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    IJCNN
    2006
    IEEE
    127views Neural Networks» more  IJCNN 2006»
    Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers
    16 years 2 days ago
    Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers
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    Ken Chen, Bao-Liang Lu, James T. Kwok
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    ICANN
    2003
    Springer
    126views Neural Networks» more  ICANN 2003»
    Selecting and Ranking Time Series Models Using the NOEMON Approach
    15 years 11 months ago
    Selecting and Ranking Time Series Models Using the NOEMON Approach
    Download  www.cin.ufpe.br
    Ricardo Bastos Cavalcante Prudêncio, Teresa ...
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    ETD2000
    1995
    202views Theoretical Computer Science» more  ETD2000 1995»
    Automatic generation of a neural network architecture using evolutionary computation
    15 years 9 months ago
    Automatic generation of a neural network architecture using evolutionary computation
    Download  doc.utwente.nl
    This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture.It is a usual practice to use trial and error to find a...
    E. Vonk, Lakhmi C. Jain, L. P. J. Veelenturf, R. J...
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    SBRN
    2002
    IEEE
    102views Neural Networks» more  SBRN 2002»
    Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
    15 years 11 months ago
    Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
    Download  www.mauriciokugler.com
    This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
    Mauricio Kugler, Heitor Silvério Lopes
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    ISNN
    2007
    Springer
    200views Neural Networks» more  ISNN 2007»
    Fast Code Detection Using High Speed Time Delay Neural Networks
    16 years 6 days ago
    Fast Code Detection Using High Speed Time Delay Neural Networks
    Download  www.wseas.org
    This paper presents a new approach to speed up the operation of time delay neural networks for fast code detection. The entire data are collected together in a long vector and then...
    Hazem M. El-Bakry, Nikos E. Mastorakis
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