| Density-based weighting for imbalanced regression M Steininger, K Kobs, P Davidson, A Krause, A Hotho Machine Learning 110 (8), 2187-2211, 2021 | 82 | 2021 |
| 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 | 22 | 2020 |
| 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 | 17 | 2020 |
| 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 | 16 | 2010 |
| Feature relevance XAI in anomaly detection: Reviewing approaches and challenges J Tritscher, A Krause, A Hotho Frontiers in Artificial Intelligence 6, 1099521, 2023 | 10 | 2023 |
| Neuralpde: Modelling dynamical systems from data A Dulny, A Hotho, A Krause German Conference on Artificial Intelligence (Künstliche Intelligenz), 75-89, 2022 | 9 | 2022 |
| 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 | 7 | 2020 |
| 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 | 6 | 2021 |
| 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 | 5 | 2023 |
| 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 | 5 | 2021 |
| 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 | 5 | 2012 |
| 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 | 4 | 2022 |
| Open ERP System Data For Occupational Fraud Detection J Tritscher, F Gwinner, D Schlör, A Krause, A Hotho arXiv preprint arXiv:2206.04460, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| 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 | 4 | 2020 |
| DETECTING PRESENCE OF SPEECH IN ACOUSTIC DATA OBTAINED FROM BEEHIVES P Janetzky, P Davidson, M Steininger, A Krause, A Hotho | 3 | 2021 |
| A financial game with opportunities for fraud J Tritscher, A Krause, D Schlör, F Gwinner, S von Mammen, A Hotho | 3 | 2021 |
| DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data A Dulny, A Hotho, A Krause arXiv preprint arXiv:2306.05805, 2023 | 2 | 2023 |
| 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 | 2 | 2014 |
| 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 | 1 | 2023 |
Andreas HothoUniversity of WürzburgDirección de correo verificada de informatik.uni-wuerzburg.de
