Paolo Pannarale

According to our database1, Paolo Pannarale authored at least 11 papers between 2006 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2014
Evolutionary Design of Synthetic Gene Networks by Means of a Semantic Expert System.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

A semantic expert system for the evolutionary design of synthetic gene networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Scalable high-throughput identification of genetic targets by network filtering.
BMC Bioinform., 2013

2012
GIDL: a rule based expert system for GenBank Intelligent Data Loading into the Molecular Biodiversity database.
BMC Bioinform., 2012

Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression.
BMC Bioinform., 2012

Efficient Mode of Action Identification by Support Vector Machine Regression.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
Comparison of Data-Merging Methods with SVM Attribute Selection and Classification in Breast Cancer Gene Expression.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Reverse Engineered Gene Networks Reveal Markers Predicting the Outcome of Breast Cancer.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009
Bayesian Gene Regulatory Network Inference Optimization by means of Genetic Algorithms.
J. Univers. Comput. Sci., 2009

2008
High-Throughput Analysis of the Drug Mode of Action of PB28, MC18 and MC70, Three Cyclohexylpiperazine Derivative New Molecules.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

2006
A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem.
Proceedings of the International Joint Conference on Neural Networks, 2006


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