Michael Christian Kampffmeyer
Michael Christian Kampffmeyer
Associate Professor in Machine Learning, UiT the Arctic University of Norway, Tromsø
Verifisert e-postadresse på post.uit.no - Startside
TittelSitert avÅr
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
1992016
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
arXiv preprint arXiv:1705.04378, 2017
702017
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
372017
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
292019
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
252018
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
172018
Urban land cover classification with missing data using deep convolutional neural networks
M Kampffmeyer, R Jenssen
Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International …, 2017
17*2017
Deep Kernelized Autoencoders
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Scandinavian Conference on Image Analysis, 419-430, 2017
142017
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
122018
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
102019
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
102018
Temporal overdrive recurrent neural network
FM Bianchi, M Kampffmeyer, E Maiorino, R Jenssen
2017 International Joint Conference on Neural Networks (IJCNN), 4275-4282, 2017
82017
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
72018
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
72018
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
62018
Deep divergence-based clustering
M Kampffmeyer, FM Bianchi, L Livi, AB Salberg, R Jenssen
Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International …, 2017
62017
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
52020
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
arXiv preprint arXiv:1805.03473, 2018
52018
Deep divergence-based approach to clustering
M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks 113, 91-101, 2019
42019
Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks
AB Salberg, ØD Trier, M Kampffmeyer
Scandinavian Conference on Image Analysis, 193-204, 2017
32017
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Artikler 1–20