Robert Jenssen
Thea Brüsch,
Kristoffer Wickstrøm,
Mikkel N. Schmidt,
Robert Jenssen,
Tommy Sonne Alstrøm
:
FLEXtime: Filterbank Learning to Explain Time Series
Communications in Computer and Information Science (CCIS) 14. Oct 2025 DOI
Teresa Dorszewski,
Lenka Tětková,
Robert Jenssen,
Lars Kai Hansen,
Kristoffer Knutsen Wickstrøm
:
From Colors to Classes: Emergence of Concepts in Vision Transformers
12. Oct 2025 DOI
Rogelio Andrade Mancisidor,
Robert Jenssen,
Shujian Yu,
Michael Kampffmeyer
:
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Proceedings of Machine Learning Research (PMLR) 2025
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 20. Sep 2025 DOI
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 11. Apr 2025 DOI
Lars Uebbing,
Harald Lykke Joakimsen,
Luigi Tommaso Luppino,
Iver Martinsen,
Andrew McDonald,
Kristoffer Wickstrøm
et al.:
Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting
Proceedings of Machine Learning Research (PMLR) 2025 DOI
Changkyu Choi,
Arangan Subramaniam,
Nils Olav Handegard,
Ali Ramezani-Kebrya,
Robert Jenssen
:
Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration
2025 ARKIV
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 2025 DOI
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) 16. Jun 2025 DOI
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Andrew McDonald,
Scott Hosking,
Robert Jenssen
:
Interrogating Sea Ice Predictability with Gradients
Duy Khoi Tran,
van Nhan Nguyen,
Davide Roverso,
Robert Jenssen,
Michael Christian Kampffmeyer
:
LSNetv2: Improving weakly supervised power line detection with bipartite matching
Kaizhong Zheng,
Shujian Yu,
Baojuan Li,
Robert Jenssen,
Badong Chen
:
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
Bjørn Møller,
Christian Igel,
Kristoffer Knutsen Wickstrøm,
Jon Sporring,
Robert Jenssen,
Bulat Ibragimov
:
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Jose Principe
:
Cauchy-Schwarz Divergence Information Bottleneck for Regression
International Conference on Learning Representations 2024 FULLTEKST
Robert Jenssen,
Kerstin Bach
:
Proceedings of the Symposium of the Norwegian AI Society 2025
CEUR-WS 2025 FULLTEKST
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
et al.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
07. Dec 2025
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
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE - Neural Operator Function Embedding
2025
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
et al.:
NOFE Neural Operator Function Embedding
2025 DOI
Solveig Thrun,
Stine Hansen,
Nele Blum,
Maik Stille,
Robert Jenssen,
Michael Kampffmeyer
:
TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
08. Jan 2025
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
20. Sep 2025
Robert Jenssen
:
Norges eldste fagmiljø innen KI
09. Mar 2025 DOI
Robert Jenssen,
Kerstin Bach,
Petter Bjørklund
:
UiT er vertskap for landsdekkende KI-konferanse
uit.no 02. Apr 2025 DOI
Robert Jenssen,
Kristian Stave,
Ulvhild Søyland Due,
Linn Merethe Ophaug
:
Studenter etterlyser bedre informasjon om KI-regler på eksamen
03. Mar 2025 DOI
Robert Jenssen,
Cathrine Tegnander,
Dag Rune Olsen,
Ragnhild Sjoner Syrstad,
André Teigland,
Sven Størmer Thaulow
et al.:
Forskningsdrevet innovasjon innen KI: Hvordan styrker vi det sammen?
12. Aug 2025 DOI
Elisabeth Wetzer,
Suaiba Amina Salahuddin,
Robert Jenssen,
Michael Christian Kampffmeyer,
Torkil Stoltz
:
Verdens nordligste KI-konferanse
08. Jan 2025
Arangan Subramaniam,
Changkyu Choi,
Nils Olav Handegard,
Robert Jenssen,
Ali Ramezani-Kebrya
:
Marine Intelligence: Innovations to Enhance Underwater Exploration
2025
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
2025
Petter Bjørklund,
Elisabeth Wetzer,
Robert Jenssen
:
UiT-forsker invitert til prestisje-konferanse for Nobelpris-vinnere
uit.no 2024
Robert Jenssen,
August Hansen
:
Intervju om KI innen helsesektoren på NRK Radio
14. Aug 2024
Petter Bjørklund,
Michael Christian Kampffmeyer,
Arnt-Børre Salberg,
Robert Jenssen
:
Full klaff for KI-konferansen i Tromsø
uit.no 2024 FULLTEKST
Robert Jenssen,
Keyur Radiya,
Torkild Jemterud
:
Den store serien om KI (4:10) - Vaktskifte: Dr. KI stempler inn
06. Apr 2024
Petter Bjørklund,
Robert Jenssen,
Klas Henning Pettersen
:
Til Tromsø for å diskutere kunstig intelligens
uit.no 2024 FULLTEKST
Robert Jenssen,
Kristoffer Knutsen Wickstrøm,
Petter Bjørklund
:
Slik kan kunstig intelligens hjelpe legene
Forskning.no 2024
Robert Jenssen
:
NRK-intervju om Northern Lights Deep Learning Conference 2024
05. Jan 2024
Robert Jenssen,
Luigi Tommaso Luppino,
Rune Endresen Ytreberg,
Mark Andrew Girolami,
Iver Martinsen,
Harald Lykke Joakimsen
:
Midt i skitværet spår de bedre og raskere værmelding
10. Jan 2024
Robert Jenssen,
Ole-Christoffer Granmo,
Eldrid Borgan
:
Kan norsk oppfinnelse revolusjonere kunstig intelligens?
31. Jan 2024
Robert Jenssen,
Rolf Ole Lindsetmo,
Karl Øyvind Mikalsen,
Oddny Johnsen
:
Markerer Tromsøs fortrinn på kunstig intelligens
19. Apr 2024
Robert Jenssen
:
KI og pasientsikkerhet
2024
Robert Jenssen
:
Kunstig intelligens - Hva er det? Hvordan kan det (mis)brukes?
2024
Robert Jenssen,
Shujian Yu
:
Discrepancies to incorporate
knowledge
2024
Robert Jenssen
:
Towards eXplainable AI (XAI) with deep learning
2024
Robert Jenssen,
Michael Christian Kampffmeyer
:
Visual Intelligence Research and Innovation
2024
Robert Jenssen
:
Kunstig intelligens i transfusjonsmedisin
2024
Robert Jenssen
:
XAI for representation learning
2024
Robert Jenssen,
Michael Christian Kampffmeyer
:
Visual Intelligence Research and Innovations
2024
Robert Jenssen
:
KI i havnæringene?
2024
Robert Jenssen
:
Exploiting data acquisition knowledge for cardiac ultrasound and content-based CT image retrieval
2024
Robert Jenssen
:
AI for acoustic fish target detection and beyond
2024
Robert Jenssen
:
Medical Image Analysis for Cardiac Ultrasound and CT Image Retrieval
2024
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