Robert Jenssen

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Michael Christian KampffmeyerAssociate Professor in Machine Learning, UiT the Arctic University of Norway, TromsøGeverifieerd e-mailadres voor post.uit.no
jose principeprofessor of ECE, U. of FloridaGeverifieerd e-mailadres voor cnel.ufl.edu
Arnt SalbergSenior research scientist at Norwegian Computing CenterGeverifieerd e-mailadres voor nr.no
Deniz ErdogmusProfessor of ECE, Northeastern UniversityGeverifieerd e-mailadres voor ece.neu.edu
Karl Øyvind MikalsenUiT The Arctic University of Norway, TromsøGeverifieerd e-mailadres voor uit.no
Cristina Soguero RuizAssociate Professor URJCGeverifieerd e-mailadres voor urjc.es
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de ValènciaGeverifieerd e-mailadres voor uv.es
Soeren SonnenburgMachine Learning ResearcherGeverifieerd e-mailadres voor tomtom.com
Klaus-Robert MüllerTU Berlin & Korea University & Google Deepmind & Max Planck Institute for Informatics, GermanyGeverifieerd e-mailadres voor tu-berlin.de
Marius KloftRPTU Kaiserslautern-LandauGeverifieerd e-mailadres voor cs.uni-kl.de
Mark GirolamiUniversity of CambridgeGeverifieerd e-mailadres voor cam.ac.uk
Jianwu XuGeverifieerd e-mailadres voor alumni.ufl.edu
Oscar Fontenla-RomeroFull Professor of Computer Science. University of A Coruña (Spain)Geverifieerd e-mailadres voor udc.es
Kenneth E. Hild IISoftware Engineer, Lab126

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Robert Jenssen

Visual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPH

Geverifieerd e-mailadres voor uit.no - Homepage

Machine learning information theoretic learning kernel methods deep learning health data analytics


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Information theoretic learning: Renyi's entropy and kernel perspectives JC Principe Springer Science & Business Media, 2010	1812	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	594	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	395	2018
Kernel entropy component analysis R Jenssen IEEE transactions on pattern analysis and machine intelligence 32 (5), 847-860, 2009	370	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	226	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	219	2017
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	148	2019
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	144	2003
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	141	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	139	2006
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	122	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	112	2018
Spectral clustering of polarimetric SAR data with Wishart-derived distance measures SN Anfinsen, R Jenssen, T Eltoft Proc. POLinSAR 7, 1-9, 2007	105	2007
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	88	2020
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	88	2014
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	85	2019
Independent component analysis for texture segmentation R Jenssen, T Eltoft Pattern Recognition 36 (10), 2301-2315, 2003	84	2003
Mean shift spectral clustering U Ozertem, D Erdogmus, R Jenssen Pattern Recognition 41 (6), 1924-1938, 2008	80	2008
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	76	2021
Understanding convolutional neural networks with information theory: An initial exploration S Yu, K Wickstrøm, R Jenssen, JC Principe IEEE transactions on neural networks and learning systems 32 (1), 435-442, 2020	73	2020

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