| Classifier Ensembles(I) |
| Weighted Bagging for Graph Based One-Class Classifiers / Santi Seguà ; Laura Igual ; Jordi Vitrià |
| Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers / Muhammad Atif Tahir ; Josef Kittler ; Krystian Mikolajczyk ; Fei Yan |
| New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization / Ahmed Salaheldin ; Neamat El Gayar |
| Tomographic Considerations in Ensemble Bias/Variance Decomposition / Gregory Ditzler ; Michael D. Muhlbaier ; Robi Polikar ; David Windridge |
| Choosing Parameters for Random Subspace Ensembles for fMRI Classification / Ludmila I. Kuncheva ; Catrin O. Plumpton |
| Classifier Ensembles(II) |
| An Experimental Study on Ensembles of Functional Trees / Juan J. RodrÃguez ; César GarcÃa-Osorio ; Jesús Maudes ; José Francisco DÃez-Pastor |
| Multiple Classifier Systems under Attack / Battista Biggio ; Giorgio Fumera ; Fabio Roli |
| SOCIAL: Self-Organizing Classifier ensemble for Adversarial Learning / Francesco Gargiulo ; Carlo Sansone |
| Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach / Giulia Troglio ; Marina Alberti ; Jón Atli Benediksson ; Gabriele Moser ; Sebastiano Bruno Serpico ; Einar Stefánsson |
| A Double Pruning Algorithm for Classification Ensembles / VÃctor Soto ; Gonzalo MartÃnez-Muñoz ; Daniel Hernández-Lobato ; Alberto Suárez |
| Estimation of the Number of Clusters Using Multiple Clustering Validity Indices / Krzysztof Kryszczuk ; Paul Hurley |
| Classifier Diversity |
| "Good" and "Bad" Diversity in Majority Vote Ensembles / Gavin Brown |
| Multi-information Ensemble Diversity / Zhi-Hua Zhou ; Nan Li |
| Classifier Selection |
| Dynamic Selection of Ensembles of Classifiers Using Contextual Information / Paulo R. Cavalin ; Robert Sabourin ; Ching Y. Suen |
| Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems / Wan-Jui Lee ; Robert P.W. Duin ; Horst Bunke |
| Combining Multiple Kernels |
| A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities / Alexander Tatarchuk ; Eugene Urlov ; Vadim Mottl |
| Combining Multiple Kernels by Augmenting the Kernel Matrix |
| Boosting and Bootstrapping |
| Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles / R.S. Smith ; T. Windeatt |
| Boosted Geometry-Based Ensembles / Oriol Pujol |
| Online Non-stationary Boosting / Adam Pocock ; Paraskevas Yiapanis ; Jeremy Singer ; Mikel Luján |
| Handwriting Recognition |
| Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting / Volkmar Frinken ; Andreas Fischer |
| Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition / Mohamed Farouk Abdel Hady ; Friedhelm Schwenker |
| Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition / Nabiha Azizi ; Nadir Farah ; Mokhtar Sellami ; Abdel Ennaji |
| Applications |
| Forecase Combination Strategies for Handling Structural Breaks for Time Series Forecasting / Waleed M. Azmy ; Amir F. Atiya ; Hisham El-Shishiny |
| A Multiple Classifier System for Classification of LIDAR Remote Sensing Data using Multi-class SVM / Farhad Samadzadegan ; Behnaz Bigdeli ; Pouria Ramzi |
| A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation / Luana Batista ; Eric Granger |
| A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression / Noha A. Yousri |
| Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells / Vincenzo Paduano ; Michele Ceccarelli |
| An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction / Matteo Re ; Giorgio Valentini |
| Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network / Mahmoud Khademi ; Mohammad Taghi Manzuri-Shalmani ; Mohammad Hadi Kiapour ; Ali Akbar Kiaei |
| Invited Papers |
| Some Thoughts at the Interface of Ensemble Methods and Feature Selection (Abstract) |
| Multiple Classifier Systems for the Recogonition of Human Emotions / Stefan Scherer ; Miriam Schmidt ; Martin Schels ; Michael Glodek |
| Erratum |
| Erratum to Biggio, B., Fumera, G., Roli, F., "Multiple classifier systems for adversarial classification tasks." In Benediktsson, J.A., Kittler, J., Roli, F., eds.: MCS 2009. Volume 5519 of Lecture Notes in Computer Science., Springer (2009) 132141 |
| Author Index |
| Classifier Ensembles(I) |
| Weighted Bagging for Graph Based One-Class Classifiers / Santi Seguà ; Laura Igual ; Jordi Vitrià |
| Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers / Muhammad Atif Tahir ; Josef Kittler ; Krystian Mikolajczyk ; Fei Yan |
| New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization / Ahmed Salaheldin ; Neamat El Gayar |
| Tomographic Considerations in Ensemble Bias/Variance Decomposition / Gregory Ditzler ; Michael D. Muhlbaier ; Robi Polikar ; David Windridge |
| Choosing Parameters for Random Subspace Ensembles for fMRI Classification / Ludmila I. Kuncheva ; Catrin O. Plumpton |
