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Anna Krause
Anna Krause
Postdoctoral Researcher, CAIDAS, Julius Maximilians Universität Würzburg
Verifisert e-postadresse på informatik.uni-wuerzburg.de - Startside
Tittel
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Density-based weighting for imbalanced regression
M Steininger, K Kobs, P Davidson, A Krause, A Hotho
Machine Learning 110 (8), 2187-2211, 2021
862021
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
222020
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
192020
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
162010
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges
J Tritscher, A Krause, A Hotho
Frontiers in Artificial Intelligence 6, 1099521, 2023
112023
Neuralpde: Modelling dynamical systems from data
A Dulny, A Hotho, A Krause
German Conference on Artificial Intelligence (Künstliche Intelligenz), 75-89, 2022
92022
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
72020
Financial fraud detection with improved neural arithmetic logic units
D Schlör, M Ring, A Krause, A Hotho
Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020 …, 2021
62021
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 37 (1), 136-166, 2023
52023
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
52021
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
Towards explainable occupational fraud detection
J Tritscher, D Schlör, F Gwinner, A Krause, A Hotho
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
42022
Open ERP System Data For Occupational Fraud Detection
J Tritscher, F Gwinner, D Schlör, A Krause, A Hotho
arXiv preprint arXiv:2206.04460, 2022
42022
Semi-Supervised Learning for Grain Size Distribution Interpolation
K Kobs, C Schäfer, M Steininger, A Krause, R Baumhauer, H Paeth, ...
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
42021
Anomaly detection in beehives: An algorithm comparison
P Davidson, M Steininger, F Lautenschlager, A Krause, A Hotho
International Conference on Sensor Networks, 1-20, 2020
42020
DETECTING PRESENCE OF SPEECH IN ACOUSTIC DATA OBTAINED FROM BEEHIVES
P Janetzky, P Davidson, M Steininger, A Krause, A Hotho
32021
A financial game with opportunities for fraud
J Tritscher, A Krause, D Schlör, F Gwinner, S von Mammen, A Hotho
32021
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data
A Dulny, A Hotho, A Krause
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
22023
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
Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data
P Janetzky, M Schaller, A Krause, A Hotho
2023 30th International Conference on Systems, Signals and Image Processing …, 2023
12023
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Artikler 1–20