Fumiya Tokuhara
According to our database1,
Fumiya Tokuhara
authored at least 9 papers
between 2015 and 2019.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2019
Using Label Information in a Genetic Programming Based Method for Acquiring Block Preserving Outerplanar Graph Patterns with Wildcards.
Proceedings of the 11th IEEE International Workshop on Computational Intelligence and Applications, 2019
2018
Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns.
Vietnam. J. Comput. Sci., 2018
Acquisition of characteristic sets of block preserving outerplanar graph patterns by a two-stage evolutionary learning method for graph pattern sets.
Int. J. Comput. Intell. Stud., 2018
2017
Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017
A Context-Aware Fitness Function Based on Feature Selection for Evolutionary Learning of Characteristic Graph Patterns.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017
Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets.
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017
2016
Acquisition of Characteristic Block Preserving Outerplanar Graph Patterns by Genetic Programming Using Label Information.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016
Using canonical representations of block tree patterns in acquisition of characteristic block preserving outerplanar graph patterns.
Proceedings of the 9th IEEE International Workshop on Computational Intelligence and Applications, 2016
2015
Acquisition of characteristic block preserving outerplanar graph patterns from positive and negative data using Genetic Programming and tree representation of graph patterns.
Proceedings of the IEEE 8th International Workshop on Computational Intelligence and Applications, 2015