Asbjørn Berge; Anne H S Solberg; Sparse covariance estimates for hyperspectral image classification using the Cholesky decomposition 2006. Scientific lecture

Camilla Brekke; Anne H S Solberg; Classification Methods for Oil Spill Detection in ENVISAT ASAR Images 2006. Scientific lecture

Camilla Brekke; Anne H S Solberg; Feature extraction for oil spill detection based on SAR images 2005. Scientific lecture

Anne H S Solberg; Automatic oil spill detection based on ENVISAT, RADARSAT and ERS images 2005. Scientific lecture

Tine Jensen; Anne Solberg; Oddbjørg Skjær Ulvik; Doing research with children in vulnerable situations: Methodological and ethical challenges 2005. Scientific lecture

Anne H S Solberg; Oljesøldeteksjon 2004. Scientific lecture

Asbjørn Berge; Anne H S Solberg; A Comparison of Methods for Improving Classification of Hyperspectral Data 2004. Scientific lecture

Asbjørn Berge; Anne H S Solberg; Robust Classification of Hyperspectral Data 2004. Scientific lecture

Anne H S Solberg; Automatic detection of oil spills in ERS, Radarsat and Envisat images 2004. Scientific lecture

Anne H S Solberg; Flexible non-linear contextual classification 2002. Scientific lecture

Anne H S Solberg; Nonlinear contextual classification - a comparative study 2001. Scientific lecture

Anne Schistad Solberg; R.J. Walter; Torfinn Taxt; Fusion of multitemporal satellite images and 615 data for land-use classification 1993. Scientific lecture

Espen Hagen; Solveig Næss; Torbjørn V Ness; Gaute Einevoll; Computing brain signals (CBra): Concurrent simulation of network activity, extracellular electric potentials and magnetic fields 2017. Scientific lecture

Solveig Næss; Biophysical Modeling of Single Neuron Contributions to ECoG and EEG signals , 2017. Scientific lecture

Solveig Næss; Gaute Einevoll; Modeling Extracellular Potentials from Neurons in the Brain 2016. Scientific lecture

Amund Hansen Vedal; Arnt Børre Salberg; Ketil Malde; Hierarchical classification of plankton 2025. Scientific lecture

Andreas Austeng; Are Fritz Charles Jensen; safiye jetlund; Roy Edgar Hansen; Sverre Holm; Adaptive beamforming in active sonar imaging 2010. Scientific lecture

Arne Huseby; Olav Nikolai Breivik; Optimal load sharing in a binary multicomponent system where the components have constant or increasing failure rates 2013. Scientific lecture

Arne Huseby; Olav Nikolai Breivik; Optimal load sharing in a binary multicomponent system 2011. Scientific lecture

Lars Uebbing; Harald Lykke Joakimsen; Kristoffer Wickstrøm; Michael Kampffmeyer; Sebastien Francois Lefevre; Arnt Børre Salberg; Robert Jenssen; NOFE Neural Operator Function Embedding doi: https://ai4eo2025.irisa.fr/ , 2025. Scientific lecture

Robert Jenssen; Computer vision for power line monitoring 2022. Scientific lecture

Robert Jenssen; Visual Intelligence advances deep learning research towards innovations 2022. Scientific lecture

Robert Jenssen; Visual Intelligence for medical image analysis 2022. Scientific lecture

Robert Jenssen; Towards XAI and Visual Intelligence for health 2022. Scientific lecture

Robert Jenssen; Towards XAI and Visual Intelligence for health 2022. Scientific lecture

Robert Jenssen; Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging 2021. Scientific lecture

Robert Jenssen; Industrial and basic deep learning research for computer vision with limited labels 2021. Scientific lecture

Joaquín Rodríguez-Álvarez; Karl Øyvind Mikalsen; Robert Jenssen; Cristina Soguero-Ruiz; On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit , 2021. Scientific lecture

Jonas Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen; Robust Non-Parametric Mode Clustering 2016. Scientific lecture

Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero-Ruiz; Stein Olav Skrøvseth; Rolv-Ole Lindsetmo; Arthur Revhaug; Robert Jenssen; Learning similarities between irregularly sampled short multivariate time series from EHRs , 2016. Scientific lecture

Katalin Blix; Gustavo Camps-Valls; Robert Jenssen; Sensitivity Analysis of Gaussian Processes for Oceanic Chlorophyll Prediction 2015. Scientific lecture

Cristina Soguero-Ruiz; Robert Jenssen; Kernel Covariance Series Smoothing 2015. Scientific lecture

Jose Luis Rojo-Alvarez; Kristian Hindberg; Stein Olav Skrøvseth; Fred Godtliebsen; Kim Erlend Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Knut Magne Augestad; Robert Jenssen; Prediction of Surgical Complications using Heterogeneous Clinical Data and Kernel Methods 2015. Scientific lecture

Jose Luis Rojo-Alvarez; Kristian Hindberg; Fred Godtliebsen; Kim Erlend Mortensen; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Knut Magne Augestad; Robert Jenssen; Feature selection using Kernel Component Analysis For Early Detection Of Anastomosis Leakage , 2014. Scientific lecture

Robert Jenssen; Vidar Vikjord; A new information theoretic clustering algorithm based on k-nn 2013. Scientific lecture

Robert Jenssen; Entropy-Relevant Dimensions in Kernel Feature Space 2013. Scientific lecture

Robert Jenssen; Mean vector component analysis: A New approach to un-centered PCA 2013. Scientific lecture

Robert Jenssen; Machine learning and applications at the University of Tromso 2013. Scientific lecture

Robert Jenssen; Background on Information Theoretic Learning 2012. Scientific lecture

Jonas Nordhaug Myhre; Robert Jenssen; MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO 2012. Scientific lecture

Robert Jenssen; Kernel Entropy Component Analysis: A Unifying View 2012. Scientific lecture

Robert Jenssen; NST - IBM Workshop: Machine Learning @ UiT 2012. Scientific lecture

Gustavo Camps-Valls; Robert Jenssen; Kernel Entropy Component Analysis in Remote Sensing Data Clustering 2011. Scientific lecture

Robert Jenssen; Klaus-Robert Muller; A New Scatter-Based Multi-Class Support Vector Machine 2011. Scientific lecture

Robert Jenssen; Kernel Entropy Component Analysis 2011. Scientific lecture

Robert Jenssen; Kernel Entropy Component Analysis: New Theory and Semi-Supervised Learning 2011. Scientific lecture

Robert Jenssen; New Information Theoretic Learning and Kernel Methods 2008. Scientific lecture

Robert Jenssen; Indefinite Parzen Window for Spectral Clustering 2007. Scientific lecture

Stian Normann Anfinsen; Robert Jenssen; Torbjørn Eltoft; Spectral Clustering of Polarimetric SAR Data with Wishart Derived Distance Measure , 2007. Scientific lecture

Stian Normann Anfinsen; Robert Jenssen; Torbjørn Eltoft; Classification of Polarimetric SAR Data with an Information Theoretic Kernel Method 2006. Scientific lecture