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ORCID3. MCS 2002: Cagliari, Italy
- Fabio Roli, Josef Kittler:
Multiple Classifier Systems, Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002, Proceedings. Lecture Notes in Computer Science 2364, Springer 2002, ISBN 3-540-43818-1
Invited Papers
- Joydeep Ghosh:
Multiclassifier Systems: Back to the Future. 1-15 - Ji Zhu, Trevor Hastie:
Support Vector Machines, Kernel Logistic Regression and Boosting. 16-26 - Sarunas Raudys:
Multiple Classification Systems in the Context of Feature Extraction and Selection. 27-41
Bagging and Boosting
- Terry Windeatt, Gholamreza Ardeshir:
Boosted Tree Ensembles for Solving Multiclass Problems. 42-51 - Nitesh V. Chawla
, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer:
Distributed Pasting of Small Votes. 52-61 - Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin:
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy. 62-71 - Bruno Caprile, Cesare Furlanello, Stefano Merler:
Highlighting Hard Patterns via AdaBoost Weights Evolution. 72-80 - Ludmila I. Kuncheva, Christopher J. Whitaker:
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse. 81-90
Ensemble Learning and Neural Networks
- Shuang Yang, Antony Browne, Phil D. Picton:
Multistage Neural Network Ensembles. 91-97 - Shimon Cohen, Nathan Intrator:
Forward and Backward Selection in Regression Hybrid Network. 98-107 - Amanda J. C. Sharkey:
Types of Multinet System. 108-117 - Francesco Mola, Roberta Siciliano:
Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining. 118-126
Design Methodologies
- Dymitr Ruta, Bogdan Gabrys:
New Measure of Classifier Dependency in Multiple Classifier Systems. 127-136 - Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina:
A Discussion on the Classifier Projection Space for Classifier Combining. 137-148 - David Windridge, Josef Kittler:
On the General Application of the Tomographic Classifier Fusion Methodology. 149-158 - Hakan Altinçay, Mübeccel Demirekler:
Post-processing of Classifier Outputs in Multiple Classifier Systems. 159-168
Combination Strategies
- Konstantinos Sirlantzis, Sanaul Hoque, Michael C. Fairhurst:
Trainable Multiple Classifier Schemes for Handwritten Character Recognition. 169-178 - Simon Günter, Horst Bunke:
Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition. 179-188 - Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy Neuenschwander:
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. 189-200 - Saso Dzeroski, Bernard Zenko:
Stacking with Multi-response Model Trees. 201-211 - Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík:
On Combining One-Class Classifiers for Image Database Retrieval. 212-221
Analysis and Performance Evaluation
- Giorgio Valentini, Thomas G. Dietterich:
Bias-Variance Analysis and Ensembles of SVM. 222-231 - Fabio Roli, Sarunas Raudys, Gian Luca Marcialis:
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs. 232-241 - Arunas Janeliunas, Sarunas Raudys:
Reduction of the Boasting Bias of Linear Experts. 242-251 - Fabio Roli, Giorgio Fumera:
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers. 252-261
Applications
- Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri, Giorgio Valentini:
Boosting and Classification of Electronic Nose Data. 262-271 - Raimondo Schettini, Carla Brambilla, Claudio Cusano:
Content-Based Classification of Digital Photos. 272-281 - Julià Minguillón, Anne Rosemary Tate, Carles Arús, John R. Griffiths:
Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours. 282-292 - Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, Giuseppina C. Gini:
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach. 293-303 - Luigi P. Cordella, Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Multi-expert System for Movie Segmentation. 304-313 - Josef Kittler, Marco Ballette, Jacek Czyz, Fabio Roli, Luc Vandendorpe:
Decision Level Fusion of Intramodal Personal Identity Verification Experts. 314-324 - Fabio Roli, Josef Kittler, Giorgio Fumera, Daniele Muntoni:
An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems. 325-336
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