Online event recognition over noisy data streams

DOI10.1016/j.ijar.2023.108993OpenAlexW4385336437MaRDI QIDQ6178734

Georgios Paliouras, Periklis Mantenoglou, Alexander Artikis

Publication date: 4 September 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2023.108993

zbMATH Keywords

uncertaintyprobabilistic logic programminghuman activity recognitionmaritime situational awarenessevent calculustemporal pattern matching

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• Maintaining knowledge about temporal intervals
• Stochastic relational processes: efficient inference and applications
• A logic-based calculus of events
• A probabilistic interval-based event calculus for activity recognition
• Probabilistic reasoning about epistemic action narratives
• Neural probabilistic logic programming in DeepProbLog
• Incremental reasoning in probabilistic signal temporal logic
• Foundations for a probabilistic event calculus
• Semi-supervised online structure learning for composite event recognition
• Probabilistic Event Calculus for Event Recognition
• On the implementation of the probabilistic logic programming language ProbLog
• CP-logic: A language of causal probabilistic events and its relation to logic programming
• A probabilistic logic programming event calculus
• Inference and learning in probabilistic logic programs using weighted Boolean formulas
• Incremental Event Calculus for Run-Time Reasoning
• MAP Inference for Probabilistic Logic Programming
• A Neuro-Symbolic Approach to Structured Event Recognition.
• Unnamed Item

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