Robert Jenssen
Robert Jenssen
Visual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPH
Geverifieerd e-mailadres voor uit.no - Homepage
Geciteerd door
Geciteerd door
Information theoretic learning: Renyi's entropy and kernel perspectives
JC Principe
Springer Science & Business Media, 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
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
Kernel entropy component analysis
R Jenssen
IEEE transactions on pattern analysis and machine intelligence 32 (5), 847-860, 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
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
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
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
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
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
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
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
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
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
Spectral clustering of polarimetric SAR data with Wishart-derived distance measures
SN Anfinsen, R Jenssen, T Eltoft
Proc. POLinSAR 7, 1-9, 2007
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
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
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
Independent component analysis for texture segmentation
R Jenssen, T Eltoft
Pattern Recognition 36 (10), 2301-2315, 2003
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, 2022
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