We rigorously evaluate commonly used approaches that explain the decisions of network attack detection systems.
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In our work we propose a method for learning explicit representations of PDEs from non-grid data
moreBigData@Geo geht in die zweite Runde!
07/04/2023
Mehr kooperierende Betriebe, höhere Förderung, ein neuer Partner innerhalb der Uni: BigData@Geo geht in die zweite Runde und will mit Hilfe von Klimadaten konkrete Handlungsempfehlungen für Unternehmen mit Naturbezug erstellen.
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In our work we present a benchmark dataset for learning forecasts of dynamical systems on non-grid structured data
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In our paper we propose a method allowing the comparison of human behaviour across behavioural networks with different properties.
moreDr Anna Krause is co-organizing the workshop "Neuro-Explicit AI and Expert-Informed Machine Learning for Engineering and Physical Sciences (ExML)" at ECMLPKDD 2023.
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In our paper, we conduct an initial study to investigate the use of audio data from the We4Bee project in detecting bee swarming.
moreCAIDAS at the ai.bay 2023
02/28/2023
Über die Zukunft von Sprachassistenten und die Herausforderungen neuer Technologien sowie das Projekt "MOTIV" sprachen Professorin Carolin Wienrich und Professor Andreas Hotho mit dem Bayerische Forschungsinstitut für Digitale Transformation (bidt).
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In our work we review existing approaches that explain AI-based anomaly detectors by highlighting features relevant for their predictions.
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