Robert Jenssen

Director

,

Visual Intelligence

Professor

,

UiT The Arctic University of Norway

UiT The Arctic University of Norway

Principal investigator of

Publications

Publications from Visual Intelligence

Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration

By authors:

Changkyu Choi, Arangan Subramaniam, Nils Olav Handegard, Ali Ramezani-Kebrya and Robert Jenssen

Published in:

Proceedings of the Symposium of the Norwegian AI Society 2025, CEUR Workshop Proceedings ( ISSN 1613-0073)

on

June 17, 2025

Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance

By authors:

Suaiba A. Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer and Robert Jenssen

Published in:

Lecture Notes in Computer Science (LNCS) 2025 ;Volum 15726.

on

June 16, 2025

LSNetv2: Improving weakly supervised power line detection with bipartite matching

By authors:

Tran, Duy Khoi; Nguyen, van Nhan; Roverso, Davide; Jenssen, Robert; Kampffmeyer, Michael Christian.

Published in:

Expert Systems with Applications, Volume 250 , 2024, 123773

on

September 15, 2024

BrainIB: Interpretable brain network-based psychiatric diagnosis with graph information bottleneck

By authors:

Zheng, Kaizhong; Yu, Shujian; Li, Baojuan; Jenssen, Robert; Chen, Badong.

Published in:

IEEE Transactions on Neural Networks and Learning Systems

on

September 13, 2024

Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks

By authors:

Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov

Published in:

Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36048-36071, 2024.

on

July 29, 2024

MAP IT to Visualize Representations

By authors:

Jenssen, Robert

Published in:

International Conference on Learning Representations 2024

on

May 7, 2024

Leveraging tensor kernels to reduce objective function mismatch in deep clustering

By authors:

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

Published in:

Pattern Recognition

on

May 1, 2024

DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning

By authors:

C. Choi, S. Yu, M. Kampffmeyer, A. -B. Salberg, N. O. Handegard and R. Jenssen

Published in:

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 7170-7174

on

April 14, 2024

Deep-learning-derived input function in dynamic [18F]FDG PET imaging of mice

By authors:

Kuttner, Samuel; Luppino, Luigi Tommaso; Convert, Laurence; Sarrhini, Otman; Lecomte, Roger; Kampffmeyer, Michael Christian; Sundset, Rune; Jenssen, Robert.

Published in:

Frontiers in Nuclear Medicine

on

April 11, 2024

Interrogating Sea Ice Predictability With Gradients

By authors:

Joakimsen, H. L., Martinsen I., Luppino, L. T., McDonald, A., Hosking, S., and Jenssen, R.

Published in:

IEEE Geoscience and Remote Sensing Letters

on

February 14, 2024

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