Abstract is missing.
- Weighted Bagging for Graph Based One-Class ClassifiersSanti Seguí, Laura Igual, Jordi Vitrià. 1-10 [doi]
- Improving Multilabel Classification Performance by Using Ensemble of Multi-label ClassifiersMuhammad Atif Tahir, Josef Kittler, Krystian Mikolajczyk, Fei Yan. 11-21 [doi]
- New Feature Splitting Criteria for Co-training Using Genetic Algorithm OptimizationAhmed Salaheldin, Neamat El Gayar. 22-32 [doi]
- Incremental Learning of New Classes in Unbalanced Datasets: Learn::: + + :::.UDNCGregory Ditzler, Michael D. Muhlbaier, Robi Polikar. 33-42 [doi]
- Tomographic Considerations in Ensemble Bias/Variance DecompositionDavid Windridge. 43-53 [doi]
- Choosing Parameters for Random Subspace Ensembles for fMRI ClassificationLudmila I. Kuncheva, Catrin O. Plumpton. 54-63 [doi]
- An Experimental Study on Ensembles of Functional TreesJuan José Rodríguez, Cesar García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor. 64-73 [doi]
- Multiple Classifier Systems under AttackBattista Biggio, Giorgio Fumera, Fabio Roli. 74-83 [doi]
- SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial LearningFrancesco Gargiulo, Carlo Sansone. 84-93 [doi]
- Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier ApproachGiulia Troglio, Marina Alberti, Jón Atli Benediksson, Gabriele Moser, Sebastiano B. Serpico, Einar Stefánsson. 94-103 [doi]
- A Double Pruning Algorithm for Classification EnsemblesVíctor Soto, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez. 104-113 [doi]
- Estimation of the Number of Clusters Using Multiple Clustering Validity IndicesKrzysztof Kryszczuk, Paul Hurley. 114-123 [doi]
- Good and Bad Diversity in Majority Vote EnsemblesGavin Brown, Ludmila I. Kuncheva. 124-133 [doi]
- Multi-information Ensemble DiversityZhi-Hua Zhou, Nan Li. 134-144 [doi]
- Dynamic Selection of Ensembles of Classifiers Using Contextual InformationPaulo Rodrigo Cavalin, Robert Sabourin, Ching Y. Suen. 145-154 [doi]
- Selecting Structural Base Classifiers for Graph-Based Multiple Classifier SystemsWan-Jui Lee, Robert P. W. Duin, Horst Bunke. 155-164 [doi]
- A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition ModalitiesAlexander Tatarchuk, Eugene Urlov, Vadim Mottl, David Windridge. 165-174 [doi]
- Combining Multiple Kernels by Augmenting the Kernel MatrixFei Yan, Krystian Mikolajczyk, Josef Kittler, Muhammad Atif Tahir. 175-184 [doi]
- Class-Separability Weighting and Bootstrapping in Error Correcting Output Code EnsemblesRaymond S. Smith, Terry Windeatt. 185-194 [doi]
- Boosted Geometry-Based EnsemblesOriol Pujol. 195-204 [doi]
- Online Non-stationary BoostingAdam Pocock, Paraskevas Yiapanis, Jeremy Singer, Mikel Luján, Gavin Brown. 205-214 [doi]
- Combining Neural Networks to Improve Performance of Handwritten Keyword SpottingVolkmar Frinken, Andreas Fischer, Horst Bunke. 215-224 [doi]
- Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits RecognitionMohamed Farouk Abdel Hady, Friedhelm Schwenker. 225-234 [doi]
- Using Diversity in Classifier Set Selection for Arabic Handwritten RecognitionNabiha Azizi, Nadir Farah, Mokhtar Sellami, Abdel Ennaji. 235-244 [doi]
- Forecast Combination Strategies for Handling Structural Breaks for Time Series ForecastingWaleed M. Azmy, Amir F. Atiya, Hisham El-Shishiny. 245-253 [doi]
- A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVMFarhad Samadzadegan, Behnaz Bigdeli, Pouria Ramzi. 254-263 [doi]
- A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity RepresentationLuana Batista, Eric Granger, Robert Sabourin. 264-273 [doi]
- A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene ExpressionNoha A. Yousri. 274-283 [doi]
- Combining 2D and 3D Features to Classify Protein Mutants in HeLa CellsCarlo Sansone, Vincenzo Paduano, Michele Ceccarelli. 284-293 [doi]
- An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function PredictionMatteo Re, Giorgio Valentini. 294-303 [doi]
- Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural NetworkMahmoud Khademi, Mohammad Taghi Manzuri Shalmani, Mohammad Hadi Kiapour, Ali Akbar Kiaei. 304-313 [doi]
- Some Thoughts at the Interface of Ensemble Methods and Feature SelectionGavin Brown. 314 [doi]
- Multiple Classifier Systems for the Recogonition of Human EmotionsFriedhelm Schwenker, Stefan Scherer, Miriam Schmidt, Martin Schels, Michael Glodek. 315-324 [doi]