Kristoffer Wickstrøm

,

Visual Intelligence

Associate Professor

,

UiT The Arctic University of Norway

UiT The Arctic University of Norway

Principal investigator of


Research field(s) of interest:

Publications

Publications from Visual Intelligence

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

AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering

By authors:

Jing Wang, Songhe Feng, Kristoffer Wickstrøm, Michael Kampffmeyer

Published in:

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10285-10294, 2025

on

June 10, 2025

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability

By authors:

Kristoffer Wickstrøm, Thea Brüsch, Michael Kampffmeyer, Robert Jenssen

Published in:

Proceedings of the AAAI Conference on Artificial Intelligence, 39(8), 8341-8350

on

April 11, 2025

NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks

By authors:

Bjørn Leth Møller,Sepideh Amiri,Christian Igel,Kristoffer Wickstrøm,Robert Jenssen,Matthias Keicher,Mohammad Farid Azampour,Nassir Navab,Bulat Ibragimov

Published in:

Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:184-192, 2025.

on

January 10, 2025

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

View it like a radiologist: Shifted windows for deep learning augmentation of CT images

By authors:

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

Published in:

2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023, pp. 1-6

on

October 23, 2023

Selective Imputation for Multivariate Time Series Datasets with Missing Values.

By authors:

Blazquez-Garcia, Ane; Wickstrøm, Kristoffer Knutsen; Yu, Shujian; Mikalsen, Karl Øyvind; Boubekki, Ahcene; Conde, Angel; Mori, Usue; Jenssen, Robert; Lozano, Jose A.

Published in:

Transactions on Knowledge and Data Engineering, vol. 35, no. 9, pp. 9490-9501

on

September 1, 2023

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings.

By authors:

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

Published in:

Computer Vision and Pattern Recognition 2023 s.7527-7536

on

August 22, 2023

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy

By authors:

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

Published in:

Entropy 2023 ;Volum 25.(6) s.1-21

on

June 3, 2023

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

By authors:

Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne

Published in:

Transactions on Machine Learning Research (06/2023)

on

June 1, 2023

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