Alexander Jung (
Zitiert von
Zitiert von
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Y Fu, AW Jung, RV Torne, S Gonzalez, H Vöhringer, A Shmatko, LR Yates, ...
Nature Cancer 1 (8), 800-810, 2020
Joint channel estimation and activity detection for multiuser communication systems
G Hannak, M Mayer, A Jung, G Matz, N Goertz
2015 IEEE International Conference on Communication Workshop (ICCW), 2086-2091, 2015
Graphical lasso based model selection for time series
A Jung, G Hannak, N Goertz
IEEE Signal Processing Letters 22 (10), 1781-1785, 2015
The working of the Eurosystem: monetary policy preparations and decision-making-selected issues
P Moutot, A Jung, FP Mongelli
ECB Occasional Paper, 2008
On the minimax risk of dictionary learning
A Jung, YC Eldar, N Görtz
IEEE Transactions on Information Theory 62 (3), 1501-1515, 2016
When is network lasso accurate?
A Jung, N Tran, A Mara
Frontiers in Applied Mathematics and Statistics 3, 28, 2018
Learning the conditional independence structure of stationary time series: A multitask learning approach
A Jung
IEEE Transactions on Signal Processing 63 (21), 5677-5690, 2015
Compressive spectral estimation for nonstationary random processes
A Jung, G Tauböck, F Hlawatsch
IEEE Transactions on Information Theory 59 (5), 3117-3138, 2013
Predictive maintenance of photovoltaic panels via deep learning
T Huuhtanen, A Jung
2018 IEEE Data Science Workshop (DSW), 66-70, 2018
Unbiased estimation of a sparse vector in white Gaussian noise
A Jung, Z Ben-Haim, F Hlawatsch, YC Eldar
IEEE transactions on information theory 57 (12), 7856-7876, 2011
Machine learning: Basic principles
A Jung
arXiv preprint arXiv:1805.05052, 2018
Compressive nonparametric graphical model selection for time series
A Jung, R Heckel, H Bölcskei, F Hlawatsch
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Scalable graph signal recovery for big data over networks
A Jung, P Berger, G Hannak, G Matz
2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016
Classifying process instances using recurrent neural networks
M Hinkka, T Lehto, K Heljanko, A Jung
International Conference on Business Process Management, 313-324, 2018
Semi-supervised learning via sparse label propagation
A Jung, AO Hero III, A Mara, S Jahromi
arXiv preprint arXiv:1612.01414, 2016
An international comparison of voting by committees
A Jung
ECB Working Paper, 2011
The network nullspace property for compressed sensing of big data over networks
A Jung, M Hulsebos
Frontiers in Applied Mathematics and Statistics 4, 9, 2018
Does the federal reserve staff still beat private forecasters?
M El-Shagi, S Giesen, A Jung
ECB Working Paper, 2014
Localized linear regression in networked data
A Jung, N Tran
IEEE Signal Processing Letters 26 (7), 1090-1094, 2019
Performance limits of dictionary learning for sparse coding
A Jung, YC Eldar, N Görtz
2014 22nd European Signal Processing Conference (EUSIPCO), 765-769, 2014
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