Search Results - Spezzano, G.

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  1. 1
    Training Distributed GP Ensemble With a Selective Algorithm Based on Clustering and Pruning for Pattern Classification

    Training Distributed GP Ensemble With a Selective Algorithm Based on Clustering and Pruning for Pattern Classification by Folino, G., Pizzuti, C., Spezzano, G.

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  2. 2
    A scalable cellular implementation of parallel genetic programming

    A scalable cellular implementation of parallel genetic programming by Folino, G., Pizzuti, C., Spezzano, G.

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  3. 3
    GP ensembles for large-scale data classification

    GP ensembles for large-scale data classification by Folino, G., Pizzuti, C., Spezzano, G.

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  4. 4
    Parallel hybrid method for SAT that couples genetic algorithms and local search

    Parallel hybrid method for SAT that couples genetic algorithms and local search by Folino, G., Pizzuti, C., Spezzano, G.

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  5. 5
    An adaptive flocking algorithm for performing approximate clustering

    An adaptive flocking algorithm for performing approximate clustering by Folino, Gianluigi, Forestiero, Agostino, Spezzano, Giandomenico

    Published in Information sciences
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  6. 6
    Towards a Comprehensive Conceptual Framework of Active Travel Behavior: a Review and Synthesis of Published Frameworks

    Towards a Comprehensive Conceptual Framework of Active Travel Behavior: a Review and Synthesis of Published Frameworks by Götschi, Thomas, de Nazelle, Audrey, Brand, Christian, Gerike, Regine

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  7. 7
    Three-dimensional unsaturated flow modeling using cellular automata

    Three-dimensional unsaturated flow modeling using cellular automata by Mendicino, G, Senatore, A, Spezzano, G, Straface, S

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  8. 8
    A parallel cellular automata environment on multicomputers for computational science

    A parallel cellular automata environment on multicomputers for computational science by Cannataro, M., Di Gregorio, S., Rongo, R., Spataro, W., Spezzano, G., Talia, D.

    Published in Parallel computing
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  9. 9
    Simulation of a cellular landslide model with CAMELOT on high performance computers

    Simulation of a cellular landslide model with CAMELOT on high performance computers by Dattilo, Giuseppe, Spezzano, Giandomenico

    Published in Parallel computing
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  10. 10
    High performance scientific computing by a parallel cellular environment

    High performance scientific computing by a parallel cellular environment by Di Gregorio, S., Rongo, R., Spataro, W., Spezzano, G., Talia, D.

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  11. 11
    Solving the satisfiability problem by a parallel cellular genetic algorithm

    Solving the satisfiability problem by a parallel cellular genetic algorithm by Folino, G., Pizzuti, C., Spezzano, G.

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  12. 12
    CAMELotGrid: a grid-based PSE for autonomic cellular applications

    CAMELotGrid: a grid-based PSE for autonomic cellular applications by Folino, G., Spezzano, G.

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  13. 13
    Programming cellular automata algorithms on parallel computers

    Programming cellular automata algorithms on parallel computers by Spezzano, Giandomenico, Talia, Domenico

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  14. 14
    Predictability of cellular programs implemented with CAMELot

    Predictability of cellular programs implemented with CAMELot by Folino, G., Spezzano, G.

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  15. 15
    Swarming agents for discovering clusters in spatial data

    Swarming agents for discovering clusters in spatial data by Folino, G., Forestiero, A., Spezzano, G.

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  16. 16
    Diversity analysis in cellular and multipopulation genetic programming

    Diversity analysis in cellular and multipopulation genetic programming by Folino, G., Pizzuti, C., Spezzano, G., Vanneschi, L., Tomassini, M.

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  17. 17
    Improving induction decision trees with parallel genetic programming

    Improving induction decision trees with parallel genetic programming by Folino, G., Pizzuti, C., Spezzano, G.

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  18. 18
    Designing parallel models of soil contamination by the CARPET language

    Designing parallel models of soil contamination by the CARPET language by Spezzano, Giandomenico, Talia, Domenico

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  19. 19
    A high-level cellular programming model for massively parallel processing

    A high-level cellular programming model for massively parallel processing by Spezzano, G., Talia, D.

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  20. 20
    Efficient implementation of cellular algorithms on reconfigurable hardware

    Efficient implementation of cellular algorithms on reconfigurable hardware by Corsonello, P., Spezzano, G., Staino, G., Talia, D.

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