10. MCS 2011: Naples, Italy

Invited Papers

• Shai Avidan:
  Ensemble Methods for Tracking and Segmentation (Abstract). 1
  
• Nicolò Cesa-Bianchi:
  Ensembles and Multiple Classifiers: A Game-Theoretic View. 2-5
  

Classifier Ensembles I

• Larry Shoemaker, Lawrence O. Hall:
  Anomaly Detection Using Ensembles. 6-15
  
• Nikita Spirin, Konstantin Vorontsov:
  Learning to Rank with Nonlinear Monotonic Ensemble. 16-25
  
• Claudio De Stefano, Francesco Fontanella, Gianluigi Folino, Alessandra Scotto di Freca:
  A Bayesian Approach for Combining Ensembles of GP Classifiers. 26-35
  

Classifier Ensembles II

• Jaume Gibert, Ernest Valveny, Oriol Ramos Terrades, Horst Bunke:
  Multiple Classifiers for Graph of Words Embedding. 36-45
  
• Amber Tomas:
  A Dynamic Logistic Multiple Classifier System for Online Classification. 46-55
  
• Stefan Faußer, Friedhelm Schwenker:
  Ensemble Methods for Reinforcement Learning with Function Approximation. 56-65
  

Trees and Forests

• José-Francisco Díez-Pastor, Cesar García-Osorio, Juan José Rodríguez, Andrés Bustillo:
  GRASP Forest: A New Ensemble Method for Trees. 66-75
  
• Juan José Rodríguez, José-Francisco Díez-Pastor, Cesar García-Osorio:
  Ensembles of Decision Trees for Imbalanced Data. 76-85
  
• Yubin Park, Joydeep Ghosh:
  Compact Ensemble Trees for Imbalanced Data. 86-95
  

One-Class Classifiers

• Veronika Cheplygina, David M. J. Tax:
  Pruned Random Subspace Method for One-Class Classifiers. 96-105
  
• Pierluigi Casale, Oriol Pujol, Petia Radeva:
  Approximate Convex Hulls Family for One-Class Classification. 106-115
  

Multiple Kernels

• Wan-Jui Lee, Robert P. W. Duin, Marco Loog:
  Generalized Augmentation of Multiple Kernels. 116-125
  
• Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge:
  A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. 126-136
  
• Muhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler:
  Two-Stage Augmented Kernel Matrix for Object Recognition. 137-146
  
• Fei Yan, Krystian Mikolajczyk, Josef Kittler:
  Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval. 147-156
  

Classifier Selection

• Luana Batista, Eric Granger, Robert Sabourin:
  Dynamic Ensemble Selection for Off-Line Signature Verification. 157-166
  
• Ignazio Pillai, Giorgio Fumera, Fabio Roli:
  Classifier Selection Approaches for Multi-label Problems. 167-176
  
• Maria Teresa Ricamato, Mario Molinara, Francesco Tortorella:
  Selection Strategies for pAUC-Based Combination of Dichotomizers. 177-186
  

Sequential Combination

• János Csirik, Peter Bertholet, Horst Bunke:
  Sequential Classifier Combination for Pattern Recognition in Wireless Sensor Networks. 187-196
  
• Eloi Puertas, Sergio Escalera, Oriol Pujol:
  Multi-class Multi-scale Stacked Sequential Learning. 197-206
  

ECOC

• Raymond S. Smith, M. Bober, Terry Windeatt:
  A Comparison of Random Forest with ECOC-Based Classifiers. 207-216
  
• Paolo Simeone, Claudio Marrocco, Francesco Tortorella:
  Two Stage Reject Rule for ECOC Classification Systems. 217-226
  
• Miguel Ángel Bautista, Oriol Pujol, Xavier Baró, Sergio Escalera:
  Introducing the Separability Matrix for Error Correcting Output Codes Coding. 227-236
  

Diversity

• Moacir P. Ponti Jr., João P. Papa:
  Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets. 237-248
  
• Yaxin Bi:
  Analyzing the Relationship between Diversity and Evidential Fusion Accuracy. 249-258
  

Clustering

• Anna Jurek, Yaxin Bi, Shengli Wu, Chris D. Nugent:
  Classification by Cluster Analysis: A New Meta-Learning Based Approach. 259-268
  
• Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
  C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. 269-278
  
• Vladimir B. Berikov:
  A Latent Variable Pairwise Classification Model of a Clustering Ensemble. 279-288
  
• Fabrizio Smeraldi, Manuele Bicego, Marco Cristani, Vittorio Murino:
  CLOOSTING: CLustering Data with bOOSTING. 289-298
  

Biometrics

• Nikolay Degtyarev, Oleg Seredin:
  A Geometric Approach to Face Detector Combining. 299-308
  
• Emanuela Marasco, Peter Johnson, Carlo Sansone, Stephanie A. C. Schuckers:
  Increase the Security of Multibiometric Systems by Incorporating a Spoofing Detection Algorithm in the Fusion Mechanism. 309-318
  
• Josef Kittler, Norman Poh, Amin Merati:
  Cohort Based Approach to Multiexpert Class Verification. 319-329
  

Computer Security

• Davide Ariu, Giorgio Giacinto:
  A Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers. 330-339
  
• Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
  Incremental Boolean Combination of Classifiers. 340-349
  
• Battista Biggio, Igino Corona, Giorgio Fumera, Giorgio Giacinto, Fabio Roli:
  Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks. 350-359
  
• Alberto Dainotti, Antonio Pescapè, Carlo Sansone, Antonio Quintavalle:
  Using a Behaviour Knowledge Space Approach for Detecting Unknown IP Traffic Flows. 360-369
  

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