The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Hirotaka Inoue: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. Hirotaka Inoue, Hiroyuki Narihisa
    Optimizing a Multiple Classifier System. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:285-294 [Conf]
  10. 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]

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


  12. Self-Organizing Neural Grove and Its Distributed Performance. [Citation Graph (, )][DBLP]


  13. Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees. [Citation Graph (, )][DBLP]


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


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


  16. Self-Organizing Neural Grove and Its Parallel and Distributed Performance. [Citation Graph (, )][DBLP]


Search in 0.004secs, Finished in 0.005secs
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