Robert Jenssen
Robert Jenssen
:
MAP IT to Visualize Representations
International Conference on Learning Representations 2024
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Jose Principe
:
Cauchy-Schwarz Divergence Information Bottleneck for Regression
International Conference on Learning Representations 2024 FULLTEKST
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
International Conference on Learning Representations 2024
Samuel Kuttner,
Luigi Tommaso Luppino,
Laurence Convert,
Otman Sarrhini,
Roger Lecomte,
Michael Christian Kampffmeyer
et al.:
Deep learning derived input function in dynamic [18F]FDG PET imaging of mice
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Christian Kampffmeyer
:
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
Duy Khoi Tran,
van Nhan Nguyen,
Davide Roverso,
Robert Jenssen,
Michael Christian Kampffmeyer
:
LSNetv2: Improving weakly supervised power line detection with bipartite matching
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Andrew McDonald,
Scott Hosking,
Robert Jenssen
:
Interrogating Sea Ice Predictability with Gradients
IEEE Geoscience and Remote Sensing Letters 2024 DOI
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 2024 DOI
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 2024 DOI
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) 2024 ARKIV
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
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
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
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
Ane Blazquez-Garcia,
Kristoffer Knutsen Wickstrøm,
Shujian Yu,
Karl Øyvind Mikalsen,
Ahcene Boubekki,
Angel Conde
et al.:
Selective Imputation for Multivariate Time Series Datasets with Missing Values
Kristoffer Wickstrøm,
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Ahcene Boubekki,
Karl Øyvind Mikalsen,
Michael Kampffmeyer
et al.:
RELAX: Representation Learning Explainability
Changkyu Choi,
Michael Kampffmeyer,
Nils Olav Handegard,
Arnt-Børre Salberg,
Robert Jenssen
:
Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data
Daniel Johansen Trosten,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
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
Robert Jenssen,
August Hansen
:
Intervju om KI innen helsesektoren på NRK Radio
14. Aug 2024
Robert Jenssen,
Kristoffer Knutsen Wickstrøm,
Petter Bjørklund
:
Slik kan kunstig intelligens hjelpe legene
Forskning.no 2024
Robert Jenssen,
Keyur Radiya,
Torkild Jemterud
:
Den store serien om KI (4:10) - Vaktskifte: Dr. KI stempler inn
06. Apr 2024
Petter Bjørklund,
Michael Christian Kampffmeyer,
Arnt-Børre Salberg,
Robert Jenssen
:
Full klaff for KI-konferansen i Tromsø
uit.no 2024
Petter Bjørklund,
Elisabeth Wetzer,
Robert Jenssen
:
UiT-forsker invitert til prestisje-konferanse for Nobelpris-vinnere
uit.no 2024
Petter Bjørklund,
Robert Jenssen,
Klas Henning Pettersen
:
Til Tromsø for å diskutere kunstig intelligens
uit.no 2024
Robert Jenssen,
Rolf Ole Lindsetmo,
Therese Hoseth Blomsø,
Solveig Sand-Hanssen Hofvind,
Even A. Røed,
Mathias K. Hauglid
et al.:
Hvordan implementerer vi KI for bruk i helsesektoren på en trygg måte?
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
:
Til Tromsø for å diskutere kunstig intelligens
07. Jan 2024
Lars Uebbing,
Harald Lykke Joakimsen,
Luigi Tommaso Luppino,
Iver Martinsen,
Andrew McDonald,
Kristoffer Knutsen Wickstrøm
et al.:
Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting
2024
Robert Jenssen
:
UiT – Et nasjonalt tyngdepunkt innen KI
2024
Robert Jenssen
:
KI i havnæringene?
2024
Robert Jenssen
:
Towards eXplainable AI (XAI) with deep learning
2024
Robert Jenssen
:
KI og pasientsikkerhet
2024
Robert Jenssen
:
AI for acoustic fish target detection and beyond
2024
Robert Jenssen
:
Exploiting data acquisition knowledge for cardiac ultrasound and content-based CT image retrieval
2024
Robert Jenssen
:
Kunstig intelligens i transfusjonsmedisin
2024
Robert Jenssen,
Shujian Yu
:
Discrepancies to incorporate
knowledge
2024
Robert Jenssen,
Michael Christian Kampffmeyer
:
Visual Intelligence Research and Innovation
2024
Robert Jenssen
:
Medical Image Analysis for Cardiac Ultrasound and CT Image Retrieval
2024
Robert Jenssen
:
Kunstig intelligens - Hva er det? Hvordan kan det (mis)brukes?
2024
Robert Jenssen
:
XAI for representation learning
2024
Petter Bjørklund,
Robert Jenssen,
Kristoffer Knutsen Wickstrøm
:
KI har superkrefter som kan hjelpe legene våre
uit.no 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
:
Kunstig intelligens - Finnes det en mer "bankers" karrierevei?
2024
Robert Jenssen
:
Kunstig intelligens Hva er det? Hvordan kan det (mis)brukes?
2024
Robert Jenssen
:
Effekter av KI i ulike deler av samfunnet: Hvordan kan forskere og politikere bidra til at KI gagner oss best mulig?
2024
Robert Jenssen,
Michael Christian Kampffmeyer
:
Visual Intelligence Research and Innovations
2024
Robert Jenssen
:
Presentasjon av toppforskning innen KI ved UiT
2024
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