Robert Jenssen

Christian Salomonsen; Luigi T. Luppino; Fredrik Emil Aspheim; Kristoffer Wickstrøm; Elisabeth Wetzer; Michael Kampffmeyer; Rodrigo Berzaghi; Rune Sundset; Robert Jenssen; Samuel Kuttner; A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging EJNMMI Research, (ISSN 2191-219X ), doi: https://doi.org/10.1186/s13550-026-01398-9 , 2026. Scientific article

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; Scott Hosking; Kristoffer Wickstrøm; Sebastien Francois Lefevre; Arnt Børre Salberg; Robert Jenssen; Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting Proceedings of Machine Learning Research (PMLR), vol. 265, (ISSN 2640-3498 ), doi: https://proceedings.mlr.press/v265/uebbing25a.html , 2025. Scientific article

Shujian Yu; Jose C. Principe; Sigurd Eivindson Løkse; Robert Jenssen; The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, pp. 5901 5917 , (ISSN 0162-8828 1939-3539 ), doi: https://doi.org/10.1109/TPAMI.2025.3552434 , 2025. Scientific article

Arangan Subramaniam; Changkyu Choi; Nils Olav Handegard; Robert Jenssen; Ali Ramezani-Kebrya; Marine Intelligence: Innovations to Enhance Underwater Exploration 2025. Poster

Changkyu Choi; Arangan Subramaniam; Nils Olav Handegard; Ali Ramezani-Kebrya; Robert Jenssen; Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration CEUR Workshop Proceedings, vol. 3975, (ISSN 1613-0073 ), doi: https://ceur-ws.org/Vol-3975/ , 2025. Scientific 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; Robert Jenssen; 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), vol. 15726, (ISSN 0302-9743 1611-3349 ), doi: 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

Robert Jenssen; Cathrine Tegnander; Dag Rune Olsen; Ragnhild Sjoner Syrstad; André Teigland; Anne Kjersti Fahlvik; Kerstin Bach; Forskningsdrevet innovasjon innen KI: Hvordan styrker vi det sammen? doi: https://www.youtube.com/watch?v=wLoIrF8uAdc&t , 2025. Other presentation

Lars Uebbing; Harald Lykke Joakimsen; Kristoffer Wickstrøm; Michael Kampffmeyer; Sebastien Francois Lefevre; Arnt Børre Salberg; Robert Jenssen; NOFE - Neural Operator Function Embedding 2025. Poster

Lars Uebbing; Harald Lykke Joakimsen; Kristoffer Wickstrøm; Michael Kampffmeyer; Sebastien Francois Lefevre; Arnt Børre Salberg; Robert Jenssen; NOFE Neural Operator Function Embedding doi: https://ai4eo2025.irisa.fr/ , 2025. Scientific lecture

Rogelio Andrade Mancisidor; Robert Jenssen; Shujian Yu; Michael Kampffmeyer; Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders Proceedings of Machine Learning Research (PMLR), vol. 267, pp. 1 26 , (ISSN 2640-3498 ), doi: https://proceedings.mlr.press/v267/a-mancisidor25a.html , 2025. Scientific article

Solveig Thrun; Stine Hansen; Maik Stille; Robert Jenssen; Michael Kampffmeyer; TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms 2025. Poster

Solveig Thrun; Stine Hansen; Maik Stille; Suaiba Amina Salahuddin; Kristoffer Wickstrøm; Elisabeth Wetzer; Robert Jenssen; Michael Kampffmeyer; Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction 2025. Poster

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

Petter Bjørklund; UiT er vertskap for landsdekkende KI-konferanse uit.no, doi: 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://www.nrk.no/tromsogfinnmark/forvirring-rundt-ki-reglement-blant-studenter-ved-uit-1.17298416 , 2025. Media interview

Kristoffer Wickstrøm; Thea Brüsch; Michael Kampffmeyer; Robert Jenssen; REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability | Proceedings of the AAAI Conference on Artificial Intelligence Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, pp. 8341 8350 , (ISSN 2159-5399 2374-3468 ), doi: https://doi.org/10.1609/aaai.v39i8.32900 , 2025. Scientific article

Solveig Thrun; Stine Hansen; Maik Stille; Suaiba Amina Salahuddin; Kristoffer Wickstrøm; Elisabeth Wetzer; Robert Jenssen; Michael Kampffmeyer; Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction Lecture Notes in Computer Science (LNCS), vol. 15961, pp. 495 505 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-032-04937-7_47 , 2025. Scientific article

Tommy Sonne Alstrøm; Kristoffer Wickstrøm; Robert Jenssen; FLEXtime: Filterbank Learning to Explain Time Series Communications in Computer and Information Science (CCIS), vol. 2579, pp. 243 267 , (ISSN 1865-0929 1865-0937 ), doi: https://doi.org/10.1007/978-3-032-08330-2_12 , 2025. Scientific article

Lars Kai Hansen; Robert Jenssen; Kristoffer Knutsen Wickstrøm; From Colors to Classes: Emergence of Concepts in Vision Transformers Communications in Computer and Information Science (CCIS), vol. 2576, pp. 28 47 , (ISSN 1865-0929 1865-0937 ), doi: https://doi.org/10.1007/978-3-032-08317-3_2 , 2025. Scientific article

Johan Mylius-Kroken; Kristoffer Wickstrøm; Elisabeth Wetzer; Ali Ramezani-Kebrya; Robert Jenssen; Can a Convex Partition caused by a CPWL Neural Network be used for Density Estimation? National conference on image processing and machine learnin, 2025. Abstract

Solveig Thrun; Stine Hansen; Maik Stille; Suaiba Amina Salahuddin; Kristoffer Wickstrøm; Elisabeth Wetzer; Robert Jenssen; Michael Kampffmeyer; Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction 2025. Poster

Geir Halnes; Anam Javaid; Amber Leeson; Stefano Nichele; Michael Riegler; Bjørn-Jostein Singstad; Baltasar Beferull-Lozano; Emilio Ruiz Moreno; Luis M. Lopez-Ramos; Ola Huse Ramstad; Arina Surko; Axel Sandvig; Hasan Ogul; Ioanna Sandvig; Christopher Vibe; Kushtrim Visoka; Sinan Ugur Umu; Klaus Johannsen; Julia Kropiunig; Ryan Anthony Marinelli; Fadi Al Machot; Xue-Cheng Tai; Andrea Alessandro Gasparini; Gro Fonnes; Cise Midoglu; Anton Tkachenko; Kari-Anne Kallerud Lyng; Florenc Demrozi; Junyong You; Signe Riemer-Sørensen; Benjamin Daniel Adolphi; Martin Thomas Horsch; Ibrahim Riza Hallac; Lina Plataniti; Mikkel Elle Lepperød; Changkyu Choi; Heinz Adolf Preisig; Alexander Johannes Stasik; Saeed Shafiee Sabet; Nils Olav Handegard; Robert Jenssen; Solve Sæbø; Synnøve Rubach; Waldir Leoncio Netto; Pankaj Pandey; Arezo Shakeri; Shailendra Singh; Ali Ramezani-Kebrya; Pål Halvorsen; Matteo Iervasi; Mathis Korseberg Stokke; Tomas Kupka; Helge Fredriksen; Felix Simon Reimers; Proceedings of NORA’s annual conference 2025 Nordic Machine Intelligence (NMI), vol. 5, pp. 1 14 , (ISSN 2703-9196 ), doi: https://doi.org/10.5617/nmi.12551 , 2025. Abstract

Durgesh Kumar Singh; Ahcène Boubekki; Sarina Thomas; Robert Jenssen; Michael Kampffmeyer; WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements Lecture Notes in Computer Science (LNCS), vol. 16165, pp. 218 227 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-032-06329-8_21 , 2025. Scientific article

Badong Chen; Shujian Yu; Robert Jenssen; Generalized Cauchy–Schwarz divergence: Efficient estimation and applications in deep learning Neurocomputing, vol. 652, (ISSN 0925-2312 1872-8286 ), doi: https://doi.org/10.1016/j.neucom.2025.130904 , 2025. Scientific article

Christian Salomonsen; Samuel Kuttner; Michael Kampffmeyer; Robert Jenssen; Kristoffer Wickstrøm; Jong Chul Ye; Elisabeth Wetzer; Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN , 2025. Poster

Christian Salomonsen; Samuel Kuttner; Michael Kampffmeyer; Robert Jenssen; Kristoffer Wickstrøm; Jong Chul Ye; Elisabeth Wetzer; Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN Medical imaging meets Eurips (MedEurIPS), doi: https://openreview.net/forum?id=OVQxa48epX&nesting=2&sort=date-desc , 2025. Abstract

Durgesh Kumar Singh; Ahcene Boubekki; Robert Jenssen; Michael Kampffmeyer; SuperCM: Improving semi-supervised learning and domain adaptation through differentiable clustering Pattern Recognition, vol. 171, pp. 112117 112117 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2025.112117 , 2025. Scientific article

Thea Brüsch; Kristoffer Wickstrøm; Mikkel N. Schmidt; Tommy Sonne Alstrøm; Robert Jenssen; FreqRISE: Explaining time series using frequency masking Proceedings of Machine Learning Research (PMLR), vol. 265, pp. 16 31 , (ISSN 2640-3498 ), doi: https://proceedings.mlr.press/v265/brusch25a.html , 2025. Scientific article

Daniel Johansen Trosten; Sigurd Eivindson Løkse; Robert Jenssen; Michael Christian Kampffmeyer; 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

Changkyu Choi; Shujian Yu; Michael Christian Kampffmeyer; Arnt-Børre Salberg; Nils Olav Handegard; Robert Jenssen; 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; Even A. Røed; Solveig Sand-Hanssen Hofvind; Mathias K. Hauglid; Rune Nordgård Andreassen; 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

Bulat Ibragimov; Kristoffer Knutsen Wickstrøm; Robert Jenssen; 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

Robert Jenssen; 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://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; Scott Hosking; Kristoffer Knutsen Wickstrøm; Sebastien Francois Lefevre; Arnt Børre Salberg; Robert Jenssen; Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting 2024. Poster

Changkyu Choi; Michael Kampffmeyer; Nils Olav Handegard; Arnt-Børre Salberg; Robert Jenssen; 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

Kristoffer Wickstrøm; Eirik Agnalt Østmo; Keyur Radiya; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; 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

Daniel Johansen Trosten; Rwiddhi Chakraborty; Sigurd Eivindson Løkse; Kristoffer Wickstrøm; Robert Jenssen; Michael Kampffmeyer; 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

Daniel Johansen Trosten; Sigurd Eivindson Løkse; Robert Jenssen; Michael Kampffmeyer; 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

Eirik Agnalt Østmo; Kristoffer Wickstrøm; Keyur Radiya; Michael Kampffmeyer; Robert Jenssen; 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

Kristoffer Wickstrøm; Sigurd Eivindson Løkse; Michael Kampffmeyer; Shujian Yu; José C. Príncipe; Robert Jenssen; 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

Jose A. Lozano; Kristoffer Knutsen Wickstrøm; Shujian Yu; Karl Øyvind Mikalsen; Ahcene Boubekki; Robert Jenssen; 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

Rogelio Andrade Mancisidor; Michael Christian Kampffmeyer; Kjersti Aas; Robert Jenssen; 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

Line H. Clemmensen; Ahcene Boubekki; Michael Christian Kampffmeyer; Robert Jenssen; 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; Michael Kampffmeyer; Deep Clustering with the Cauchy-Schwarz Divergence 2022. Scientific lecture

Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen; 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

Kristoffer Wickstrøm; Michael Kampffmeyer; Karl Øyvind Mikalsen; Robert Jenssen; 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; Suaiba Amina Salahuddin; Robert Jenssen; Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior 2022. Poster

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

Kristoffer Wickstrøm; Gusatu Camps-Valls; Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; 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 , (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

Huamin Ren; Xiaomeng Su; Robert Jenssen; Jingyue Li; Stian Normann Anfinsen; 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

Robert Jenssen; Kunstig intelligens-utdanninger for helse ved UiT 2022. Lecture

Robert Jenssen; Computer vision for power line monitoring 2022. Scientific lecture

Robert Jenssen; Innovasjon i Visual Intelligence 2022. Lecture

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

Robert Jenssen; Pasientnær kunstig intelligens 2022. Lecture

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

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

Robert Jenssen; Visual Intelligence for medical image analysis 2022. Scientific lecture

Robert Jenssen; Women in AI panel debate 2022. Lecture

Robert Jenssen; Towards XAI and Visual Intelligence for health 2022. Scientific lecture

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

Robert Jenssen; Mot framtidas helsevesen med kunstig intelligens 2022. Lecture

Robert Jenssen; Presentation of SFI Visual Intelligence 2022. Lecture

Robert Jenssen; Paneldebatt framtidas helsevesen med AI 2022. Lecture

Robert Jenssen; Learning from limited data 2022. Lecture

Robert Jenssen; Visual Intelligence and graph neural networks 2022. Lecture

Robert Jenssen; Towards XAI and Visual Intelligence for health 2022. Scientific lecture

Robert Jenssen; Visual Intelligence and environmental monitoring 2022. Lecture

Robert Jenssen; 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

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; 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

Changkyu Choi; Michael Kampffmeyer; Nils Olav Handegard; Arnt Børre Salberg; Olav Brautaset; Line Eikvil; Robert Jenssen; 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

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, 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; Robert Jenssen; 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

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

Robert Jenssen; 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

Robert Jenssen; 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

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

Robert Jenssen; Kunstig intelligens og maskinlæring inn i helsetjenesten 2021. Lecture

Robert Jenssen; Kunstig intelligens - Forstå verden. Forvreng verden? 2021. Lecture

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

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

Robert Jenssen; Artificial intelligence towards the future of medicine 2021. Lecture

Robert Jenssen; Horfor satse på kunstig intelligens? 2021. Lecture

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

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

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

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

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

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

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

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

Jose C. Principe; Robert Jenssen; 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

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, vol. 115, (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2021.107896 , 2021. Scientific article

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, vol. 32, pp. 2169 2179 , (ISSN 2162-237X 2162-2388 ), doi: https://doi.org/10.1109/TNNLS.2020.3001377 , 2021. Scientific article

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 doi: https://doi.org/10.1109/ICCE50685.2021.9427652 , 2021. Scientific chapter / article / conference article

Samuel Kuttner; Kristoffer Knutsen Wickstrøm; Jan Axelsson; Rune Sundset; Robert Jenssen; 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

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

Robert Jenssen; Inger Solheim; Visual Intelligence SFI Overview 2021. Lecture

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 , 2021. Scientific lecture

Van Nhan Nguyen; Robert Jenssen; Davide Roverso; 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

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; 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

Rogelio Andrade Mancisidor; Michael Kampffmeyer; Kjersti Aas; Robert Jenssen; 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

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; 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

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, (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

Jianyu Tang; Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt Børre Salberg; 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

Qinghui Liu; Michael Kampffmeyer; Robert Jenssen; Arnt-Børre Salberg; 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

Robert Jenssen; 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

Jose C. Principe; Robert Jenssen; 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

Samuel Kuttner; Kristoffer Knutsen Wickstrøm; Gustav Kalda; Seyed Esmaeil Dorraji; Montserrat Martin-Armas; Ana Oteiza; Robert Jenssen; Kristin Andreassen Fenton; Rune Sundset; Jan Axelsson; 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

Karl Øyvind Mikalsen; Cristina Soguero Ruiz; Robert Jenssen; 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 , 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

Gregor Stiglic; Cristina Soguero Ruiz; Karl Øyvind Mikalsen; Robert Jenssen; Stein Olav Skrøvseth; 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

van Nhan Nguyen; Robert Jenssen; Davide Roverso; 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

Karl Øyvind Mikalsen; Cristina Soguero-Ruiz; Filippo Maria Bianchi; Robert Jenssen; 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

Filippo Maria Bianchi; Karl Øyvind Mikalsen; Robert Jenssen; 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

van Nhan Nguyen; Robert Jenssen; Davide Roverso; 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

Kristoffer Knutsen Wickstrøm; Michael C. Kampffmeyer; Robert Jenssen; 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

Karl Øyvind Mikalsen; Isabel Caballero López Fando; Robert Jenssen; 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

Andreas Storvik Strauman; Filippo Maria Bianchi; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Cristina Soguero-Ruiz; Robert Jenssen; 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

Mads Adrian Hansen; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Cristina Soguero-Ruiz; Robert Jenssen; Towards deep anchor learning pp. 315 318 , doi: https://doi.org/10.1109/BHI.2018.8333432 , 2018. Scientific chapter / article / conference article

Filippo Maria Bianchi; Simone Scardapane; Sigurd Løkse; Robert Jenssen; Bidirectional deep-readout echo state networks pp. 425 430 , , 2018. Scientific chapter / article / conference article

Sigurd Løkse; Robert Jenssen; 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 , 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; Robert Jenssen; 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

Luigi Tommaso Luppino; Stian Normann Anfinsen; Gregoire Mercier; Robert Jenssen; Filippo Maria Bianchi; 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

Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero Ruiz; Robert Jenssen; 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

Karl Øyvind Mikalsen; Cristina Soguero Ruiz; Kasper Jensen; Kristian Hindberg; Mads Gran; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Fred Godtliebsen; Robert Jenssen; 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

Sigurd Løkse; Filippo Maria Bianchi; Robert Jenssen; 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

Filippo Maria Bianchi; Michael C. Kampffmeyer; Enrico Maiorino; Robert Jenssen; Temporal overdrive recurrent neural network pp. 4275 4282 , doi: https://doi.org/10.1109/IJCNN.2017.7966397 , 2017. Scientific chapter / article / conference article

Filippo Maria Bianchi; Antonello Rizzi; Michael C. Kampffmeyer; Robert Jenssen; Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis (ISSN 9783319703381 ), 2017. Scientific monograph

Filippo Maria Bianchi; Cesare Alippi; Robert Jenssen; 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

Jonas Nordhaug Myhre; Michael C. Kampffmeyer; Robert Jenssen; Density ridge manifold traversal pp. 2342 2346 , doi: https://doi.org/10.1109/ICASSP.2017.7952575 , 2017. Scientific chapter / article / conference article

Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero Ruiz; Robert Jenssen; The time series cluster kernel 2017. Scientific chapter / article / conference article

Filippo Maria Bianchi; Cesare Alippi; Robert Jenssen; 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

Jonas Nordhaug Myhre; Robert Jenssen; Karl Øyvind Mikalsen; Sigurd Løkse; 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

Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Robert Jenssen; Lorenzo Livi; 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 (CVPRW), pp. 680 688 , (ISSN 2160-7508 2160-7516 ), 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

Gustau Camps-Valls; Robert Jenssen; 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

Katalin Blix; Gustau Camps-Valls; Robert Jenssen; 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

Jonas Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen; Robust Non-Parametric Mode Clustering 2016. Scientific lecture

José Luis Rojo-Álvarez; Kristian Hindberg; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Erlend Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen; 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

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

Jonas Nordhaug Myhre; Robert Jenssen; M. Devrim Kaba; Geometric interpretation of density ridges. 2016. Poster

Jonas Nordhaug Myhre; Michael C. Kampffmeyer; Robert Jenssen; Ambient space manifold learning using density ridges 2016. Poster

Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero-Ruiz; Stein Olav Skrøvseth; Rolv-Ole Lindsetmo; Arthur Revhaug; Robert Jenssen; Learning similarities between irregularly sampled short multivariate time series from EHRs , 2016. Scientific lecture

José Luis Rojo-Álvarez; Kristian Hindberg; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Erlend Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen; 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

Katalin Blix; Gustavo Camps-Valls; Robert Jenssen; Sensitivity Analysis of Gaussian Processes for Oceanic Chlorophyll Prediction 2015. Scientific lecture

Cristina Soguero-Ruiz; Robert Jenssen; Kernel Covariance Series Smoothing 2015. Scientific lecture

Jose Luis Rojo-Alvarez; Kristian Hindberg; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Erlend Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen; Prediction of Surgical Complications using Heterogeneous Clinical Data and Kernel Methods 2015. Scientific lecture

Jonas Nordhaug Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen; 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

Gustavo Camps-Valls; Robert Jenssen; 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

Inmaculada Mora Jiménez; Robert Jenssen; Knut Magne Augestad; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Data-driven Temporal Prediction of Surgical Site Infection AMIA Annual Symposium Proceedings, (ISSN 1559-4076 1942-597X ), 2015. Scientific article

Karl Øyvind Mikalsen; Robert Jenssen; Fred Godtliebsen; Stein Olav Skrøvseth; Arthur Revhaug; Rolv-Ole Lindsetmo; Kristian Hindberg; Mads Gran; Predicting Postoperative Delirium Using Anchors. 2015. Poster

Cristina Soguero-Ruiz; Robert Jenssen; 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, (ISSN 0277-786X 1996-756X ), doi: https://doi.org/10.1117/12.2067474 , 2014. Scientific article

Vidar Vangen Vikjord; Robert Jenssen; 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

Jørgen Andreas Agersborg; Robert Jenssen; Mean Shift Spectral Clustering Using Kernel Entropy Component Analysis 2014. Poster

Cristina Soguero-Ruiz; Stein Olav Skrøvseth; Knut Magne Augestad; Robert Jenssen; Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage 2014. Lecture

Jose Luis Rojo-Alvarez; Kristian Hindberg; Fred Godtliebsen; Kim Erlend Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Knut Magne Augestad; Robert Jenssen; Feature selection using Kernel Component Analysis For Early Detection Of Anastomosis Leakage , 2014. Scientific lecture

Robert Jenssen; 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

Robert Jenssen; Vidar Vikjord; A new information theoretic clustering algorithm based on k-nn 2013. Scientific lecture

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

Robert Jenssen; 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

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

Robert Jenssen; Vidar Vangen Vikjord; 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

Robert Jenssen; 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

Robert Jenssen; 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 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2011.648378 , 2012. Scientific article

Gustavo Camps-Valls; Robert Jenssen; 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

Robert Jenssen; Background on Information Theoretic Learning 2012. Scientific lecture

Robert Jenssen; Machine Learning for Data Analysis @ UiT 2012. Lecture

Jonas Nordhaug Myhre; Robert Jenssen; MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO 2012. Scientific lecture

Robert Jenssen; Jonas Nordhaug Myhre; 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

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

Robert Jenssen; Klaus R. Müller; 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

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

Robert Jenssen; Machine Learning @ UiT 2011. Lecture

Gustavo Camps-Valls; Robert Jenssen; Kernel Entropy Component Analysis in Remote Sensing Data Clustering 2011. Scientific lecture

Robert Jenssen; Klaus-Robert Muller; A New Scatter-Based Multi-Class Support Vector Machine 2011. Scientific lecture

Robert Jenssen; Kernel Entropy Component Analysis 2011. Scientific lecture

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

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

Robert Jenssen; S. Rao; Clustering with ITL Principles pp. 263 298 , 2010. Scientific chapter / article / conference article

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

Robert Jenssen; 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

Robert Jenssen; Antonio Paiva; 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 9783642022296 ), 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 9783642022296 ), 2009. Non fiction book

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

Robert Jenssen; Ola Kvisle Storås; Kernel Entropy Component Analysis Pre-Images for Pattern Denoising pp. 626 635 , , 2009. Scientific chapter / article / conference article

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

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

Robert Jenssen; New Information Theoretic Learning and Kernel Methods 2008. Scientific lecture

Deniz Erdogmus; Robert Jenssen; 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

Robert Jenssen; Indefinite Parzen Window for Spectral Clustering 2007. Scientific lecture

Stian Normann Anfinsen; Robert Jenssen; Torbjørn Eltoft; Spectral Clustering of Polarimetric SAR Data with Wishart Derived Distance Measure , 2007. Scientific lecture

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

Robert Jenssen; Jose C. Principe; Torbjørn Eltoft; 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

Stian Normann Anfinsen; Robert Jenssen; Torbjørn Eltoft; Classification of Polarimetric SAR Data with an Information Theoretic Kernel Method 2006. Scientific lecture

Deniz Erdogmus; Robert Jenssen; 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

Kenneth E. Hild; Robert Jenssen; Experimental Upper Bound for Convolutive Mixtures of Speech by Maximizing SIR 2006. Poster

Robert Jenssen; Deniz Erdogmus; Torbjørn Eltoft; Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm 2006. Poster

Robert Jenssen; Jose Principe; Torbjørn Eltoft; Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm 2006. Poster

Robert Jenssen; Torbjørn Eltoft; An Information Theoretic Perspective to Kernel K-Means 2006. Poster

Robert Jenssen; Deniz Erdogmus; Torbjørn Eltoft; 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

Jose Principe; Robert Jenssen; 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

Robert Jenssen; Torbjørn Eltoft; Jose Principe; 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

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; 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

Jose Principe; Robert Jenssen; An Information Theoretic Perspective to Kernel Independent Component Analysis 2005. Scientific lecture

Robert Jenssen; Jose Principe; Torbjørn Eltoft; The Laplacian Spectral Classifier 2005. Poster

Robert Jenssen; Jose Principe; Torbjørn Eltoft; Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-Parametric Clustering 2005. Poster

Robert Jenssen; Jose Principe; Torbjørn Eltoft; The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space 2005. Poster

Stian Normann Anfinsen; Robert Jenssen; Presentasjon av Institutt for fysikk, Forskningstorget 2005 2005. Lecture

Robert Jenssen; Jose Principe; Torbjørn Eltoft; Towards a Unification of Information Theoretic Learning and Kernel Methods 2004. Lecture

Jose Principe; Robert Jenssen; Multivariate Density Estimation with Optimal Marginal Parzen Density Estimation and Gaussianization 2004. Lecture

Robert Jenssen; The Information Cut and Graph Spectral Clustering 2004. Scientific lecture

Robert Jenssen; Fysikk som Rocker: Multikonsert og hjernesignaler 2004. Lecture

Robert Jenssen; Fysikk som Rocker: Multikonsert og hjernesignaler 2004. Lecture

Robert Jenssen; Torbjørn Eltoft; Jose Principe; Information Theoretic Clustering: A Unifying Review of Three Recent Algorithms 2004. Lecture

Robert Jenssen; Torbjørn Eltoft; Jose Principe; Information Theoretic Spectral Clustering 2004. Lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Cauchy-Schwartz pdf Divergence Measure for non-Parametric Clustering 2003. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Information Force Clustering using Directed Trees 2003. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Information Cut and Information Forces for Clustering 2003. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Clustering using Renyi's Entropy 2003. Scientific lecture

Robert Jenssen; Torbjørn Eltoft; ICA Filter Bank for Segmentation of Textured Images 2003. Poster

E. Castillo; Robert Jenssen; Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response 2003. Poster

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

Robert Jenssen; Fysikk som Rocker 2003. Lecture

Robert Jenssen; 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

Robert Jenssen; Taleseparering, CD-spiller og multikonsert 2002. Lecture

Robert Jenssen; Taleseparering 2002. Lecture

Robert Jenssen; Institutt for Fysikk - Presentasjon til Ungdomskoleelever 2002. Lecture

Robert Jenssen; CD-spilleren og Multikonsert 2002. Lecture

Robert Jenssen; CD-spilleren og Multikonsert 2002. Lecture

Robert Jenssen; CD-spilleren og Multikonsert 2002. Lecture

Robert Jenssen; Tor Arne Øigård; Torbjørn Eltoft; Alfred Hanssen; Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

Robert Jenssen; Tor Arne Øigård; Torbjørn Eltoft; Alfred Hanssen; Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

Robert Jenssen; CD-spillerens virkemåte 2001. Lecture

Robert Jenssen; CD-spillerens virkemåte 2001. Lecture