GEC: An Evolutionary Approach for Evolving Classifiers
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
An empirical comparison of supervised machine learning techniques in bioinformatics
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization
IEEE Transactions on Knowledge and Data Engineering
TreeSOM: cluster analysis in the self-organizing map
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Investigating diversity of clustering methods: An empirical comparison
Data & Knowledge Engineering
Robust support vector machines for classification and computational issues
Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
Initializing Partition-Optimization Algorithms
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An Experimental Comparison of Kernel Clustering Methods
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Data & Knowledge Engineering
Information theoretic novelty detection
Pattern Recognition
Improving rule extraction from neural networks by modifying hidden layer representations
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On voting-based consensus of cluster ensembles
Pattern Recognition
Investigating better multi-layer perceptrons for the task of classification
WSEAS Transactions on Computers
Snap-drift self organising map
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Discriminative Motif Finding for Predicting Protein Subcellular Localization
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Sample subset optimization for classifying imbalanced biological data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
A balanced neural tree for pattern classification
Neural Networks
Active learning for probabilistic neural networks
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A measure oriented training scheme for imbalanced classification problems
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
On achieving semi-supervised pattern recognition by utilizing tree-based SOMs
Pattern Recognition
An Intelligent Operator for Genetic Fuzzy Rule Based System
International Journal of Intelligent Information Technologies
Identifying predictive hubs to condense the training set of $$k$$-nearest neighbour classifiers
Computational Statistics
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