Anomaly Detection in Beehives using Deep Recurrent Autoencoders. - Padraig Davidson; Michael Steininger; Florian Lautenschlager 002; Konstantin Kobs; Anna Krause; Andreas Hotho (SENSORNETS, 2020)

Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. - Padraig Davidson; Peter Düking; Christoph Zinner; Billy Sperlich; Andreas Hotho (Sensors, 2020)

Detecting Presence Of Speech In Acoustic Data Obtained From Beehives. - Pascal Janetzky; Padraig Davidson; Michael Steininger; Anna Krause; Andreas Hotho (DCASE, 2021)

Semi-unsupervised Learning: An In-depth Parameter Analysis. - Padraig Davidson; Florian Buckermann; Michael Steininger; Anna Krause; Andreas Hotho (KI, 2021)

Anomaly Detection in Beehives: An Algorithm Comparison. - Padraig Davidson; Michael Steininger; Florian Lautenschlager 002; Anna Krause; Andreas Hotho (CoRR, 2021)

Density-based weighting for imbalanced regression. - Michael Steininger; Konstantin Kobs; Padraig Davidson; Anna Krause; Andreas Hotho (Mach. Learn., 2021)

Semi-unsupervised Learning for Time Series Classification. - Padraig Davidson; Michael Steininger; André Huhn; Anna Krause; Andreas Hotho (CoRR, 2022)