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Department of Physics and Technology robert.jenssen@uit.no +4777646493 41699612 Tromsø FPARK B 271

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

SFI Visual Intelligence

Twitter: @SFI_VI

Professor and Head of the UiT Machine Learning Group. Please see

UiT Machine Learning Group

Google Scholar Profile


  • 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
    Pattern Recognition Letters 2022 ARKIV / DOI
  • Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen :
    Generating customer's credit behavior with deep generative models
    Knowledge-Based Systems 2022 ARKIV / DOI
  • Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer :
    Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
    Medical Image Analysis 2022 ARKIV / DOI
  • 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
    Pattern Recognition 2021 ARKIV / DOI
  • 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
    Journal of Cerebral Blood Flow and Metabolism 08. February 2021 ARKIV / DOI
  • Van Nhan Nguyen, Robert Jenssen, Davide Roverso :
    LS-Net: fast single-shot line-segment detector
    Machine Vision and Applications 2021 ARKIV / DOI
  • Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen :
    Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series
    IEEE Transactions on Neural Networks and Learning Systems 2021 ARKIV / DOI
  • 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
    IEEE journal of biomedical and health informatics 2021 ARKIV / DOI
  • 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
    ICES Journal of Marine Science 12. August 2021 ARKIV / FULLTEKST / DOI
  • Daniel Johansen Trosten, Sigurd Eivindson Løkse, Robert Jenssen, Michael Kampffmeyer :
    Reconsidering Representation Alignment for Multi-View Clustering
    Computer Vision and Pattern Recognition 2021 ARKIV / DOI
  • 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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