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Fabio Guigou
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2010 – 2019
- 2019
- [b1]Fabio Guigou:
The artificial immune ecosystem : a scalable immune-inspired active classifier, an application to streaming time series analysis for network monitoring. (L'écosystème immunitaire artificiel : un classifieur actif inspiré des systèmes immunitaires, et son application à l'analyse de données chronologiques en flux pour la supervision de réseaux informatiques). University of Strasbourg, France, 2019 - [j3]Fabio Guigou, Pierre Collet, Pierre Parrend
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SCHEDA: Lightweight euclidean-like heuristics for anomaly detection in periodic time series. Appl. Soft Comput. 82 (2019) - 2018
- [j2]Pierre Parrend, Julio Navarro, Fabio Guigou, Aline Deruyver, Pierre Collet:
Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection. EURASIP J. Inf. Secur. 2018: 4 (2018) - [j1]Pierre Parrend, Fabio Guigou, Julio Navarro, Aline Deruyver, Pierre Collet:
Artificial Immune Ecosystems: the role of expert-based learning in artificial cognition. J. Robotics Netw. Artif. Life 4(4): 303-307 (2018) - [c3]Pierre Parrend, Fabio Guigou, Julio Navarro, Aline Deruyver, Pierre Collet:
For a refoundation of Artificial Immune System research: AIS is a Design Pattern. SSCI 2018: 1122-1129 - 2017
- [c2]Pierre Parrend, Pierre David, Fabio Guigou, Cedric Pupka, Pierre Collet:
The AWA Artificial emergent aWareness Architecture model for Artificial Immune Ecosystems. CEC 2017: 403-410 - [c1]Fabio Guigou, Pierre Collet, Pierre Parrend:
The Artificial Immune Ecosystem: A Bio-Inspired Meta-Algorithm for Boosting Time Series Anomaly Detection with Expert Input. EvoApplications (1) 2017: 573-588 - [i1]Fabio Guigou, Pierre Collet, Pierre Parrend:
Anomaly detection and motif discovery in symbolic representations of time series. CoRR abs/1704.05325 (2017)
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