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Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods.

, , , , and . SSCI, page 381-388. IEEE, (2022)

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Fast and energy-efficient neuromorphic deep learning with first-spike times., , , , , , , , , and 2 other author(s). Nat. Mach. Intell., 3 (9): 823-835 (2021)Learning through structure: towards deep neuromorphic knowledge graph embeddings., , , and . CoRR, (2021)Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1. IEEE, (2020)Machine learning on knowledge graphs for context-aware security monitoring., , and . CSR, page 55-60. IEEE, (2021)SpikE: spike-based embeddings for multi-relational graph data., and . IJCNN, page 1-8. IEEE, (2021)Neuromorphic Computing and Sensing in Space., , , , and . CoRR, (2022)Stochasticity from function - why the Bayesian brain may need no noise., , , , , , , , and . CoRR, (2018)Generative models on accelerated neuromorphic hardware., , , , , , , , , and 14 other author(s). CoRR, (2018)Fast and deep neuromorphic learning with time-to-first-spike coding., , , , , , , , , and 1 other author(s). CoRR, (2019)Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate., , , , , , , , , and 15 other author(s). CoRR, (2019)