MCS 2003 Program

Workshop Program

Wednesday 9 June to Friday 11 June, 2004

Tuesday 8
18.00 - 19.00	Registration

Wednesday 9
08.00	Registration
08.45	Opening Remarks
09.00-10.00	Invited Talk Chair: R.P.W. Duin Classifier Ensembles for Changing Environments L. I. Kuncheva (University of Wales, Bangor, UK)
10.00-10.25	Coffee Break
10.25-11.40	Session 1: Bagging and Boosting Chair: H. Bunke N.C. Oza AveBoost2: Boosting for Noisy Data E. Tapia, J.C. González, A. Hütemann, J. García-Villalba Beyond Boosting: Recursive ECOC Learning Machines B. Caprile, S. Merler, C. Furlanello, G. Jurman Exact Bagging with k-Nearest Neighbour Classifiers
11.40-12.55	Session 2: Design Methods Chair: N. Oza A. Schenker, H. Bunke, M. Last, A. Kandel Building Graph-Based Classifier Ensembles by Random Node Selection R.E. Banfield, L.O. Hall, K.W. Bowyer, D. Bhadoria A Comparison of Ensemble Creation Techniques Against Bagging S. Raudys, M. Iwamura Multiple Classifiers System for Reducing Influences of Atypical Observations
13.00-14.30	Lunch
14.30-15.45	Session 3: Design Methods Chair: C. Sansone T. Windeatt Spectral Measure for Multi-Class Problems D. Windridge, R. Patenall, S. Luttrell, J. Kittler The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation C. Marrocco, F. Tortorella A Method for Designing Cost-Sensitive ECOC
15.45-16.05	Coffee Break
15.45-16.45	Poster Session V. Estruch, C. Ferri, J. Hernández-Orallo, M.J.Ramírez-Quintana Bagging Decision Multi-Trees M. Saerens, F. Fouss Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach L. Chen, M. Kamel, Ju Jiang A Modular System for the Classification of Time Series Data N. Rooney, D. Patterson, S. Anand, A. Tsymbal Dynamic Integration of Regression Models C. Hernandez-Espinosa, M. Fernandez-Redondo, J.T. Sospedra First Experiments on Ensembles of Radial Basis Functions G. Valentini Random Aggregated and Bagged Ensembles of SVMs: an Emzpirical Bias-Variance Analysis H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: the Case of Two Classifiers R. Dara, M. Kamel Sharing Training Patterns among Multiple Classifiers L. Didaci, G. Giacinto Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule
16.45-18.00	Session 4: Analysis and Ensemble Learning Chair: T. Windeatt S. Rajan, J. Ghosh An Empirical Comparison of Hierarchical vs. Two-level Approaches to Multiclass Problems P. Melville, N. Shah, L. Mihalkova, R.J. Mooney Experiments on Ensembles with Missing and Noisy Data M. Muhlbaier, A. Topalis, R. Polikar Learn++.MT: A New Approach to Incremental Learning

Thursday 10
09.00-10.00	Invited Talk Chair: J. Ghosh A Generic Sensor Fusion Problem: Classification and Function Estimation N.S.V. Rao (Oak Ridge National Laboratory, USA)
10.00-10.25	Coffee Break
10.25-11.40	Session 5: Combination Methods Chair: S. Merler P. Juszczak, R.P.W. Duin Combining One-Class Classifiers to Classify Missing Data I.M. de Diego, J.M. Moguerza, A. Munoz Combining Kernel Information for Support Vector Classification H.-J. Kang Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate
11.40-12.55	Session 6: Combination Methods Chair: F. Tortorella E. Pekalska, M. Skurichina, R.P. W. Duin Combining Dissimilarity Representations in One-Class Classifier Problems H. Ayad, O. Basir, M. Kamel A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles P. Bonissone, K. Goebel, W. Yan Classifier Fusion Using Triangular Norms
13.00-14.30	Lunch
14.30-15.45	Session 7: Applications Chair: V. Svetnik D. Windridge, R. Bowden Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign S. Guenter, H. Bunke Ensembles of Classifiers Derived from Multiple Prototypes and their Application to Handwriting Recognition L. P. Cordella, A. Limongiello, C. Sansone Network Intrusion Detection by a Multi-Stage Classification System
15.45-16.05	Coffee Break
16.05-17.05	Round Table Discussion Chairmen: J. Ghosh, N. Oza
20.00	Social Dinner

Friday 11
09.00-10.00	Invited Talk Chair: F. Roli The Information Society Technologies Research Programme Andrea Servida (European Commission, DG Information Society)
10.00-10.25	Coffee Break
10.25-11.40	Session 8: Applications Chair: P. Bonissone V. Svetnik, A. Liaw, C. Tong, T. Wang Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules J. Kittler, M. Sadeghi Physic-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification G.L. Marcialis, F. Roli High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers
11.40-12.00	Conclusions of Round Table Discussion Chairmen: J. Ghosh, N. Oza
12.00	Closing