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Albukhanajer, WA, Jin, Y and Briffa, JA (2017) Classifer Ensembles for Image Identifcation Using Multi-objective Pareto Features Neurocomputing.
Gu, S and Jin, Y (2017) Multi-Train: A Semi-supervised Heterogeneous Ensemble Classifier Neurocomputing.
Smith, RS and Windeatt, T (2015) Facial action unit recognition using multi-class classification Neurocomputing, 150 (PB). pp. 440-448.
Smith, C and Jin, Y (2014) Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction Neurocomputing, 143. pp. 302-311.
Casey, MC, Pavlou, A and Timotheou, A (2012) Audio-Visual Localization with Hierarchical Topographic Maps: Modeling the Superior Colliculus Neurocomputing, 97. pp. 344-356.
Zheng, Y, Meng, Y and Jin, Y (2011) Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways Neurocomputing, 74 (17). pp. 3158-3169.
Chen, T and Wang, B (2010) Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers Neurocomputing, 73 (13-15). pp. 2718-2726.
Chen, T and Ren, J (2009) Bagging for Gaussian process regression Neurocomputing, 72 (7-9). pp. 1605-1610.
Shields, Mike W and Casey, Matthew C (2008) A Theoretical Framework for Multiple Neural Network Systems Neurocomputing, 71 (7-9). pp. 1462-1476.