Particle swarm optimization for pap-smear diagnosis

Author:

Marinakis Yannis,Marinaki Magdalene,Dounias Georgios

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. A comparative evaluation of sequential feature selection algorithms;Aha,1996

2. Efficient second order neural network training algorithms for the construction of a pap-smear classifier;Ampazis,2004

3. Byriel, J. (1999). Neuro-fuzzy classification of cells in cervical smears, Master’s thesis, Technical University of Denmark, Oersted-DTU, Automation.

4. Feature subset selection, class separability, and genetic algorithms;Cantu-Paz;Genetic and Evolutionary Computation Conference,2004

5. Cantu-Paz, E., Newsam, S., & Kamath, C. (2004). Feature selection in scientific application. In Proceedings of the 2004 ACM SIGKDD international conference on knowledge discovery and data mining (pp. 788–793).

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