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Anna Krause
Anna Krause
Verified email at informatik.uni-wuerzburg.de - Homepage
Title
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Cited by
Year
Density-based weighting for imbalanced regression
M Steininger, K Kobs, P Davidson, A Krause, A Hotho
Machine Learning 110 (8), 2187-2211, 2021
252021
OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning
F Lautenschlager, M Becker, K Kobs, M Steininger, P Davidson, A Krause, ...
Atmospheric Environment 233, 117535, 2020
172020
Design and characterization of a V-Band Quadrature VCO based on a Common-Collector SiGe Colpitts VCO
A Barghouthi, A Krause, C Carta, C Scheytt, F Ellinger
2010 IEEE Compound Semiconductor Integrated Circuit Symposium (CSICS), 1-3, 2010
142010
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
P Davidson, M Steininger, F Lautenschlager, K Kobs, A Krause, A Hotho
arXiv preprint arXiv:2003.04576, 2020
102020
Enclosing the modeling error in analog behavioral models using neural networks and affine arithmetic
A Krause, M Olbrich, E Barke
2012 International Conference on Synthesis, Modeling, Analysis and …, 2012
52012
Open ERP System Data For Occupational Fraud Detection
J Tritscher, F Gwinner, D Schlör, A Krause, A Hotho
arXiv preprint arXiv:2206.04460, 2022
22022
NeuralPDE: Modelling Dynamical Systems from Data
A Dulny, A Hotho, A Krause
German Conference on Artificial Intelligence (Künstliche Intelligenz), 75-89, 2022
22022
Evaluating the multi-task learning approach for land use regression modelling of air pollution
A Dulny, M Steininger, F Lautenschlager, A Krause, A Hotho
Journal of Physics: Conference Series 1834 (1), 012004, 2021
22021
Semi-Supervised Learning for Grain Size Distribution Interpolation
K Kobs, C Schäfer, M Steininger, A Krause, R Baumhauer, H Paeth, ...
International Conference on Pattern Recognition, 34-44, 2021
22021
A financial game with opportunities for fraud
J Tritscher, A Krause, D Schlör, F Gwinner, S von Mammen, A Hotho
22021
Financial fraud detection with improved neural arithmetic logic units
D Schlör, M Ring, A Krause, A Hotho
Workshop on Mining Data for Financial Applications, 40-54, 2021
22021
Deep Learning for Climate Model Output Statistics
M Steininger, D Abel, K Ziegler, A Krause, H Paeth, A Hotho
arXiv preprint arXiv:2012.10394, 2020
22020
Variation-aware behavioral models of analog circuits using support vector machines with interval parameters
A Krause, M Olbrich, E Barke
2014 6th Computer Science and Electronic Engineering Conference (CEEC), 121-126, 2014
22014
Anomaly detection in beehives: An algorithm comparison
P Davidson, M Steininger, F Lautenschlager, A Krause, A Hotho
International Conference on Sensor Networks, International Conference on …, 2022
12022
Semi-unsupervised Learning: An In-depth Parameter Analysis
P Davidson, F Buckermann, M Steininger, A Krause, A Hotho
German Conference on Artificial Intelligence (Künstliche Intelligenz), 51-66, 2021
12021
DETECTING PRESENCE OF SPEECH IN ACOUSTIC DATA OBTAINED FROM BEEHIVES
P Janetzky, P Davidson, M Steininger, A Krause, A Hotho
12021
ConvMOS: climate model output statistics with deep learning
M Steininger, D Abel, K Ziegler, A Krause, H Paeth, A Hotho
Data Mining and Knowledge Discovery, 1-31, 2022
2022
Semi-unsupervised Learning for Time Series Classification
P Davidson, M Steininger, A Huhn, A Krause, A Hotho
arXiv preprint arXiv:2207.03119, 2022
2022
VERFAHREN ZUM AUSWERTEN VON ZEITSERIENSIGNALEN
A Reich, Christian and Nicolaou, Christina and Mansour, Ahmad and ...
DE Patent DE102018217310A1, 2020
2020
FOERDERBAND FUER EINE FLIESSBANDEINRICHTUNG UND VERFAHREN ZUM ERZEUGEN VON ELEKTRISCHER ENERGIE AN EINER FLIESSBANDEINRICHTUNG
J Krause, Anna and Lamprecht, Lukas and Baringhaus
DE Patent DE102018213503A1, 2020
2020
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