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Journal Articles
- 2021
[j2]Michael Steininger
, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho:
Density-based weighting for imbalanced regression. Mach. Learn. 110(8): 2187-2211 (2021)- 2020
- [j1]Padraig Davidson, Peter Düking, Christoph Zinner, Billy Sperlich, Andreas Hotho:
Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. Sensors 20(9): 2637 (2020)
Conference and Workshop Papers
- 2021
- [c3]Pascal Janetzky, Padraig Davidson, Michael Steininger, Anna Krause, Andreas Hotho:
Detecting Presence Of Speech In Acoustic Data Obtained From Beehives. DCASE 2021: 26-30 - [c2]Padraig Davidson, Florian Buckermann, Michael Steininger, Anna Krause, Andreas Hotho:
Semi-unsupervised Learning: An In-depth Parameter Analysis. KI 2021: 51-66 - 2020
- [c1]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. SENSORNETS 2020: 142-149
Informal and Other Publications
- 2022
- [i3]Padraig Davidson, Michael Steininger, André Huhn, Anna Krause, Andreas Hotho:
Semi-unsupervised Learning for Time Series Classification. CoRR abs/2207.03119 (2022) - 2021
- [i2]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives: An Algorithm Comparison. CoRR abs/2110.03945 (2021) - 2020
- [i1]Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. CoRR abs/2003.04576 (2020)
Coauthor Index
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