Juan Carlos Galeano

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This paper presents a review of different artificial immune network models, which have been published during the last years. A general model of artificial immune network is presented, which provides a common notation that allows the comparison of different models. A descriptive and comparative analysis is presented emphasizing similarities, differences and(More)
An immune inspired model that can detect anomalies, even when trained only with normal samples, and can learn from encounters with new anomalies is presented. The model combines a negative selection algorithm and a self-organizing map (SOM) in an immune inspired architecture. The proposed system is able to produce a visual representation of the(More)
A model that can detect anomalies, even when trained only with normal samples, and can learn from encounters with new anomalies is proposed. The model combines a negative selection algorithm and a self-organizing map (SOM) in an immune inspired architecture. One of the main advantages of the proposed system is that it is able to produce a visual(More)
Sampling for sabethine mosquitoes occurred intermittently from September 2007 to April 2013 in 17 municipalities, located in 5 departments (divisions) in the northern Andean coffee-growing regions of Colombia. Of the 9 genera within the Sabethini tribe known to occur in the Neotropical region, 6 were encountered including 15 species: Jonhbelkinia ulopus,(More)