Anna Krause

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Anomaly Detection

Unsupervised Learning

Fraud Detection

Feature Relevance

Top Venues

Publications

Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause
GrINd: Grid Interpolation Network for Scattered Observations. CoRR (2024)
Pascal Janetzky, Florian Gallusser, Simon Hentschel, Andreas Hotho, Anna Krause
Global Vegetation Modeling with Pre-Trained Weather Transformers. CoRR (2024)
Andrzej Dulny, Andreas Hotho, Anna Krause
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data. CoRR (2023)
Paul Heinisch, Andrzej Dulny, Anna Krause, Andreas Hotho
TaylorPDENet: Learning PDEs from non-grid Data. CoRR (2023)
Andrzej Dulny, Andreas Hotho, Anna Krause
DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data. ECML/PKDD (1) (2023)
Pascal Janetzky, Philip Lissmann, Andreas Hotho, Anna Krause
Automatic Speech Detection on a Smart Beehive's Raspberry Pi. LWDA (2023)
Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho
ConvMOS: climate model output statistics with deep learning. Data Min. Knowl. Discov. 37 (1) (2023)
Pascal Janetzky, Melanie Schaller, Anna Krause, Andreas Hotho
Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data. IWSSIP (2023)
Julian Tritscher, Anna Krause, Andreas Hotho
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. Frontiers Artif. Intell. 6 (2023)
Julian Tritscher, Fabian Gwinner, Daniel Schlör, Anna Krause, Andreas Hotho
Open ERP System Data For Occupational Fraud Detection. CoRR (2022)
Padraig Davidson, Michael Steininger, André Huhn, Anna Krause, Andreas Hotho
Semi-unsupervised Learning for Time Series Classification. CoRR (2022)
Andrzej Dulny, Andreas Hotho, Anna Krause
NeuralPDE: Modelling Dynamical Systems from Data. KI (2022)
Julian Tritscher, Daniel Schlör, Fabian Gwinner, Anna Krause, Andreas Hotho
Towards Explainable Occupational Fraud Detection. PKDD/ECML Workshops (2) (2022)
Julian Tritscher, Anna Krause, Daniel Schlör, Fabian Gwinner, Sebastian von Mammen, Andreas Hotho
A financial game with opportunities for fraud. CoG (2021)
Pascal Janetzky, Padraig Davidson, Michael Steininger, Anna Krause, Andreas Hotho
Detecting Presence Of Speech In Acoustic Data Obtained From Beehives. DCASE (2021)
Padraig Davidson, Florian Buckermann, Michael Steininger, Anna Krause, Andreas Hotho
Semi-unsupervised Learning: An In-depth Parameter Analysis. KI (2021)
Andrzej Dulny, Andreas Hotho, Anna Krause
NeuralPDE: Modelling Dynamical Systems from Data. CoRR (2021)
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Anna Krause, Andreas Hotho
Anomaly Detection in Beehives: An Algorithm Comparison. CoRR (2021)
Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho
Density-based weighting for imbalanced regression. Mach. Learn. 110 (8) (2021)
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. SENSORNETS (2020)
Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho
Deep Learning for Climate Model Output Statistics. CoRR (2020)
Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho
Semi-Supervised Learning for Grain Size Distribution Interpolation. ICPR Workshops (6) (2020)
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. CoRR (2020)
Daniel Schlör, Markus Ring, Anna Krause, Andreas Hotho
Financial Fraud Detection with Improved Neural Arithmetic Logic Units. MIDAS@PKDD/ECML (2020)