Hirotaka Inoue

According to our database1, Hirotaka Inoue authored at least 26 papers between 2000 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2014
Incremental learning with self-organizing neural grove.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Self-organizing Neural Grove.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Self-Organizing Neural Grove: Efficient Neural Network Ensembles using Pruned Self-Generationg Neural Trees.
Int. J. Comput., 2013

Self-Organizing Neural Grove and Its Application to Incremental Learning.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Incremental learning using self-organizing neural grove.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A study on an efficiency of new exponential Evolutionary Programming.
Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

Self-organizing neural grove.
Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

2011
Self-Organizing Neural Grove and Its Incremental Learning Performance.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011

2010
Incremental Learning Using Self-Organizing Neural Grove.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Self-Organizing Neural Grove and Its Distributed Performance.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010

2009
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.
Proceedings of the Constructive Neural Networks, 2009

Negative correlation in incremental learning.
Nat. Comput., 2009

Self-Organizing Neural Grove and Its Parallel and Distributed Performance.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.
Proceedings of the Artificial Neural Networks, 2008

Efficient Incremental Learning with Self-Organizing Neural Grove.
Proceedings of The 2008 International Conference on Data Mining, 2008

2007
Efficient Incremental Learning Using Self-Organizing Neural Grove.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2005
Parallel performance of ensemble self-generating neural networks for chaotic time series prediction problems.
Syst. Comput. Jpn., 2005

Self-organizing neural grove: effective multiple classifier system with pruned self-generating neural trees.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004
Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Optimizing a Multiple Classifier System.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

2001
Parallel and Distributed Mining with Ensemble Self-Generating Neural Networks.
Proceedings of the Eigth International Conference on Parallel and Distributed Systems, 2001

Efficient Hybrid Neural Network for Chaotic Time Series Prediction.
Proceedings of the Artificial Neural Networks, 2001

2000
Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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