29 citations · 45 across the 3 of their papers we have counts for
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cs.LG2024
SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysis
Alexander Hartl, Félix Iglesias Vázquez, Tanja Zseby
Streaming data analysis is increasingly required in applications, e.g., IoT, cybersecurity, robotics, mechatronics or cyber-physical systems. Despite its relevance, it is still an…
cs.LG2019★ 29 cited
Explainability and Adversarial Robustness for RNNs
Alexander Hartl, Maximilian Bachl, Joachim Fabini +1
Recurrent Neural Networks (RNNs) yield attractive properties for constructing Intrusion Detection Systems (IDSs) for network data. With the rise of ubiquitous Machine Learning (ML)…