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Displaying 1-4 out of 4 total
A Neuro-Evolutionary Corpus-Based Method for Word Sense Disambiguation
Found in: IEEE Intelligent Systems
By Antonia Azzini,Célia da Costa Pereira,Mauro Dragoni,Andrea G.B. Tettamanzi
Issue Date:November 2012
pp. 26-35
The proposed approach to word sense disambiguation uses an evolutionary algorithm to automatically design the structure and learn the connection weights of neural networks.
 
Dermatology Disease Classification via Novel Evolutionary Artificial Neural Network
Found in: Database and Expert Systems Applications, International Workshop on
By Antonia Azzini, Stefania Marrara
Issue Date:September 2007
pp. 148-152
Neuro-genetic systems are biologically inspired com- putational models that use evolutionary algorithms (EAs) in conjunction with neural networks (NNs) to solve prob- lems. They are especially useful in classification problems in which classifier systems a...
 
Extending the similarity-based XML multicast approach with digital signatures
Found in: Proceedings of the 2009 ACM workshop on Secure web services (SWS '09)
By Antonia Azzini, Jorg Schwenk, Meiko Jensen, Stefania Marrara
Issue Date:November 2009
pp. 45-52
This paper investigates the interplay between similarity-based SOAP message aggregation and digital signature application. An overview on the approaches resulting from the different orders for the tasks of signature application, verification, similarity ag...
     
A neural evolutionary approach to financial modeling
Found in: Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO '06)
By Andrea G.B. Tettamanzi, Antonia Azzini
Issue Date:July 2006
pp. 1605-1612
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach has been applied to a financial problem, whereby a factor model capturing t...
     
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