2 citations · 2 across the 4 of their papers we have counts for
5 papers
OSSDD - a New Open Dataset for Sentinel-1 Ship Detection
Horst Hammer, Sylvia Hochstuhl, Antje Thiele +4
Ship detection in Synthetic Aperture Radar (SAR) images plays an important role for maritime situational awareness, especially with respect to different illegal activities at sea s…
Quantum-Inspired Robust and Scalable SAR Object Classification
Maximilian Scharf, Marco Trenti, Felix Bock +5
SAR image classification naturally has to deal with huge noise and a high dynamic range particularly requiring robust classification models. Additionally, the deployment of these m…
Semi-unsupervised Learning for Time Series Classification
Padraig Davidson, Michael Steininger, André Huhn +2
Time series are ubiquitous and therefore inherently hard to analyze and ultimately to label or cluster. With the rise of the Internet of Things (IoT) and its smart devices, data is…
Anomaly Detection in Beehives: An Algorithm Comparison
Padraig Davidson, Michael Steininger, Florian Lautenschlager +2
Sensor-equipped beehives allow monitoring the living conditions of bees. Machine learning models can use the data of such hives to learn behavioral patterns and find anomalous even…
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Padraig Davidson, Michael Steininger, Florian Lautenschlager +3
Precision beekeeping allows to monitor bees' living conditions by equipping beehives with sensors. The data recorded by these hives can be analyzed by machine learning models to le…