| 102 | -- | 112 | Tin Kam Ho. A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors |
| 113 | -- | 120 | Shimon Cohen, Nathan Intrator. A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation |
| 121 | -- | 135 | Marina Skurichina, Robert P. W. Duin. Bagging, Boosting and the Random Subspace Method for Linear Classifiers |
| 136 | -- | 144 | Raffaele Cappelli, Dario Maio, Davide Maltoni. A Multi-Classifier Approach to Fingerprint Classification |
| 145 | -- | 153 | Christopher C. LuVogt. Learning to Listen to the Right Information Retrieval System |
| 154 | -- | 167 | Min Jang, Sungzoon Cho. Observational Learning Algorithm for an Ensemble of Neural Networks |
| 168 | -- | 179 | Yann Guermeur. Combining Discriminant Models with New Multi-Class SVMs |
| 180 | -- | 188 | Derek Partridge, Niall Griffith. Multiple Classifier Systems: Software Engineered, Automatically Modular Leading to a Taxonomic Overview |
| 189 | -- | 200 | Kagan Tumer, Joydeep Ghosh. Robust Combining of Disparate Classifiers through Order Statistics |
| 201 | -- | 209 | Patrice Latinne, Olivier Debeir, Christine Decaestecker. Combining Different Methods and Numbers of Weak Decision Trees |
| 210 | -- | 220 | Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford. Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis |
| 221 | -- | 233 | Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol. Multiple Classifier Fusion in Probabilistic Neural Networks |
| 234 | -- | 243 | Laurent Mascarilla, Carl Frélicot. Reject Strategies Driven Combination of Pattern Classifiers |