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ICANN
2005
Springer
14 years 2 months ago
Information Visualization for Knowledge Extraction in Neural Networks
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
Liz J. Stuart, Davide Marocco, Angelo Cangelosi
IWCMC
2010
ACM
13 years 10 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
NETWORKING
2004
13 years 10 months ago
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data
If efficient network analysis tools were available, it could become possible to detect the attacks, anomalies and to appropriately take action to contain the attacks. In this paper...
Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannu...
ASM
2010
ASM
13 years 9 months ago
Matelas: A Predicate Calculus Common Formal Definition for Social Networking
This paper presents Matelas, a B predicate calculus definition for social networking, modelling social-network content, privacy policies, social-networks friendship relations, and ...
Néstor Cataño, Camilo Rueda
BMCBI
2002
75views more  BMCBI 2002»
13 years 8 months ago
Quantifying robustness of biochemical network models
Background: Robustness of mathematical models of biochemical networks is important for validation purposes and can be used as a means of selecting between different competing mode...
Lan Ma, Pablo A. Iglesias