RELAX: Representation Learning Explainability
2022
Daniel Johansen Trosten,
Kristoffer Wickstrøm,
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
Deep Clustering with the Cauchy-Schwarz Divergence
2022
Qinghui Liu,
Michael Kampffmeyer,
Robert Jenssen,
Arnt Børre Salberg
:
PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021
Nils Olav Handegard,
Line Eikvil,
Robert Jenssen,
Michael Kampffmeyer,
Arnt Børre Salberg,
Ketil Malde
:
Machine Learning + Marine Science: Critical Role of Partnerships in Norway
Journal of Ocean Technology 2021 ARKIV
Stine Hansen,
Srishti Gautam,
Robert Jenssen,
Michael Kampffmeyer
:
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision
2021
Robert Jenssen
:
Industrial and basic deep learning research for computer vision with limited labels
2021
Changkyu Choi,
Michael Kampffmeyer,
Nils Olav Handegard,
Arnt Børre Salberg,
Line Eikvil,
Robert Jenssen
:
Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data
2021
Michael Kampffmeyer,
Robert Jenssen,
Karl Øyvind Mikalsen,
Arthur Revhaug
:
Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction
2021
Robert Jenssen
:
Kunstig intelligens og maskinlæring - på full fart inn i helsevesenet
2021
Robert Jenssen
:
UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens
07. July 2021
Robert Jenssen
:
Machine Learning Research, AI Technology and Ethical Considerations
2021
Robert Jenssen
:
UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens
07. July 2021
Robert Jenssen
:
Artificial intelligence towards the future of medicine
2021
Robert Jenssen
:
Maskinlæring for identifisering av risikopasienter
2021
Robert Jenssen
:
Åpning av senter for pasientnær kunstig intelligens - veien som har ført oss hit vi er i dag og veien videre
2021
Robert Jenssen
:
Kunstig intelligens og maskinlæring inn i helsetjenesten
2021
Robert Jenssen
:
Kunstig intelligens og maskinlæring. Forskning som forandrer samfunnet og helsevesenet
2021
Robert Jenssen
:
Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging
2021
Robert Jenssen
:
Solving research challenges in deep learning to enable innovations
2021
Robert Jenssen
:
Horfor satse på kunstig intelligens?
2021
Michael Kampffmeyer,
Robert Jenssen,
Karl Øyvind Mikalsen,
Sigurd Eivindson Løkse
:
Towards Explainable Representation Learning
2021
Robert Jenssen
:
Hvordan kan kunstig intelligens være en del av fremtidens helsetjeneste?
2021
Robert Jenssen
:
Hvilken rolle kan kunstig intelligens ha i et kvinnehelseperspektiv?
2021
Robert Jenssen
:
Spearheading AI research and innovation in Norway
2021
Sigurd Eivindson Løkse,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
Towards Explainable Representation Learning
2021
Kristoffer Knutsen Wickstrøm,
Sigurd Eivindson Løkse,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Robert Jenssen
:
Towards Explainable Representation Learning
2021
Kristoffer Knutsen Wickstrøm,
Michael Kampffmeyer,
Robert Jenssen
:
Advances in explainable DL & how to model uncertainty in explainability
2021
Kristoffer Knutsen Wickstrøm,
Karl Øyvind Mikalsen,
Michael Kampffmeyer,
Arthur Revhaug,
Robert Jenssen
:
Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction
2021
Sigurd Eivindson Løkse,
Michael Kampffmeyer,
Robert Jenssen,
Karl Øyvind Mikalsen
:
Towards Explainable Representation Learning
2021
Robert Jenssen
:
Visual Intelligence åpnet og klare til å løse viktige samfunnsutfordringer
14. January 2021
Robert Jenssen
:
Har "kapret" internasjonal avtale
02. July 2021
Oscar Escudero-Arnanz,
Joaquín Rodríguez-Álvarez,
Karl Øyvind Mikalsen,
Robert Jenssen,
Cristina Soguero-Ruiz
:
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit
Robert Jenssen,
Inger Solheim
:
Visual Intelligence SFI Overview
2021
Robert Jenssen,
Anne H Schistad Solberg,
Line Eikvil
:
Norge er verdensledende
på bildeanalyse med
kunstig intelligens
21. June 2021
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