Anna Krause

According to our database, Anna Krause authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Global Vegetation Modeling with Pre-Trained Weather Transformers.

Pascal Janetzky, Florian Gallusser, Simon Hentschel, Andreas Hotho, Anna Krause

CoRR, 2024

Generative Inpainting for Shapley-Value-Based Anomaly Explanation.

Julian Tritscher, Philip Lissmann, Maximilian Wolf, Anna Krause, Andreas Hotho, Daniel Schlör

Proceedings of the Explainable Artificial Intelligence, 2024

GrINd: Grid Interpolation Network for Scattered Observations.

Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Data Generation for Explainable Occupational Fraud Detection.

Julian Tritscher, Maximilian Wolf, Anna Krause, Andreas Hotho, Daniel Schlör

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023

Feature relevance XAI in anomaly detection: Reviewing approaches and challenges.

Julian Tritscher, Anna Krause, Andreas Hotho

Frontiers Artif. Intell., February, 2023

ConvMOS: climate model output statistics with deep learning.

Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho

Data Min. Knowl. Discov., 2023

TaylorPDENet: Learning PDEs from non-grid Data.

Paul Heinisch, Andrzej Dulny, Anna Krause, Andreas Hotho

CoRR, 2023

DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data.

Andrzej Dulny, Andreas Hotho, Anna Krause

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Automatic Speech Detection on a Smart Beehive's Raspberry Pi.

Pascal Janetzky, Philip Lissmann, Andreas Hotho, Anna Krause

Proceedings of the Lernen, 2023

Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data.

Pascal Janetzky, Melanie Schaller, Anna Krause, Andreas Hotho

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

2022

Semi-unsupervised Learning for Time Series Classification.

Padraig Davidson, Michael Steininger, André Huhn, Anna Krause, Andreas Hotho

CoRR, 2022

Open ERP System Data For Occupational Fraud Detection.

Julian Tritscher, Fabian Gwinner, Daniel Schlör, Anna Krause, Andreas Hotho

CoRR, 2022

Towards Explainable Occupational Fraud Detection.

Julian Tritscher, Daniel Schlör, Fabian Gwinner, Anna Krause, Andreas Hotho

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

NeuralPDE: Modelling Dynamical Systems from Data.

Andrzej Dulny, Andreas Hotho, Anna Krause

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

2021

Density-based weighting for imbalanced regression.

Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho

Mach. Learn., 2021

Anomaly Detection in Beehives: An Algorithm Comparison.

Padraig Davidson, Michael Steininger, Florian Lautenschlager, Anna Krause, Andreas Hotho

CoRR, 2021

Semi-unsupervised Learning: An In-depth Parameter Analysis.

Padraig Davidson, Florian Buckermann, Michael Steininger, Anna Krause, Andreas Hotho

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Detecting Presence Of Speech In Acoustic Data Obtained From Beehives.

Pascal Janetzky, Padraig Davidson, Michael Steininger, Anna Krause, Andreas Hotho

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

A financial game with opportunities for fraud.

Julian Tritscher, Anna Krause, Daniel Schlör, Fabian Gwinner, Sebastian von Mammen, Andreas Hotho

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Deep Learning for Climate Model Output Statistics.

Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho

CoRR, 2020

Anomaly Detection in Beehives using Deep Recurrent Autoencoders.

Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho

Proceedings of the 9th International Conference on Sensor Networks, 2020

Financial Fraud Detection with Improved Neural Arithmetic Logic Units.

Daniel Schlör, Markus Ring, Anna Krause, Andreas Hotho

Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Semi-Supervised Learning for Grain Size Distribution Interpolation.

Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Variation-aware behavioural modelling using support vector machines and affine arithmetic.

Anna Krause

PhD thesis, 2019