Ken Sharman-rekin lankidetzan egindako argitalpenak (5)

2009

  1. Finding relevant variables in a financial distress prediction problem using genetic programming and self-organizing maps

    Studies in Computational Intelligence

2008

  1. A SOM and GP tool for reducing the dimensionality of a financial distress prediction problem

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction

    2008 IEEE Congress on Evolutionary Computation, CEC 2008

  3. Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks

    GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

  4. Testing the intermediate disturbance hypothesis: Effect of asynchronous population incorporation on multi-deme evolutionary algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)