Padraig Davidson

According to our database, Padraig Davidson authored at least 7 papers between 2020 and 2022.

Collaborative distances:

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

2022

Semi-unsupervised Learning for Time Series Classification.

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

CoRR, 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

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

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