Furao Shen
Furao Shen
Department of Computer Science & Technology, Nanjing University
Email verificata su nju.edu.cn - Home page
Citata da
Citata da
An incremental network for on-line unsupervised classification and topology learning
S Furao, O Hasegawa
Neural networks 19 (1), 90-106, 2006
An enhanced self-organizing incremental neural network for online unsupervised learning
S Furao, T Ogura, O Hasegawa
Neural Networks 20 (8), 893-903, 2007
Forecasting exchange rate using deep belief networks and conjugate gradient method
F Shen, J Chao, J Zhao
Neurocomputing 167, 243-253, 2015
A fast no search fractal image coding method
S Furao, O Hasegawa
Signal Processing: Image Communication 19 (5), 393-404, 2004
A fast nearest neighbor classifier based on self-organizing incremental neural network
F Shen, O Hasegawa
Neural Networks 21 (10), 1537-1547, 2008
An online incremental learning support vector machine for large-scale data
J Zheng, F Shen, H Fan, J Zhao
Neural Computing and Applications 22 (5), 1023-1035, 2013
An adaptive incremental LBG for vector quantization
F Shen, O Hasegawa
Neural Networks 19 (5), 694-704, 2006
Forecasting exchange rate with deep belief networks
J Chao, F Shen, J Zhao
The 2011 International Joint Conference on Neural Networks, 1259-1266, 2011
Robust log-based anomaly detection on unstable log data
X Zhang, Y Xu, Q Lin, B Qiao, H Zhang, Y Dang, C Xie, X Yang, Q Cheng, ...
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network
F Shen, H Yu, K Sakurai, O Hasegawa
Neural Computing and Applications 20 (7), 1061-1074, 2011
A parallel computing platform for training large scale neural networks
R Gu, F Shen, Y Huang
2013 IEEE international conference on big data, 376-384, 2013
A model with fuzzy granulation and deep belief networks for exchange rate forecasting
R Zhang, F Shen, J Zhao
2014 International Joint Conference on Neural Networks (IJCNN), 366-373, 2014
A general associative memory based on self-organizing incremental neural network
F Shen, Q Ouyang, W Kasai, O Hasegawa
Neurocomputing 104, 57-71, 2013
An incremental learning vector quantization algorithm for pattern classification
Y Xu, F Shen, J Zhao
Neural Computing and Applications 21 (6), 1205-1215, 2012
An algorithm for incremental unsupervised learning and topology representation
F Shen
Ph. D thesis, 2006
Self-organizing incremental neural network and its application
F Shen, O Hasegawa
International Conference on Artificial Neural Networks, 535-540, 2010
A self-organizing incremental neural network based on local distribution learning
Y Xing, X Shi, F Shen, K Zhou, J Zhao
Neural Networks 84, 143-160, 2016
An online incremental learning pattern-based reasoning system
S Furao, A Sudo, O Hasegawa
Neural Networks 23 (1), 135-143, 2010
An online semi-supervised clustering algorithm based on a self-organizing incremental neural network
Y Kamiya, T Ishii, S Furao, O Hasegawa
2007 International Joint Conference on Neural Networks, 1061-1066, 2007
Non-IID multi-instance dimensionality reduction by learning a maximum bag margin subspace
W Ping, Y Xu, K Ren, CH Chi, F Shen
Proceedings of the aaai conference on artificial intelligence 24 (1), 2010
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