Követés
Michael Steininger
Michael Steininger
E-mail megerősítve itt: informatik.uni-wuerzburg.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Density-based weighting for imbalanced regression
M Steininger, K Kobs, P Davidson, A Krause, A Hotho
Machine Learning 110, 2187-2211, 2021
762021
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
212020
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
172020
MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M Steininger, K Kobs, A Zehe, F Lautenschlager, M Becker, A Hotho
ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (3), 1-24, 2020
152020
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
K Kobs, M Steininger, A Dulny, A Hotho
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
92021
Simloss: class similarities in cross entropy
K Kobs, M Steininger, A Zehe, F Lautenschlager, A Hotho
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020
72020
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
62020
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
Anomaly detection in beehives: An algorithm comparison
P Davidson, M Steininger, F Lautenschlager, A Krause, A Hotho
Sensor Networks: 9th International Conference, SENSORNETS 2020, Valletta …, 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
Detecting Presence Of Speech In Acoustic Data Obtained From Beehives.
P Janetzky, P Davidson, M Steininger, A Krause, A Hotho
DCASE, 26-30, 2021
32021
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
K Kobs, M Steininger, A Hotho
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
12023
Semi-unsupervised Learning for Time Series Classification
P Davidson, M Steininger, A Huhn, A Krause, A Hotho
arXiv preprint arXiv:2207.03119, 2022
12022
Semi-unsupervised Learning: An In-depth Parameter Analysis
P Davidson, F Buckermann, M Steininger, A Krause, A Hotho
KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI …, 2021
12021
EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data
F Lautenschlager, M Becker, M Steininger, A Hotho
VGI Geovisual Analytics Workshop, colocated with BDVA 2018, 2018
12018
Climate change information tailored to the agricultural sector in Central Europe, exemplified on the region of Lower Franconia
H Paeth, D Schönbein, L Keupp, D Abel, F Bangelesa, M Baumann, ...
Climatic Change 176 (10), 136, 2023
2023
Deep Learning for Geospatial Environmental Regression
M Steininger
Universität Würzburg, 2023
2023
Appendix for “InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images”
K Kobs, M Steininger, A Hotho
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Cikkek 1–19