Conferences in DBLP

Multiple Classifier Systems (MCS) (mcs)
2010 (conf/mcs/2010)

1. 
   Weighted Bagging for Graph Based One-Class Classifiers. [Citation Graph (, )][DBLP]
   
   
2. 
   Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers. [Citation Graph (, )][DBLP]
   
   
3. 
   New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization. [Citation Graph (, )][DBLP]
   
   
4. 
   Incremental Learning of New Classes in Unbalanced Datasets: Learn ^{+ +} .UDNC. [Citation Graph (, )][DBLP]
   
   
5. 
   Tomographic Considerations in Ensemble Bias/Variance Decomposition. [Citation Graph (, )][DBLP]
   
   
6. 
   Choosing Parameters for Random Subspace Ensembles for fMRI Classification. [Citation Graph (, )][DBLP]
   
   
7. 
   An Experimental Study on Ensembles of Functional Trees. [Citation Graph (, )][DBLP]
   
   
8. 
   Multiple Classifier Systems under Attack. [Citation Graph (, )][DBLP]
   
   
9. 
   SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning. [Citation Graph (, )][DBLP]
   
   
10. 
    Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach. [Citation Graph (, )][DBLP]
    
    
11. 
    A Double Pruning Algorithm for Classification Ensembles. [Citation Graph (, )][DBLP]
    
    
12. 
    Estimation of the Number of Clusters Using Multiple Clustering Validity Indices. [Citation Graph (, )][DBLP]
    
    
13. 
    "Good" and "Bad" Diversity in Majority Vote Ensembles. [Citation Graph (, )][DBLP]
    
    
14. 
    Multi-information Ensemble Diversity. [Citation Graph (, )][DBLP]
    
    
15. 
    Dynamic Selection of Ensembles of Classifiers Using Contextual Information. [Citation Graph (, )][DBLP]
    
    
16. 
    Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems. [Citation Graph (, )][DBLP]
    
    
17. 
    A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. [Citation Graph (, )][DBLP]
    
    
18. 
    Combining Multiple Kernels by Augmenting the Kernel Matrix. [Citation Graph (, )][DBLP]
    
    
19. 
    Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles. [Citation Graph (, )][DBLP]
    
    
20. 
    Boosted Geometry-Based Ensembles. [Citation Graph (, )][DBLP]
    
    
21. 
    Online Non-stationary Boosting. [Citation Graph (, )][DBLP]
    
    
22. 
    Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting. [Citation Graph (, )][DBLP]
    
    
23. 
    Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition. [Citation Graph (, )][DBLP]
    
    
24. 
    Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition. [Citation Graph (, )][DBLP]
    
    
25. 
    Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting. [Citation Graph (, )][DBLP]
    
    
26. 
    A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM. [Citation Graph (, )][DBLP]
    
    
27. 
    A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation. [Citation Graph (, )][DBLP]
    
    
28. 
    A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression. [Citation Graph (, )][DBLP]
    
    
29. 
    Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells. [Citation Graph (, )][DBLP]
    
    
30. 
    An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction. [Citation Graph (, )][DBLP]
    
    
31. 
    Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network. [Citation Graph (, )][DBLP]
    
    
32. 
    Some Thoughts at the Interface of Ensemble Methods and Feature Selection. [Citation Graph (, )][DBLP]
    
    
33. 
    Multiple Classifier Systems for the Recogonition of Human Emotions. [Citation Graph (, )][DBLP]