Learning explanations for biological feedback with delays using an event calculus
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s10994-021-06038-y.pdf
Reference60 articles.
1. Ahmad, J., Roux, O., Bernot, G., Comet, J. P., & Richard, A. (2008). Analysing formal models of genetic regulatory networks with delays. International Journal of Bioinformatics Research and Applications, 4(3), 240–262.
2. Akutsu, T., Tamura, T., & Horimoto, K. (2009). Completing networks using observed data. In Algorithmic learning theory. ALT 2009 (pp. 126–140). Springer.
3. Artikis, A., Makris, E., & Paliouras, G. (2019). A probabilistic interval-based event calculus for activity recognition. Annals of Mathematics and Artificial Intelligence.
4. Artikis, A., Paliouras, G., Portet, F., & Skarlatidis, A. (2010). Logic-based representation, reasoning and machine learning for event recognition. In DEBS10: Proceedings of the fourth ACM international conference on distributed event-based systems (pp. 282–293) (2010).
5. Artikis, A., Skarlatidis, A., Portet, F., & Paliouras, G. (2012). Logic-based event recognition. The Knowledge Engineering Review, 27(4), 469–506.
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