| Information theoretic learning: Renyi's entropy and kernel perspectives JC Principe Springer Science & Business Media, 2010 | 1924 | 2010 |
| 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 | 711 | 2016 |
| Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning R Jenssen, D Roverso International Journal of Electrical Power & Energy Systems 99, 107-120, 2018 | 501 | 2018 |
| Kernel entropy component analysis R Jenssen IEEE transactions on pattern analysis and machine intelligence 32 (5), 847-860, 2009 | 392 | 2009 |
| 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 | 274 | 2017 |
| 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 | 264 | 2017 |
| Reservoir computing approaches for representation and classification of multivariate time series FM Bianchi, S Scardapane, S Løkse, R Jenssen IEEE transactions on neural networks and learning systems 32 (5), 2169-2179, 2020 | 195 | 2020 |
| Intelligent monitoring and inspection of power line components powered by UAVs and deep learning N Nguyen, R Jenssen, D Roverso IEEE Power and energy technology systems journal 6 (1), 11-21, 2019 | 185 | 2019 |
| Reconsidering representation alignment for multi-view clustering DJ Trosten, S Lokse, R Jenssen, M Kampffmeyer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 178 | 2021 |
| 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 | 159 | 2020 |
| The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels R Jenssen, JC Principe, D Erdogmus, T Eltoft Journal of the Franklin Institute 343 (6), 614-629, 2006 | 153 | 2006 |
| Clustering using Renyi's entropy R Jenssen, KE Hild, D Erdogmus, JC Principe, T Eltoft Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003 | 147 | 2003 |
| 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 | 133 | 2020 |
| Time series cluster kernel for learning similarities between multivariate time series with missing data KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, R Jenssen Pattern Recognition 76, 569-581, 2018 | 118 | 2018 |
| 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 60, 1-22, 2021 | 117 | 2021 |
| Spectral clustering of polarimetric SAR data with Wishart-derived distance measures SN Anfinsen, R Jenssen, T Eltoft Proc. POLinSAR 7, 1-9, 2007 | 113 | 2007 |
| Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images LT Luppino, MA Hansen, M Kampffmeyer, FM Bianchi, G Moser, ... IEEE Transactions on Neural Networks and Learning Systems 35 (1), 60-72, 2022 | 106 | 2022 |
| Mixing up contrastive learning: Self-supervised representation learning for time series K Wickstrøm, M Kampffmeyer, KØ Mikalsen, R Jenssen Pattern Recognition Letters 155, 54-61, 2022 | 104 | 2022 |
| Multivariate Extension of Matrix-Based Rényi's -Order Entropy Functional S Yu, LGS Giraldo, R Jenssen, JC Principe IEEE transactions on pattern analysis and machine intelligence 42 (11), 2960 …, 2019 | 102 | 2019 |
| Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records C Soguero-Ruiz, K Hindberg, JL Rojo-Alvarez, SO Skrøvseth, ... IEEE journal of biomedical and health informatics 20 (5), 1404-1415, 2014 | 101 | 2014 |
Michael Christian KampffmeyerProfessor in Machine Learning, UiT the Arctic University of Norway, TromsøVerified email at post.uit.no
