Michael Kampffmeyer

,

Visual Intelligence

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

ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation

By authors:

Hyeongji Kim, Changkyu Choi, Michael Christian Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde

Published in:

Lecture Notes in Computer Science (LNCS) 2025

on

May 12, 2025

Better, Not Just More: Data-centric machine learning for Earth observation

By authors:

Roscher, Ribana; Russwurm, Marc; Gevaert, Caroline; Kampffmeyer, Michael Christian; Santos, Jefersson A. Dos; Vakalopoulou, Maria; Hansch, Ronny; Hansen, Stine; Nogueira, Keiller; Prexl, Jonathan; Tuia, Devis

Published in:

EEE Geoscience and Remote Sensing Magazine 2024 s. 1-22

on

October 31, 2024

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

PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding

By authors:

Pan, Yi; Zhang, Yujia; Kampffmeyer, Michael Christian; Zhao, Xiaoguang.

Published in:

2024 International Joint Conference on Neural Networks (IJCNN). IEEE conference proceedings 2024 ISBN 979-8-3503-5931-2

on

September 9, 2024

An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images

By authors:

Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric Xing

Published in:

Applied Soft Computing, Volume 163 , 111855

on

September 1, 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

Prototypical Self-Explainable Models Without Re-training

By authors:

Gautam, Srishti; Boubekki, Ahcene; Höhne, Marina Marie-Claire; Kampffmeyer, Michael Christian.

Published in:

Transactions on Machine Learning Research (TMLR)

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

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