Artículos con órdenes de acceso público - Hannes NickischMás información
Disponibles en algún lugar: 11
Comparison of deep learning approaches for multi-label chest X-ray classification
IM Baltruschat, H Nickisch, M Grass, T Knopp, A Saalbach
Scientific reports 9 (1), 6381, 2019
Órdenes: German Research Foundation
Fast Kronecker inference in Gaussian processes with non-Gaussian likelihoods
S Flaxman, A Wilson, D Neill, H Nickisch, A Smola
International conference on machine learning, 607-616, 2015
Órdenes: US National Institutes of Health
Large scale Bayesian inference and experimental design for sparse linear models
MW Seeger, H Nickisch
SIAM Journal on Imaging Sciences 4 (1), 166-199, 2011
Órdenes: German Research Foundation
Scalable Gaussian processes for characterizing multidimensional change surfaces
W Herlands, A Wilson, H Nickisch, S Flaxman, D Neill, W Van Panhuis, ...
Artificial intelligence and statistics, 1013-1021, 2016
Órdenes: US National Science Foundation, UK Engineering and Physical Sciences …
How to learn from unlabeled volume data: Self-supervised 3d context feature learning
M Blendowski, H Nickisch, MP Heinrich
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Órdenes: German Research Foundation
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis
W Böhmer, S Grünewälder, H Nickisch, K Obermayer
Machine Learning 89, 67-86, 2012
Órdenes: German Research Foundation
Transfer learning aurora image classification and magnetic disturbance evaluation
P Sado, LBN Clausen, WJ Miloch, H Nickisch
Journal of Geophysical Research: Space Physics 127 (1), e2021JA029683, 2022
Órdenes: European Commission
Change surfaces for expressive multidimensional changepoints and counterfactual prediction
W Herlands, DB Neill, H Nickisch, AG Wilson
Journal of Machine Learning Research 20 (99), 1-51, 2019
Órdenes: US National Science Foundation
Substorm onset prediction using machine learning classified auroral images
P Sado, LBN Clausen, WJ Miloch, H Nickisch
Space Weather 21 (2), e2022SW003300, 2023
Órdenes: US National Science Foundation, European Commission
Localised Magnetic Substorm Forecasting using Machine Learning
P Sado, LBN Clausen, WJ Miloch, H Nickisch
Authorea Preprints, 2023
Órdenes: US National Science Foundation, US National Aeronautics and Space …
Substorm Onset Prediction using Machine Learning Classified Auroral Images
P Sado, LBN Clausen, WJ Miloch, H Nickisch
Authorea Preprints, 2022
Órdenes: US National Science Foundation, European Commission
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