Robert Jenssen

Elisabeth Wetzer; Suaiba Amina Salahuddin; Robert Jenssen; Michael Christian Kampffmeyer; Torkil Stoltz; Verdens nordligste KI-konferanse 2025. Media interview

Lars Uebbing; Harald Lykke Joakimsen; Luigi Tommaso Luppino; Iver Martinsen; Andrew McDonald; et al. Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting Proceedings of Machine Learning Research (PMLR), (ISSN 2640-3498 2640-3498 ), 2025. Scientific article

Shujian Yu; Hongming Li; Sigurd Eivindson Løkse; Robert Jenssen; Jose C. Principe; The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 0 , doi: https://doi.org/10.1109/TPAMI.2025.3552434 , 2025. Scientific article

Marine Intelligence: Innovations to Enhance Underwater Exploration 2025. Poster

Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration pp. 72 80 , , 2025. Scientific chapter / article / conference article

Robert Jenssen; Kerstin Bach; Proceedings of the Symposium of the Norwegian AI Society 2025 , 2025. Scientific anthology / conference series

Suaiba Amina Salahuddin; Elisabeth Wetzer; Kristoffer Wickstrøm; Solveig Thrun; Michael Kampffmeyer; et al. Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance Lecture Notes in Computer Science (LNCS), doi: https://doi.org/https://doi.org/10.1007/978-3-031-95918-9_20 , 2025. Scientific article

Suaiba Amina Salahuddin; Elisabeth Wetzer; Kristoffer Wickstrøm; Solveig Thrun; Michael Kampffmeyer; et al. Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance 2025. Poster

Forskningsdrevet innovasjon innen KI: Hvordan styrker vi det sammen? doi: https://doi.org/https://www.youtube.com/watch?v=wLoIrF8uAdc&t , 2025. Other presentation

NOFE - Neural Operator Function Embedding 2025. Poster

NOFE Neural Operator Function Embedding doi: https://doi.org/https://ai4eo2025.irisa.fr/ , 2025. Scientific lecture

Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders Proceedings of Machine Learning Research (PMLR), (ISSN 2640-3498 ), 2025. Scientific article

TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms 2025. Poster

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction 2025. Poster

Robert Jenssen; Norges eldste fagmiljø innen KI doi: https://doi.org/https://issuu.com/markedsmedia/docs/forskning_for_fremtiden_/8 , 2025. Media interview

UiT er vertskap for landsdekkende KI-konferanse uit.no, doi: https://doi.org/https://uit.no/nyheter/artikkel/kortnytt?p_document_id=876656 , 2025. Science for the public article

Robert Jenssen; Kristian Stave; Linn Merethe Ophaug; Studenter etterlyser bedre informasjon om KI-regler på eksamen doi: https://doi.org/https://www.nrk.no/tromsogfinnmark/forvirring-rundt-ki-reglement-blant-studenter-ved-uit-1.17298416 , 2025. Media interview

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability | Proceedings of the AAAI Conference on Artificial Intelligence Proceedings of the AAAI Conference on Artificial Intelligence, (ISSN 2159-5399 2374-3468 ), doi: https://doi.org/10.1609/aaai.v39i8.32900 , 2025. Scientific article

Leveraging tensor kernels to reduce objective function mismatch in deep clustering Pattern Recognition, vol. 149, (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2023.110229 , 2024. Scientific article

Harald Lykke Joakimsen; Iver Martinsen; Luigi Tommaso Luppino; Andrew McDonald; Scott Hosking; et al. Interrogating Sea Ice Predictability with Gradients IEEE Geoscience and Remote Sensing Letters, pp. 1 5 4 , doi: https://doi.org/10.1109/LGRS.2024.3366308 , 2024. Scientific article

Duy Khoi Tran; van Nhan Nguyen; Davide Roverso; Robert Jenssen; Michael Christian Kampffmeyer; LSNetv2: Improving weakly supervised power line detection with bipartite matching Expert Systems With Applications, pp. 0 , doi: https://doi.org/10.1016/j.eswa.2024.123773 , 2024. Scientific article

Samuel Kuttner; Luigi Tommaso Luppino; Laurence Convert; Otman Sarrhini; Roger Lecomte; et al. Deep learning derived input function in dynamic [¹⁸F]FDG PET imaging of mice Frontiers in Nuclear Medicine, pp. 0 , doi: https://doi.org/10.3389/fnume.2024.1372379 , 2024. Scientific article

Petter Bjørklund; Robert Jenssen; Kristoffer Knutsen Wickstrøm; KI har superkrefter som kan hjelpe legene våre uit.no, 2024. Science for the public article

DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 7170 7174 , (ISSN 1520-6149 2379-190X ), doi: https://doi.org/10.1109/ICASSP48485.2024.10447094 , 2024. Scientific article

Robert Jenssen; Kristoffer Knutsen Wickstrøm; Petter Bjørklund; Slik kan kunstig intelligens hjelpe legene Forskning.no, (ISSN 1891-635X 1891-6341 ), 2024. Science for the public article

Robert Jenssen; Rolf Ole Lindsetmo; Therese Hoseth Blomsø; Solveig Sand-Hanssen Hofvind; Even A. Røed; et al. Hvordan implementerer vi KI for bruk i helsesektoren på en trygg måte? 2024. Lecture

Robert Jenssen; Til Tromsø for å diskutere kunstig intelligens 2024. Media interview

Robert Jenssen; Rolf Ole Lindsetmo; Karl Øyvind Mikalsen; Oddny Johnsen; Markerer Tromsøs fortrinn på kunstig intelligens 2024. Media interview

Robert Jenssen; NRK-intervju om Northern Lights Deep Learning Conference 2024 2024. Media interview

Robert Jenssen; Luigi Tommaso Luppino; Mark Andrew Girolami; Iver Martinsen; Harald Lykke Joakimsen; Rune Endresen Ytreberg; Midt i skitværet spår de bedre og raskere værmelding 2024. Media interview

Robert Jenssen; Ole-Christoffer Granmo; Eldrid Borgan; Kan norsk oppfinnelse revolusjonere kunstig intelligens? 2024. Media interview

Petter Bjørklund; Michael Christian Kampffmeyer; Arnt-Børre Salberg; Robert Jenssen; Full klaff for KI-konferansen i Tromsø uit.no, , 2024. Science for the public article

Petter Bjørklund; Elisabeth Wetzer; Robert Jenssen; UiT-forsker invitert til prestisje-konferanse for Nobelpris-vinnere uit.no, 2024. Science for the public article

Petter Bjørklund; Robert Jenssen; Klas Henning Pettersen; Til Tromsø for å diskutere kunstig intelligens uit.no, 2024. Science for the public article

Robert Jenssen; August Hansen; Intervju om KI innen helsesektoren på NRK Radio 2024. Media interview

Robert Jenssen; Keyur Radiya; Torkild Jemterud; Den store serien om KI (4:10) - Vaktskifte: Dr. KI stempler inn 2024. Media interview

Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks Proceedings of Machine Learning Research (PMLR), vol. 235, (ISSN 2640-3498 ), , 2024. Scientific article

MAP IT to Visualize Representations International Conference on Learning Representations, pp. 1 7 , , 2024. Scientific article

Shujian Yu; Sigurd Eivindson Løkse; Robert Jenssen; Jose Principe; Cauchy-Schwarz Divergence Information Bottleneck for Regression International Conference on Learning Representations, doi: https://doi.org/https://openreview.net/forum?id=7wY67ZDQTE , 2024. Scientific article

Kaizhong Zheng; Shujian Yu; Baojuan Li; Robert Jenssen; Badong Chen; BrainIB: Interpretable brain network-based psychiatric diagnosis with graph information bottleneck IEEE Transactions on Neural Networks and Learning Systems, doi: https://doi.org/10.1109/TNNLS.2024.3449419 , 2024. Scientific article

Robert Jenssen; Kunstig intelligens Hva er det? Hvordan kan det (mis)brukes? 2024. Lecture

Robert Jenssen; Presentasjon av toppforskning innen KI ved UiT 2024. Lecture

Robert Jenssen; Kunstig intelligens - Finnes det en mer "bankers" karrierevei? 2024. Lecture

Robert Jenssen; UiT – Et nasjonalt tyngdepunkt innen KI 2024. Lecture

Robert Jenssen; XAI for representation learning 2024. Scientific lecture

Robert Jenssen; Medical Image Analysis for Cardiac Ultrasound and CT Image Retrieval 2024. Scientific lecture

Robert Jenssen; Effekter av KI i ulike deler av samfunnet: Hvordan kan forskere og politikere bidra til at KI gagner oss best mulig? 2024. Lecture

Robert Jenssen; Kunstig intelligens - Hva er det? Hvordan kan det (mis)brukes? 2024. Lecture

Robert Jenssen; KI og pasientsikkerhet 2024. Lecture

Robert Jenssen; Michael Christian Kampffmeyer; Visual Intelligence Research and Innovation 2024. Lecture

Robert Jenssen; Michael Christian Kampffmeyer; Visual Intelligence Research and Innovations 2024. Lecture

Robert Jenssen; Shujian Yu; Discrepancies to incorporate knowledge 2024. Lecture

Robert Jenssen; Towards eXplainable AI (XAI) with deep learning 2024. Scientific lecture

Robert Jenssen; AI for acoustic fish target detection and beyond 2024. Lecture

Robert Jenssen; Exploiting data acquisition knowledge for cardiac ultrasound and content-based CT image retrieval 2024. Scientific lecture

Robert Jenssen; Kunstig intelligens i transfusjonsmedisin 2024. Lecture

Robert Jenssen; KI i havnæringene? 2024. Lecture

Jørgen Aarmo Lund; Per Joel Burman Burman; Ashenafi Zebene Woldaregay; Robert Jenssen; Karl Øyvind Mikalsen; Instruction-guided deidentification with synthetic test cases for Norwegian clinical text Proceedings of Machine Learning Research (PMLR), vol. 233, pp. 145 152 , (ISSN 2640-3498 2640-3498 ), 2024. Scientific article

Lars Uebbing; Harald Lykke Joakimsen; Luigi Tommaso Luppino; Iver Martinsen; Andrew McDonald; et al. Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting 2024. Poster

Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data IEEE Journal of Oceanic Engineering, vol. 48, pp. 384 400 , (ISSN 0364-9059 1558-1691 ), doi: https://doi.org/10.1109/JOE.2022.3226214 , 2023. Scientific article

Juan Emmanuel Johnson; Sigurd Eivindson Løkse; Gustau Camps-Valls; Karl Øyvind Mikalsen; Michael Kampffmeyer; et al. The Kernelized Taylor Diagram doi: https://doi.org/10.1007/978-3-031-17030-0_10 , 2023. Scientific chapter / article / conference article

A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Computerized Medical Imaging and Graphics, vol. 107, pp. 1 12 , (ISSN 0895-6111 1879-0771 ), doi: https://doi.org/10.1016/j.compmedimag.2023.102239 , 2023. Scientific article

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings Computer Vision and Pattern Recognition, pp. 7527 7536 , (ISSN 1063-6919 ), doi: https://doi.org/10.1109/CVPR52729.2023.00727 , 2023. Scientific article

On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering Computer Vision and Pattern Recognition, pp. 23976 23985 , (ISSN 1063-6919 ), doi: https://doi.org/10.1109/CVPR52729.2023.02296 , 2023. Scientific article

Durgesh Kumar Singh; Ahcene Boubekki; Robert Jenssen; Michael Kampffmeyer; Supercm: Revisiting Clustering for Semi-Supervised Learning Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, (ISSN 1520-6149 2379-190X ), doi: https://doi.org/10.1109/ICASSP49357.2023.10095856 , 2023. Scientific article

View it like a radiologist: Shifted windows for deep learning augmentation of CT images Machine Learning for Signal Processing, (ISSN 1551-2541 2378-928X ), doi: https://doi.org/10.1109/MLSP55844.2023.10285978 , 2023. Scientific article

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy Entropy, vol. 25, pp. 1 21 , (ISSN 1099-4300 ), doi: https://doi.org/10.3390/e25060899 , 2023. Scientific article

Kristoffer Knutsen Wickstrøm; Sigurd Eivindson Løkse; Michael Christian Kampffmeyer; Shujian Yu; José C. Príncipe; et al. Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy Entropy, (ISSN 1099-4300 1099-4300 ), doi: https://doi.org/10.3390/e25060899 , 2023. Scientific article

Changkyu Choi; Michael Christian Kampffmeyer; Nils Olav Handegard; Arnt-Børre Salberg; Robert Jenssen; Deep Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data 2023. Poster

Fredrik Emil Aspheim; Samuel Kuttner; Luigi Tommaso Luppino; Rune Sundset; Michael Christian Kampffmeyer; et al. Deep learning derived input-function in dynamic PET-imaging 2023. Lecture

Harald Lykke Joakimsen; Iver Martinsen; Luigi Tommaso Luppino; Robert Jenssen; "Explainable" IceNet with backpropagated gradients 2023. Poster

Deltaker i podcasten KA i KI 2023. Media participation

Robert Jenssen; On representation learning with information theoretic criteria and a new method for representation learning interpretability 2023. Scientific lecture

Robert Jenssen; XAI for representation learning 2023. Scientific lecture

Robert Jenssen; Deep learning in image analysis, graphs, and a new measure of statistical dependency between graphs 2023. Scientific lecture

Robert Jenssen; Self-supervised learning with XAI 2023. Scientific lecture

Robert Jenssen; XAI for representation learning 2023. Scientific lecture

Robert Jenssen; Information theoretic approaches: To clustering, graph neural networks and for investigating the dynamics of learning 2023. Scientific lecture

Robert Jenssen; Information Theory Meets Deep Learning 2023. Scientific lecture

Robert Jenssen; Kunstig intelligens i fremtidens helsetjenester 2023. Media interview

Robert Jenssen; Stortinget: Kunstig intelligens i helse 2023. Lecture popular

Robert Jenssen; A major Norwegian hub for AI research in health 2023. Lecture

Robert Jenssen; Kunstig intelligens i helse 2023. Lecture popular

Robert Jenssen; En offensiv offentlig politikk for kunstig intelligens i helsetjenesten 2023. Lecture popular

Robert Jenssen; Kunstig intelligens – Hva er det? Hvor kan det (mis)brukes 2023. Lecture popular

Robert Jenssen; NRK-intervju Arendalsuka 2023. Media interview

Fredrik Emil Aspheim; Luigi Tommaso Luppino; Michael Christian Kampffmeyer; Robert Jenssen; Rune Sundset; et al. Interpretable deep learning model for input function estimation in small-animal 18F-FDG PET imaging 2023. Scientific lecture

Selective Imputation for Multivariate Time Series Datasets with Missing Values IEEE Transactions on Knowledge and Data Engineering, vol. 35, pp. 9490 9501 , (ISSN 1041-4347 1558-2191 ), doi: https://doi.org/10.1109/TKDE.2023.3240858 , 2023. Scientific article

Stine Hansen; Srishti Gautam; Suaiba Amina Salahuddin; Michael Christian Kampffmeyer; Robert Jenssen; ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement Medical Image Analysis, pp. 0 , doi: https://doi.org/10.1016/j.media.2023.102870 , 2023. Scientific article

Kristoffer Wickstrøm; Daniel Johansen Trosten; Sigurd Eivindson Løkse; Ahcene Boubekki; Karl Øyvind Mikalsen; et al. RELAX: Representation Learning Explainability International Journal of Computer Vision, pp. 1584 1610 26 , doi: https://doi.org/10.1007/s11263-023-01773-2 , 2023. Scientific article

Discriminative multimodal learning via conditional priors in generative models Neural Networks, vol. 169, pp. 417 430 , (ISSN 0893-6080 1879-2782 ), doi: https://doi.org/10.1016/j.neunet.2023.10.048 , 2023. Scientific article

A Contextually Supported Abnormality Detector for Maritime Trajectories Journal of Marine Science and Engineering (JMSE), vol. 11, (ISSN 2077-1312 ), doi: https://doi.org/10.3390/jmse11112085 , 2023. Scientific article

Espen Morten Viklem Eidum; Mathias K. Hauglid; Robert Jenssen; Kunstig intelligens: Forsker advarer mot diskriminering av minoriteter Forskning.no, (ISSN 1891-635X 1891-6341 ), 2023. Science for the public article

Mathias K. Hauglid; Espen Morten Viklem Eidum; Robert Jenssen; Kunstig intelligens: Advarer mot diskriminering av minoriteter uit.no, 2023. Science for the public article

Robert Jenssen; Kristoffer Knutsen Wickstrøm; Ja takk til «krysskulturelle» prosjekter drevet fram av teknologiutvikling Khrono.no, 2023. Article feature

Robert Jenssen; Kristoffer Knutsen Wickstrøm; Hvordan bør fotavtrykket av regjeringens satsing på kunstig intelligens se ut i Nord-Norge i 2030? Nordnorsk Debatt, 2023. Article feature

Robert Jenssen; NLDL - Northern Lights Deep Learning Conference 2023. Media interview

Robert Jenssen; rtg Pattern Recognition, (ISSN 0031-3203 1873-5142 ), 2022. Scientific article

Daniel Johansen Trosten; Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; RELAX: Representation Learning Explainability 2022. Poster

Daniel Johansen Trosten; Kristoffer Wickstrøm; Shujian Yu; Sigurd Eivindson Løkse; Robert Jenssen; et al. Deep Clustering with the Cauchy-Schwarz Divergence 2022. Scientific lecture

Generating customer's credit behavior with deep generative models Knowledge-Based Systems, vol. 245, (ISSN 0950-7051 1872-7409 ), doi: https://doi.org/10.1016/j.knosys.2022.108568 , 2022. Scientific article

Mixing up contrastive learning: Self-supervised representation learning for time series Pattern Recognition Letters, vol. 155, pp. 54 61 , (ISSN 0167-8655 1872-7344 ), doi: https://doi.org/10.1016/j.patrec.2022.02.007 , 2022. Scientific article

Stine Hansen; Srishti Gautam; Michael Kampffmeyer; Robert Jenssen; A self-guided anomaly detection-inspired few-shot segmentation network CEUR Workshop Proceedings, vol. 3271, (ISSN 1613-0073 1613-0073 ), 2022. Scientific article

Stine Hansen; Srishti Gautam; Michael Kampffmeyer; Robert Jenssen; A self-guided anomaly detection-inspired few-shot segmentation network CEUR Workshop Proceedings, vol. 3271, (ISSN 1613-0073 1613-0073 ), 2022. Scientific article

Suaiba Amina Salahuddin; Stine Hansen; Srishti Gautam; Michael Kampffmeyer; Robert Jenssen; A self-guided anomaly detection-inspired few-shot segmentation network CEUR Workshop Proceedings, vol. 3271, (ISSN 1613-0073 1613-0073 ), , 2022. Scientific article

Kristoffer Wickstrøm; Michael Kampffmeyer; Karl Øyvind Mikalsen; Robert Jenssen; Mixing up contrastive learning: Self-supervised representation learning for time series Pattern Recognition Letters, (ISSN 0167-8655 1872-7344 ), doi: https://doi.org/10.1016/j.patrec.2022.02.007 , 2022. Scientific article

Changkyu Choi; Shujian Yu; Michael Kampffmeyer; Arnt-Børre Salberg; Nils Olav Handegard; et al. Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior 2022. Poster

Shujian Yu; Francesco Alesiani; Wenzhe Yin; Robert Jenssen; Jose C. Principe; Principle of Relevant Information for Graph Sparsification Proceedings of Machine Learning Research (PMLR), vol. 180, pp. 2331 1241 17 , (ISSN 2640-3498 2640-3498 ), doi: https://doi.org/10.48550/arXiv.2206.00118 , 2022. Scientific article

The Kernelized Taylor Diagram Communications in Computer and Information Science (CCIS), vol. 1650, pp. 125 131 , (ISSN 1865-0929 1865-0937 ), doi: https://doi.org/10.1007/978-3-031-17030-0_10 , 2022. Scientific article

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, vol. 43, pp. 3509 3535 26 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2022.2098078 , 2022. Scientific article

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation 2022. Poster

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation 2022. Poster

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; Artifact Detection with Prototypical Relevance Propagation 2022. Poster

Srishti Gautam; Ahcene Boubekki; Stine Hansen; Suaiba Amina Salahuddin; Robert Jenssen; et al. ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Advances in Neural Information Processing Systems, pp. 28 , doi: https://doi.org/10.48550/arXiv.2210.08151 , 2022. Scientific article

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation IEEE International Symposium on Biomedical Imaging, pp. 5 , doi: https://doi.org/10.1109/ISBI52829.2022.9761651 , 2022. Scientific article

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation Pattern Recognition, pp. 13 , doi: https://doi.org/10.1016/j.patcog.2022.109172 , 2022. Scientific article

Kristoffer Wickstrøm; Juan Emmanuel Johnson; Sigurd Eivindson Løkse; Gusatu Camps-Valls; Karl Øyvind Mikalsen; et al. The Kernelized Taylor Diagram 2022. Scientific lecture

Kristoffer Wickstrøm; Eirik Agnalt Østmo; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; Explaining representations for medical image retrieval 2022. Scientific lecture

Samuel Kuttner; Luigi Tommaso Luppino; Kristoffer Wickstrøm; Nils Thomas Doherty Midtbø; Seyed Esmaeil Dorraji; et al. Deep learning derived input function in dynamic 18F-FDG PET imaging of mice 2022. Scientific lecture

Luigi Tommaso Luppino; Mads Adrian Hansen; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; et al. Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images IEEE Transactions on Neural Networks and Learning Systems, pp. 13 , doi: https://doi.org/10.1109/TNNLS.2022.3172183 , 2022. Scientific article

Stine Hansen; Srishti Gautam; Robert Jenssen; Michael Kampffmeyer; Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels Medical Image Analysis, pp. 12 , doi: https://doi.org/10.1016/j.media.2022.102385 , 2022. Scientific article

Kristoffer Knutsen Wickstrøm; Daniel Johansen Trosten; Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; et al. RELAX: Representation Learning Explainability 2022. Poster

Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring pp. 419 425 , doi: https://doi.org/10.1109/SmartGridComm52983.2022.9960976 , 2022. Scientific chapter / article / conference article

Kunstig intelligens-utdanninger for helse ved UiT 2022. Lecture

Computer vision for power line monitoring 2022. Scientific lecture

Innovasjon i Visual Intelligence 2022. Lecture

An introduction to self-supervised learning with examples of use cases in few-shot learning and medical image analysis 2022. Lecture

Pasientnær kunstig intelligens 2022. Lecture

Visual Intelligence advances deep learning research towards innovations 2022. Scientific lecture

Centre for Research-based Innovation Visual Intelligence and the General Electric Vingmed Ultrasound Collaboration 2022. Lecture

Visual Intelligence for medical image analysis 2022. Scientific lecture

Women in AI panel debate 2022. Lecture

Towards XAI and Visual Intelligence for health 2022. Scientific lecture

Machine Learning Research, AI Technology and Ethical Considerations 2022. Lecture

Mot framtidas helsevesen med kunstig intelligens 2022. Lecture

Presentation of SFI Visual Intelligence 2022. Lecture

Paneldebatt framtidas helsevesen med AI 2022. Lecture

Learning from limited data 2022. Lecture

Visual Intelligence and graph neural networks 2022. Lecture

Towards XAI and Visual Intelligence for health 2022. Scientific lecture

Visual Intelligence and environmental monitoring 2022. Lecture

Etikk og AI 2022. Lecture

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, vol. 25, pp. 2435 2444 9 , (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2020.3042637 , 2021. Scientific article

Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images International Journal of Remote Sensing, vol. 42, pp. 6184 6208 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2021.1936267 , 2021. Scientific article

Daniel Johansen Trosten; Robert Jenssen; Michael Kampffmeyer; Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective Proceedings of the Northern Lights Deep Learning Workshop, vol. 2, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.5709 , 2021. Scientific article

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021 , 2021. Scientific lecture

Semi-supervised target classification in multi-frequency echosounder data ICES Journal of Marine Science, vol. 78, pp. 2615 2627 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsab140 , 2021. Scientific article

Machine Learning + Marine Science: Critical Role of Partnerships in Norway Journal of Ocean Technology, vol. 16, pp. 1 9 , (ISSN 1718-3200 1718-3219 ), , 2021. Article journal

Changkyu Choi; Michael Kampffmeyer; Nils Olav Handegard; Arnt Børre Salberg; Line Eikvil; et al. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data 2021. Poster

Michael Kampffmeyer; Robert Jenssen; Karl Øyvind Mikalsen; Sigurd Eivindson Løkse; Towards Explainable Representation Learning 2021. Lecture

Robert Jenssen; Anne H Schistad Solberg; Line Eikvil; Norge er verdensledende på bildeanalyse med kunstig intelligens 2021. Media interview

Robert Jenssen; Spearheading AI research and innovation in Norway 2021. Lecture

Robert Jenssen; Hvilken rolle kan kunstig intelligens ha i et kvinnehelseperspektiv? 2021. Lecture

Sigurd Eivindson Løkse; Michael Kampffmeyer; Robert Jenssen; Karl Øyvind Mikalsen; Towards Explainable Representation Learning 2021. Lecture

Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; Towards Explainable Representation Learning 2021. Lecture

Stine Hansen; Srishti Gautam; Robert Jenssen; Michael Kampffmeyer; Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision 2021. Scientific lecture

Ahcene Boubekki; Jonas Nordhaug Myhre; Luigi Tommaso Luppino; Karl Øyvind Mikalsen; Arthur Revhaug; et al. Clinically relevant features for predicting the severity of surgical site infections IEEE journal of biomedical and health informatics, (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2021.3121038 , 2021. Article journal

Kristoffer Knutsen Wickstrøm; Karl Øyvind Mikalsen; Michael Kampffmeyer; Arthur Revhaug; Robert Jenssen; Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction 2021. Scientific lecture

Kristoffer Knutsen Wickstrøm; Michael Kampffmeyer; Robert Jenssen; Advances in explainable DL & how to model uncertainty in explainability 2021. Scientific lecture

Kristoffer Knutsen Wickstrøm; Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; Towards Explainable Representation Learning 2021. Scientific lecture

Ahcene Boubekki; Michael Kampffmeyer; Ulf Brefeld; Robert Jenssen; Joint optimization of an autoencoder for clustering and embedding. Machine Learning, pp. 1901 1937 , doi: https://doi.org/10.1007/s10994-021-06015-5 , 2021. Scientific article

Daniel Johansen Trosten; Sigurd Eivindson Løkse; Robert Jenssen; Michael Kampffmeyer; Reconsidering Representation Alignment for Multi-View Clustering Computer Vision and Pattern Recognition, pp. 1255 1265 , doi: https://doi.org/10.1109/CVPR46437.2021.00131 , 2021. Scientific article

Luigi Tommaso Luppino; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Sebastiano Bruno Serpico; et al. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection IEEE Transactions on Geoscience and Remote Sensing, pp. 22 , doi: https://doi.org/10.1109/TGRS.2021.3056196 , 2021. Scientific article

Robert Jenssen; Trude Dagmar Haugseth Moe; Åpning av UiTs nye SFI: Visual Intelligence uit.no, 2021. Science for the public article

Ahcene Boubekki; Jonas Nordhaug Myhre; Luigi Tommaso Luppino; Karl Øyvind Mikalsen; Arthur Revhaug; et al. Clinically relevant features for predicting the severity of surgical site infections IEEE Journal of Biomedical and Health Informatics, pp. 1794 1801 7 , doi: https://doi.org/10.1109/JBHI.2021.3121038 , 2021. Scientific article

Solving research challenges in deep learning to enable innovations 2021. Lecture

NORA forklarer kunstig intelligens. Episode 1 - Robert Jenssen forklarer kunstig intelligens innen helseforskning, computer vision og bildeanalyse 2021. Lecture

Robert Jenssen; UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens 2021. Media interview

Maskinlæring for identifisering av risikopasienter 2021. Lecture

Robert Jenssen; Robert skal lede nytt UiT-senter verdt 300 millioner kroner 2021. Media interview

Robert Jenssen; UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens 2021. Media interview

Kunstig intelligens og maskinlæring. Forskning som forandrer samfunnet og helsevesenet 2021. Lecture

Kunstig intelligens og maskinlæring inn i helsetjenesten 2021. Lecture

Kunstig intelligens - Forstå verden. Forvreng verden? 2021. Lecture

Hvordan skal Norge og Nord-Norge ta føringen innen kunstig intelligens? 2021. Lecture

Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging 2021. Scientific lecture

Artificial intelligence towards the future of medicine 2021. Lecture

Horfor satse på kunstig intelligens? 2021. Lecture

Machine Learning and Visual Intelligence for decision support in healthcare and medical image analysis 2021. Lecture

Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging 2021. Lecture

Machine Learning and Visual Intelligence for decision support in healthcare and medical image analysis 2021. Lecture

Åpning av senter for pasientnær kunstig intelligens - veien som har ført oss hit vi er i dag og veien videre 2021. Lecture

Industrial and basic deep learning research for computer vision with limited labels 2021. Scientific lecture

Machine Learning Research, AI Technology and Ethical Considerations 2021. Lecture

Kunstig intelligens og maskinlæring - på full fart inn i helsevesenet 2021. Lecture

Industrial and basic deep learning research for computer vision with limited labels 2021. Lecture

Measuring Dependence with Matrix-based Entropy Functional Proceedings of the AAAI Conference on Artificial Intelligence, (ISSN 2159-5399 2374-3468 ), doi: https://doi.org/10.48550/arXiv.2101.10160 , 2021. Scientific article

Robert Jenssen; Har "kapret" internasjonal avtale 2021. Media interview

Robert Jenssen; Visual Intelligence åpnet og klare til å løse viktige samfunnsutfordringer 2021. Media interview

Time series cluster kernels to exploit informative missingness and incomplete label information Pattern Recognition, vol. 115, (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2021.107896 , 2021. Scientific article

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series IEEE Transactions on Neural Networks and Learning Systems, vol. 32, pp. 2169 2179 , (ISSN 2162-237X 2162-2388 ), doi: https://doi.org/10.1109/TNNLS.2020.3001377 , 2021. Scientific article

Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms doi: https://doi.org/10.1109/ICCE50685.2021.9427652 , 2021. Scientific chapter / article / conference article

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, pp. 1 13 , (ISSN 0271-678X 1559-7016 ), doi: https://doi.org/10.1177/0271678X21991393 , 2021. Scientific article

Hvordan kan kunstig intelligens være en del av fremtidens helsetjeneste? 2021. Lecture

Visual Intelligence SFI Overview 2021. Lecture

On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit , 2021. Scientific lecture

LS-Net: fast single-shot line-segment detector Machine Vision and Applications, vol. 32, (ISSN 0932-8092 1432-1769 ), doi: https://doi.org/10.1007/s00138-020-01138-6 , 2021. Scientific article

Dense dilated convolutions merging network for land cover classification IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 6309 6320 , (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/TGRS.2020.2976658 , 2020. Scientific article

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020 , 2020. Scientific lecture

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation , 2020. Scientific lecture

Deep generative models for reject inference in credit scoring Knowledge-Based Systems, vol. 196, (ISSN 0950-7051 1872-7409 ), doi: https://doi.org/10.1016/j.knosys.2020.105758 , 2020. Scientific article

Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation pp. 199 205 , doi: https://doi.org/10.1109/CVPRW50498.2020.00030 , 2020. Scientific chapter / article / conference article

Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen; Learning latent representations of bank customers with the Variational Autoencoder Expert systems with applications, vol. 164, pp. 13 , (ISSN 0957-4174 1873-6793 ), doi: https://doi.org/10.1016/j.eswa.2020.114020 , 2020. Scientific article

Learning latent representations of bank customers with the Variational Autoencoder Expert Systems With Applications, vol. 164, (ISSN 0957-4174 1873-6793 ), doi: https://doi.org/10.1016/j.eswa.2020.114020 , 2020. Scientific article

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; SCG-Net for Semantic Labeling , 2020. Scientific lecture

Karl Øyvind Mikalsen; Cristina Soguero-Ruiz; Robert Jenssen; A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs (ISSN 9783030533519 ), 2020. Scientific anthology / conference series

Shujian Yu; Kristoffer Knutsen Wickstrøm; Robert Jenssen; Jose Principe; Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration IEEE Transactions on Neural Networks and Learning Systems, (ISSN 2162-237X 2162-2388 ), doi: https://doi.org/10.1109/TNNLS.2020.2968509 , 2020. Scientific article

Changkyu Choi; Filippo Maria Bianchi; Michael Kampffmeyer; Robert Jenssen; Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks Proceedings of the Northern Lights Deep Learning Workshop, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.5136 , 2020. Scientific article

The 1st Agriculture-Vision Challenge: Methods and Results pp. 212 218 , doi: https://doi.org/10.1109/CVPRW50498.2020.00032 , 2020. Scientific chapter / article / conference article

Michael Kampffmeyer; Robert Jenssen; Karl Øyvind Mikalsen; Arthur Revhaug; Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction 2020. Lecture

Self-Constructing Graph Convolutional Networks for Semantic Labeling doi: https://doi.org/10.1109/IGARSS39084.2020.9324719 , 2020. Scientific chapter / article / conference article

Stine Hansen; Samuel Kuttner; Michael Kampffmeyer; Tom-Vegard Markussen; Rune Sundset; et al. Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI Expert Systems With Applications, pp. 1 12 , doi: https://doi.org/10.1016/j.eswa.2020.114244 , 2020. Scientific article

Changkyu Choi; Michael Kampffmeyer; Robert Jenssen; A Robustness Analysis of Personalized Propagation of Neural Prediction , 2020. Poster

Changkyu Choi; Filippo Maria Bianchi; Michael Kampffmeyer; Robert Jenssen; Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks , 2020. Poster

Visual Intelligence – UiT - AI innen helse - omstilling og industrielt løft (FoU) 2020. Lecture

Robert Jenssen; Morten Goodwin; Klas Henning Pettersen; Episode 1 - Robert Jenssen forklarer kunstig intelligens innen helseforskning, computer vision og bildanalyse 2020. Media interview

Multivariate Extension of Matrix-Based Rényi's αα-Order Entropy Functional IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, pp. 2960 2966 , (ISSN 0162-8828 1939-3539 ), doi: https://doi.org/10.1109/TPAMI.2019.2932976 , 2020. Scientific article

Machine learning derived input-function in a dynamic 18F-FDG PET study of mice Biomedical Engineering & Physics Express, vol. 6:015020, pp. 1 13 , (ISSN 2057-1976 ), doi: https://doi.org/10.1088/2057-1976/ab6496 , 2020. Scientific article

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs , 2020. Scientific chapter / article / conference article

Qinghui Liu; Michael C. Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images pp. 1 4 4 , doi: https://doi.org/10.1109/JURSE.2019.8809046 , 2019. Scientific chapter / article / conference article

Qinghui Liu; Michael C. Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; DDCM-Net for Semantic Mapping of Remote Sensing Images 2019. Poster

Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Lorenzo Livi; Arnt Børre Salberg; et al. Deep divergence-based approach to clustering Neural Networks, vol. 113, pp. 91 101 , (ISSN 0893-6080 1879-2782 ), doi: https://doi.org/10.1016/j.neunet.2019.01.015 , 2019. Scientific article

Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Robert Jenssen; Learning representations of multivariate time series with missing data Pattern Recognition, vol. 96:106973, pp. 1 11 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2019.106973 , 2019. Scientific article

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network pp. 5041 5044 , doi: https://doi.org/10.1109/IGARSS.2019.8900082 , 2019. Scientific chapter / article / conference article

Qinghui Liu; Michael C. Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; DDCM Network for Semantic Mapping of Remote Sensing Images , 2019. Scientific lecture

Qinghui Liu; Michael C. Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network , 2019. Scientific lecture

Torgeir Brenn; Lars-Petter Gjøvik; Gunnar Ljosdahl Rasmussen; Tony Bauna; Michael Kampffmeyer; et al. Operationalizing Ship Detection Using Deep Learning , 2019. Scientific lecture

Kristoffer Knutsen Wickstrøm; Michael C. Kampffmeyer; Robert Jenssen; Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps Medical Image Analysis, doi: https://doi.org/10.1016/j.media.2019.101619 , 2019. Scientific article

Daniel Johansen Trosten; Andreas Storvik Strauman; Michael C. Kampffmeyer; Robert Jenssen; Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3257 3261 , doi: https://doi.org/10.1109/ICASSP.2019.8682365 , 2019. Scientific article

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data Computational & Mathematical Methods in Medicine, vol. 2019, (ISSN 1748-670X 1748-6718 ), doi: https://doi.org/10.1155/2019/2059851 , 2019. Scientific article

Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning IEEE Power and Energy Technology Systems Journal, vol. 6, pp. 11 21 , (ISSN 2332-7707 ), doi: https://doi.org/10.1109/JPETS.2018.2881429 , 2019. Scientific article

Noisy multi-label semi-supervised dimensionality reduction Pattern Recognition, vol. 90, pp. 257 270 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2019.01.033 , 2019. Scientific article

Qinghui Liu; Arnt Børre Salberg; Robert Jenssen; A COMPARISON OF DEEP LEARNING ARCHITECTURES FOR SEMANTIC MAPPING OF VERY HIGH RESOLUTION IMAGES , 2018. Poster

Michael C. Kampffmeyer; Arnt Børre Salberg; Robert Jenssen; Urban land cover classification with missing data modalities using deep convolutional neural networks IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 1758 1768 , (ISSN 1939-1404 2151-1535 ), doi: https://doi.org/10.1109/JSTARS.2018.2834961 , 2018. Scientific article

Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Robert Jenssen; Lorenzo Livi; The deep kernelized autoencoder Applied Soft Computing, vol. 71, pp. 816 825 , (ISSN 1568-4946 1872-9681 ), doi: https://doi.org/10.1016/j.asoc.2018.07.029 , 2018. Scientific article

Qinghui Liu; Arnt Børre Salberg; Robert Jenssen; A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images pp. 6943 6946 , doi: https://doi.org/10.1109/IGARSS.2018.8518533 , 2018. Scientific chapter / article / conference article

Learning compressed representations of blood samples time series with missing data doi: https://doi.org/10.1016/j.patcog.2019.106973 , 2018. Scientific chapter / article / conference article

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning International Journal of Electrical Power & Energy Systems, vol. 99, pp. 107 120 , (ISSN 0142-0615 1879-3517 ), doi: https://doi.org/10.1016/j.ijepes.2017.12.016 , 2018. Scientific review article

Uncertainty modeling and interpretability in convolutional neural networks for polyp segmentation doi: https://doi.org/10.1109/MLSP.2018.8516998 , 2018. Scientific chapter / article / conference article

Using multi-anchors to identify patients suffering from multimorbidities pp. 1514 1521 , doi: https://doi.org/10.1109/BIBM.2018.8621213 , 2018. Scientific chapter / article / conference article

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks pp. 307 310 , doi: https://doi.org/10.1109/BHI.2018.8333430 , 2018. Scientific chapter / article / conference article

Towards deep anchor learning pp. 315 318 , doi: https://doi.org/10.1109/BHI.2018.8333432 , 2018. Scientific chapter / article / conference article

Bidirectional deep-readout echo state networks pp. 425 430 , , 2018. Scientific chapter / article / conference article

Ranking Using Transition Probabilities Learned from Multi-Attribute Data Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2018-April, pp. 2851 2855 , (ISSN 1520-6149 2379-190X ), doi: https://doi.org/10.1109/ICASSP.2018.8462132 , 2018. Scientific article

Sigurd Løkse; Filippo Maria Bianchi; Arnt Børre Salberg; Robert Jenssen; Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data Lecture Notes in Computer Science (LNCS), vol. 10269 LNCS, pp. 431 442 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-319-59126-1_36 , 2017. Scientific article

Michael C. Kampffmeyer; Arnt Børre Salberg; Robert Jenssen; Urban land cover classification with missing data using deep convolutional neural networks pp. 5161 5164 4 , doi: https://doi.org/10.1109/IGARSS.2017.8128164 , 2017. Scientific chapter / article / conference article

Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Lorenzo Livi; Arnt Børre Salberg; et al. Deep divergence-based clustering doi: https://doi.org/10.1109/MLSP.2017.8168158 , 2017. Scientific chapter / article / conference article

Michael C. Kampffmeyer; Arnt Børre Salberg; Robert Jenssen; Urban land cover classification with missing data using deep convolutional neural networks , 2017. Scientific lecture

A clustering approach to heterogeneous change detection pp. 181 192 , doi: https://doi.org/10.1007/978-3-319-59129-2_16 , 2017. Scientific chapter / article / conference article

Time series cluster kernel for learning similarities between multivariate time series with missing data Pattern Recognition, vol. 76, pp. 569 581 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2017.11.030 , 2017. Scientific article

Using anchors from free text in electronic health records to diagnose postoperative delirium Computer Methods and Programs in Biomedicine, vol. 152, pp. 105 114 , (ISSN 0169-2607 1872-7565 ), doi: https://doi.org/10.1016/j.cmpb.2017.09.014 , 2017. Scientific article

Training Echo State Networks with Regularization Through Dimensionality Reduction Cognitive Computation, vol. 9, pp. 364 378 , (ISSN 1866-9956 1866-9964 ), doi: https://doi.org/10.1007/s12559-017-9450-z , 2017. Scientific article

Temporal overdrive recurrent neural network pp. 4275 4282 , doi: https://doi.org/10.1109/IJCNN.2017.7966397 , 2017. Scientific chapter / article / conference article

Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis (ISSN 9783319703381 ), 2017. Scientific monograph

Critical echo state network dynamics by means of Fisher information maximization pp. 852 858 , doi: https://doi.org/10.1109/IJCNN.2017.7965941 , 2017. Scientific chapter / article / conference article

Density ridge manifold traversal pp. 2342 2346 , doi: https://doi.org/10.1109/ICASSP.2017.7952575 , 2017. Scientific chapter / article / conference article

The time series cluster kernel 2017. Scientific chapter / article / conference article

Multiplex visibility graphs to investigate recurrent neural network dynamics Scientific Reports, vol. 7, pp. 1 13 , (ISSN 2045-2322 ), doi: https://doi.org/10.1038/srep44037 , 2017. Scientific article

Robust clustering using a kNN mode seeking ensemble Pattern Recognition, vol. 76, pp. 491 505 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2017.11.023 , 2017. Scientific article

Deep kernelized autoencoders Lecture Notes in Computer Science (LNCS), vol. 10269 LNCS, pp. 419 430 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-319-59126-1_35 , 2017. Scientific article

Robert Jenssen; Vibeke Os; Lager system i et kaos av digital informasjon , 2017. Media interview

Michael C. Kampffmeyer; Arnt Børre Salberg; Robert Jenssen; Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs 2016. Poster

Michael C. Kampffmeyer; Arnt-Børre Salberg; Robert Jenssen; Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, pp. 680 688 , (ISSN 2160-7508 ), doi: https://doi.org/10.1109/CVPRW.2016.90 , 2016. Scientific article

Michael C. Kampffmeyer; Arnt Børre Salberg; Robert Jenssen; Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks , 2016. Scientific lecture

Optimized Kernel Entropy Components IEEE Transactions on Neural Networks and Learning Systems, vol. 28, pp. 1466 1472 , (ISSN 2162-237X 2162-2388 ), doi: https://doi.org/10.1109/TNNLS.2016.2530403 , 2016. Scientific article

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, pp. 1265 1277 , (ISSN 1939-1404 2151-1535 ), doi: https://doi.org/10.1109/JSTARS.2016.2641583 , 2016. Scientific article

Robust Non-Parametric Mode Clustering 2016. Scientific lecture

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods Journal of Biomedical Informatics, vol. 61, pp. 87 96 , (ISSN 1532-0464 1532-0480 ), doi: https://doi.org/10.1016/j.jbi.2016.03.008 , 2016. Scientific article

INFORMATION THEORETIC CLUSTERING USING A k-NEAREST NEIGHBORS-BASED DIVERGENCE MEASURE pp. 69 88 , doi: https://doi.org/10.1142/9789814656535_0004 , 2016. Chapter

Geometric interpretation of density ridges. 2016. Poster

Ambient space manifold learning using density ridges 2016. Poster

Learning similarities between irregularly sampled short multivariate time series from EHRs , 2016. Scientific lecture

Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records IEEE Journal of Biomedical and Health Informatics, vol. 20, pp. 1404 1415 , (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2014.2361688 , 2016. Scientific article

Sensitivity Analysis of Gaussian Processes for Oceanic Chlorophyll Prediction 2015. Scientific lecture

Kernel Covariance Series Smoothing 2015. Scientific lecture

Prediction of Surgical Complications using Heterogeneous Clinical Data and Kernel Methods 2015. Scientific lecture

Consensus Clustering Using kNN Mode Seeking pp. 175 186 , doi: https://doi.org/10.1007/978-3-319-19665-7_15 , 2015. Scientific chapter / article / conference article

Spectral clustering with the probabilistic cluster kernel Neurocomputing, vol. 149, pp. 1299 1304 , (ISSN 0925-2312 1872-8286 ), doi: https://doi.org/10.1016/j.neucom.2014.08.068 , 2015. Scientific article

Data-driven Temporal Prediction of Surgical Site Infection AMIA Annual Symposium Proceedings, (ISSN 1559-4076 1942-597X ), 2015. Scientific article

Predicting Postoperative Delirium Using Anchors. 2015. Poster

Kernel covariance series smoothing IEEE Workshop on Machine Learning for Signal Processing, vol. 2015-November, pp. 1 6 , (ISSN 2161-0363 2161-0371 ), doi: https://doi.org/10.1109/MLSP.2015.7324380 , 2015. Scientific article

Arnt Børre Salberg; Siri Øyen Larsen; Robert Jenssen; Classification of ocean surface slicks in hybrid-polarimetric SAR data Proceedings of SPIE, the International Society for Optical Engineering, vol. 9244, pp. 14 , (ISSN 0277-786X 1996-756X ), doi: https://doi.org/10.1117/12.2067474 , 2014. Scientific article

Information theoretic clustering using a k-nearest neighbors approach Pattern Recognition, vol. 47, pp. 3070 3081 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2014.03.018 , 2014. Scientific article

Mean Shift Spectral Clustering Using Kernel Entropy Component Analysis 2014. Poster

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage 2014. Lecture

Feature selection using Kernel Component Analysis For Early Detection Of Anastomosis Leakage , 2014. Scientific lecture

Mean Vector Component Analysis for Visualization and Clustering of Nonnegative Data IEEE Transactions on Neural Networks and Learning Systems, vol. 24, pp. 1553 1564 , (ISSN 2162-237X 2162-2388 ), doi: https://doi.org/10.1109/TNNLS.2013.2262774 , 2013. Scientific article

A new information theoretic clustering algorithm based on k-nn 2013. Scientific lecture

Entropy-Relevant Dimensions in Kernel Feature Space 2013. Scientific lecture

Mean vector component analysis: A New approach to un-centered PCA for non-negative data IEEE Workshop on Machine Learning for Signal Processing, pp. 1 6 , (ISSN 2161-0363 2161-0371 ), doi: https://doi.org/10.1109/MLSP.2013.6661966 , 2013. Scientific article

Mean vector component analysis: A New approach to un-centered PCA 2013. Scientific lecture

A new information theoretic clustering algorithm based on k-nn IEEE Workshop on Machine Learning for Signal Processing, pp. 1 6 , (ISSN 2161-0363 2161-0371 ), doi: https://doi.org/10.1109/MLSP.2013.6661968 , 2013. Scientific article

Entropy-relevant dimensions in the kernel feature space IEEE Signal Processing Magazine, vol. 30, pp. 30 39 , (ISSN 1053-5888 1558-0792 ), doi: https://doi.org/10.1109/MSP.2013.2249692 , 2013. Scientific article

Machine learning and applications at the University of Tromso 2013. Scientific lecture

Arnt Børre Salberg; Robert Jenssen; Land-cover classification of partly missing data using support vector machines International Journal of Remote Sensing, vol. 33, pp. 4471 4481 11 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2011.648378 , 2012. Scientific article

Kernel Entropy Component Analysis for Remote Sensing Image Clustering IEEE Geoscience and Remote Sensing Letters, vol. 9, pp. 312 316 , (ISSN 1545-598X 1558-0571 ), doi: https://doi.org/10.1109/LGRS.2011.2167212 , 2012. Scientific article

Background on Information Theoretic Learning 2012. Scientific lecture

Machine Learning for Data Analysis @ UiT 2012. Lecture

MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO 2012. Scientific lecture

MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO pp. 1 6 , doi: https://doi.org/10.1109/mlsp.2012.6349814 , 2012. Scientific chapter / article / conference article

Kernel Entropy Component Analysis: A Unifying View 2012. Scientific lecture

A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines PLOS ONE, vol. 7, (ISSN 1932-6203 ), doi: https://doi.org/10.1371/journal.pone.0042947 , 2012. Scientific article

NST - IBM Workshop: Machine Learning @ UiT 2012. Scientific lecture

Machine Learning @ UiT 2011. Lecture

Kernel Entropy Component Analysis in Remote Sensing Data Clustering 2011. Scientific lecture

A New Scatter-Based Multi-Class Support Vector Machine 2011. Scientific lecture

Kernel Entropy Component Analysis 2011. Scientific lecture

Kernel Entropy Component Analysis: New Theory and Semi-Supervised Learning 2011. Scientific lecture

"Intelligente" læringssystemer: Fra leken Furby til spamfiltre til miljø 2010. Lecture

Clustering with ITL Principles pp. 263 298 , 2010. Scientific chapter / article / conference article

Information theoretic clustering Scholarpedia, vol. 5 (10): 5189, (ISSN 1941-6016 ), doi: https://doi.org/10.4249/scholarpedia.5189 , 2010. Article journal

Kernel Entropy Component Analysis IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 847 860 , (ISSN 0162-8828 1939-3539 ), doi: https://doi.org/10.1109/TPAMI.2009.100 , 2010. Scientific article

A Reproducing Kernel Kernel Hilbert Space Framework for ITL pp. 351 384 , 2010. Scientific chapter / article / conference article

Arnt Børre Salberg; Jon Yngve Hardeberg; Robert Jenssen; Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings (ISSN 3-642-02229-4 ), 2009. Scientific anthology / conference series

Arnt-Børre Salberg; Jon Yngve Hardeberg; Robert Jenssen; Image Analysis, 16th Scandinavian Conference Proceedings (SCIA), Oslo, Norway, June 2009, Springer Verlag Lecture Notes in Computer Science, LNCS 5575 (ISSN 978-3-642-02229-6 ), 2009. Non fiction book

Information Theoretic Learning and Kernel Methods pp. 209 230 , 2009. Scientific chapter / article / conference article

Kernel Entropy Component Analysis Pre-Images for Pattern Denoising pp. 626 635 , , 2009. Scientific chapter / article / conference article

Maskinlæring for Dataanalyse: Eksempler på anvendelser, "close-up" på spamfilter og Google PageRank 2008. Lecture

Maskinlæring for Dataanalyse: Eksempler på anvendelser, "close-up" på spamfilter og Google PageRank 2008. Lecture

New Information Theoretic Learning and Kernel Methods 2008. Scientific lecture

Mean shift spectral clustering Pattern Recognition, vol. 41, pp. 1924 1938 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2007.09.009 , 2008. Scientific article

Indefinite Parzen Window for Spectral Clustering 2007. Scientific lecture

Spectral Clustering of Polarimetric SAR Data with Wishart Derived Distance Measure , 2007. Scientific lecture

Information Cut for Clustering using a Gradient Descent Approach Pattern Recognition, vol. 40, pp. 796 806 , (ISSN 0031-3203 1873-5142 ), 2007. Scientific article

The Laplacian classifier IEEE Transactions on Signal Processing, vol. 55, pp. 3262 3271 , (ISSN 1053-587X 1941-0476 ), doi: https://doi.org/10.1109/TSP.2007.894391 , 2007. Scientific article

Classification of Polarimetric SAR Data with an Information Theoretic Kernel Method 2006. Scientific lecture

Spectral feature projections that maximize Shannon mutual information with class labels Pattern Recognition, vol. 39, pp. 1241 1252 , (ISSN 0031-3203 1873-5142 ), 2006. Scientific article

Experimental Upper Bound for Convolutive Mixtures of Speech by Maximizing SIR 2006. Poster

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm 2006. Poster

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm 2006. Poster

An Information Theoretic Perspective to Kernel K-Means 2006. Poster

The Cauchy-Schwarz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels Journal of the Franklin Institute, vol. 343, pp. 614 629 , (ISSN 0016-0032 1879-2693 ), 2006. Scientific article

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, vol. 45, pp. 67 83 , (ISSN 0922-5773 1573-109X ), 2006. Scientific article

Some Equivalences Between Kernel Methods and Information Theoretic Methods Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, vol. 45, pp. 49 65 , (ISSN 0922-5773 1573-109X ), 2006. Scientific article

Optimizing the Cauchy-Schwarz PDF distance for information theoretic, non-parametric clustering Lecture Notes in Computer Science (LNCS), vol. 3757, (ISSN 0302-9743 1611-3349 ), 2005. Scientific article

An Information Theoretic Perspective to Kernel Independent Component Analysis 2005. Scientific lecture

The Laplacian Spectral Classifier 2005. Poster

Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-Parametric Clustering 2005. Poster

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space 2005. Poster

Presentasjon av Institutt for fysikk, Forskningstorget 2005 2005. Lecture

Towards a Unification of Information Theoretic Learning and Kernel Methods 2004. Lecture

Multivariate Density Estimation with Optimal Marginal Parzen Density Estimation and Gaussianization 2004. Lecture

The Information Cut and Graph Spectral Clustering 2004. Scientific lecture

Fysikk som Rocker: Multikonsert og hjernesignaler 2004. Lecture

Fysikk som Rocker: Multikonsert og hjernesignaler 2004. Lecture

Information Theoretic Clustering: A Unifying Review of Three Recent Algorithms 2004. Lecture

Information Theoretic Spectral Clustering 2004. Lecture

Cauchy-Schwartz pdf Divergence Measure for non-Parametric Clustering 2003. Scientific lecture

Information Force Clustering using Directed Trees 2003. Scientific lecture

Information Cut and Information Forces for Clustering 2003. Scientific lecture

Clustering using Renyi's Entropy 2003. Scientific lecture

ICA Filter Bank for Segmentation of Textured Images 2003. Poster

Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response 2003. Poster

Independent Component Analysis for Texture Segmentation Pattern Recognition, vol. 36, pp. 2301 2315 , (ISSN 0031-3203 1873-5142 ), 2003. Scientific article

Fysikk som Rocker 2003. Lecture

Fysikk som Rocker 2003. Lecture

Alfred Hanssen; Robert Jenssen; Kristian Hindberg; Fysikk som rocker 2003. Media interview

Alfred Hanssen; Robert Jenssen; Kristian Hindberg; Fysikk som rocker 2003. Media interview

Alfred Hanssen; Robert Jenssen; Kristian Hindberg; Fysikk som rocker 2003. Media interview

Taleseparering, CD-spiller og multikonsert 2002. Lecture

Taleseparering 2002. Lecture

Institutt for Fysikk - Presentasjon til Ungdomskoleelever 2002. Lecture

CD-spilleren og Multikonsert 2002. Lecture

CD-spilleren og Multikonsert 2002. Lecture

CD-spilleren og Multikonsert 2002. Lecture

Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

CD-spillerens virkemåte 2001. Lecture

CD-spillerens virkemåte 2001. Lecture