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A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems.

, , and . EANN, volume 744 of Communications in Computer and Information Science, page 122-134. Springer, (2017)

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A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System., , and . EANN/AIAI (1), volume 363 of IFIP Advances in Information and Communication Technology, page 111-121. Springer, (2011)Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece., , and . EANN, volume 43 of Communications in Computer and Information Science, page 313-324. (2009)Path hypergroupoids: Commutativity and graph connectivity., and . Eur. J. Comb., (2015)A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices., , , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 191-203. Springer, (2016)A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation., , , and . AIAI, volume 339 of IFIP Advances in Information and Communication Technology, page 376-386. Springer, (2010)A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems., , and . EANN, volume 744 of Communications in Computer and Information Science, page 122-134. Springer, (2017)Automata on Directed Graphs for the Recognition of Assembly Lines., , and . EANN (1), volume 383 of Communications in Computer and Information Science, page 485-495. Springer, (2013)An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece., , and . AIAI, volume 296 of IFIP Advances in Information and Communication Technology, page 304-310. Springer, (2009)A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction., , and . EANN/AIAI (2), volume 364 of IFIP Advances in Information and Communication Technology, page 332-341. Springer, (2011)Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks., , , , and . EANN (1), volume 383 of Communications in Computer and Information Science, page 132-143. Springer, (2013)