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scopus(43)
A Competitive Neural Network for Intrusion Detection Systems
Conference ObjectAbstract: Detecting network intrusions is becoming crucial in computer networks. In this paper, an Intrusion DPalabras claves:Competitive learning, Data Mining, Intrusion detection system, Network securityAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusA Novel Continual Learning Approach for Competitive Neural Networks
Conference ObjectAbstract: Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgettinPalabras claves:Competitive neural networks, Continual learning, unsupervised learningAutores:Esteban José Palomo, Fernández-Rodríguez J.D., López-Rubio E., Maza-Quiroga R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusA dipolar competitive neural network for video segmentation
Conference ObjectAbstract: This paper present a video segmentation method which separate pixels corresponding to foreground froPalabras claves:Autores:Domínguez E., Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M.Fuentes:scopusA new GHSOM model applied to network security
Conference ObjectAbstract: The self-organizing map (SOM) have shown to be successful for the analysis of high-dimensional inputPalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusA self-organized multiagent system for intrusion detection
Conference ObjectAbstract: This paper describes a multiagent system with capabilities to analyze and discover knowledge gatherePalabras claves:Data Mining, Growing self-organization, multiagent system, Network securityAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusBregman divergences for growing hierarchical self-organizing networks
ArticleAbstract: Growing hierarchical self-organizing models are characterized by the flexibility of their structure,Palabras claves:Bregman divergences, classification, self organization, VisualizationAutores:Domínguez E., Esteban José Palomo, López-Rubio E.Fuentes:scopusAn anomaly detection system using a GHSOM-1
Conference ObjectAbstract: An anomaly detection system based on a hierarchical self-organizing neural network is presented. ThePalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusAn ART-type network approach for video object detection
Conference ObjectAbstract: This paper presents an ART-type network (adaptive resonant theory) to detect objects in a video sequPalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusApplication of growing hierarchical SOM for visualisation of network forensics traffic data
ArticleAbstract: Digital investigation methods are becoming more and more important due to the proliferation of digitPalabras claves:data clustering, Data visualisation, Feature Extraction, hierarchical self-organisation, Network forensicsAutores:Elizondo D., Esteban José Palomo, Luque-Baena R.M., North J., Watson T.Fuentes:scopusDynamic topology learning with the probabilistic self-organizing graph
ArticleAbstract: Self-organizing neural networks are usually focused on prototype learning, while the topology is helPalabras claves:classification, Image quantization, image segmentation, Self-Organization, unsupervised learning, VisualizationAutores:Carmen Vargas-González M., Esteban José Palomo, López-Rubio E., Miguel Ortiz-de-Lazcano-Lobato J.Fuentes:scopus