The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Hiroyuki Narihisa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kengo Katayama, Masashi Sadamatsu, Hiroyuki Narihisa
    Iterated k-Opt Local Search for the Maximum Clique Problem. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2007, pp:84-95 [Conf]
  2. Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa
    Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:643-650 [Conf]
  3. Hirotaka Inoue, Yoshinobu Fukunaga, Hiroyuki Narihisa
    Efficient Hybrid Neural Network for Chaotic Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:712-718 [Conf]
  4. Hirotaka Inoue, Hiroyuki Narihisa
    Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:11-18 [Conf]
  5. Hirotaka Inoue, Hiroyuki Narihisa
    Parallel and Distributed Mining with Ensemble Self-Generating Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICPADS, 2001, pp:423-428 [Conf]
  6. Hiroyuki Narihisa, Takahiro Taniguchi, Michiaki Thuda, Kengo Katayama
    Efficiency of Parallel Exponential Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    ICPP Workshops, 2005, pp:588-595 [Conf]
  7. Hirotaka Inoue, Hiroyuki Narihisa
    Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:231-236 [Conf]
  8. Hirotaka Inoue, Hiroyuki Narihisa
    Self-organizing neural grove: effective multiple classifier system with pruned self-generating neural trees. [Citation Graph (0, 0)][DBLP]
    ISCAS (3), 2005, pp:2502-2505 [Conf]
  9. Hirotaka Inoue, Hiroyuki Narihisa
    Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:256-265 [Conf]
  10. Hirotaka Inoue, Hiroyuki Narihisa
    Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:177-180 [Conf]
  11. Hirotaka Inoue, Hiroyuki Narihisa
    Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1113-1122 [Conf]
  12. Hirotaka Inoue, Hiroyuki Narihisa
    Optimizing a Multiple Classifier System. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:285-294 [Conf]
  13. Kengo Katayama, Akihiro Hamamoto, Hiroyuki Narihisa
    Solving the maximum clique problem by k-opt local search. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:1021-1025 [Conf]
  14. Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narihisa
    Reinforcement learning agents with primary knowledge designed by analytic hierarchy process. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:14-21 [Conf]
  15. Kengo Katayama, Hiroyuki Narihisa
    A New Iterated Local Search Algorithm Using Genetic Crossover for the Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP]
    SAC, 1999, pp:302-306 [Conf]
  16. Kengo Katayama, Akihiro Hamamoto, Hiroyuki Narihisa
    An effective local search for the maximum clique problem. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2005, v:95, n:5, pp:503-511 [Journal]
  17. Kengo Katayama, Hisayuki Hirabayashi, Hiroyuki Narihisa
    Performance analysis for crossover operators of genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 1999, v:30, n:2, pp:20-30 [Journal]
  18. Hirotaka Inoue, Hiroyuki Narihisa
    Parallel performance of ensemble self-generating neural networks for chaotic time series prediction problems. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2005, v:36, n:10, pp:82-92 [Journal]

  19. Efficient Incremental Learning with Self-Organizing Neural Grove. [Citation Graph (, )][DBLP]


  20. Efficient Incremental Learning Using Self-Organizing Neural Grove. [Citation Graph (, )][DBLP]


  21. Variable depth search and iterated local search for the node placement problem in multihop WDM lightwave networks. [Citation Graph (, )][DBLP]


Search in 0.017secs, Finished in 0.018secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002