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Michael Christian Kampffmeyer
Michael Christian Kampffmeyer
Associate Professor in Machine Learning, UiT the Arctic University of Norway, Tromsø
Verified email at post.uit.no - Homepage
Title
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Cited by
Year
Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
M Kampffmeyer, AB Salberg, R Jenssen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
4132016
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
Springer, 2017
316*2017
Rethinking knowledge graph propagation for zero-shot learning
M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2032019
Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio
N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing
International Conference on Medical Image Computing and Computer-Assisted …, 2018
742018
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
K Wickstrøm, M Kampffmeyer, R Jenssen
Medical Image Analysis 60, 101619, 2020
652020
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
44*2019
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation
M Kampffmeyer, N Dong, X Liang, Y Zhang, EP Xing
IEEE Transactions on Image Processing 28 (5), 2518-2529, 2018
442018
Dense dilated convolutions’ merging network for land cover classification
Q Liu, M Kampffmeyer, R Jenssen, AB Salberg
IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6309-6320, 2020
412020
Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks
M Kampffmeyer, AB Salberg, R Jenssen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
342018
Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation
K Wickstrøm, M Kampffmeyer, R Jenssen
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
312018
Deep divergence-based approach to clustering
M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks 113, 91-101, 2019
252019
Query-Conditioned Three-Player Adversarial Network for Video Summarization
Y Zhang, M Kampffmeyer, X Liang, M Tan, EP Xing
British Machine Vision Conference (BMVC), 2018, 2018
242018
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images
N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
222018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks
AS Strauman, FM Bianchi, KØ Mikalsen, M Kampffmeyer, C Soguero-Ruiz, ...
Biomedical & Health Informatics (BHI), 2018 IEEE EMBS International …, 2018
222018
Deep generative models for reject inference in credit scoring
RA Mancisidor, M Kampffmeyer, K Aas, R Jenssen
Knowledge-Based Systems 196, 105758, 2020
212020
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels
K Wickstrøm, S Løkse, M Kampffmeyer, S Yu, J Principe, R Jenssen
arXiv preprint arXiv:1909.11396, 2019
212019
Deep Kernelized Autoencoders
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Scandinavian Conference on Image Analysis, 419-430, 2017
212017
Dtr-gan: Dilated temporal relational adversarial network for video summarization
Y Zhang, M Kampffmeyer, X Zhao, M Tan
Proceedings of the ACM Turing Celebration Conference-China, 89, 2019
202019
Deep image translation with an affinity-based change prior for unsupervised multimodal change detection
LT Luppino, M Kampffmeyer, FM Bianchi, G Moser, SB Serpico, ...
IEEE Transactions on Geoscience and Remote Sensing, 2021
192021
The 1st Agriculture-Vision Challenge: Methods and Results
M Tik Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
152020
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