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Publications of Author

1. Jeffrey Byorick, Robi Polikar
   Confidence Estimation Using the Incremental Learning Algorithm, Learn++. [Citation Graph (0, 0)][DBLP]
   ICANN, 2003, pp:181-188 [Conf]
   
2. Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak
   Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   ICANN (2), 2005, pp:607-612 [Conf]
   
3. Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
   Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn⁺⁺ Under Different Combination Rules. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2006, pp:254-263 [Conf]
   
4. Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S. Gürgen
   Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks. [Citation Graph (0, 0)][DBLP]
   ISCIS, 2005, pp:322-331 [Conf]
   
5. Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak
   Ensemble of SVMs for Incremental Learning. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2005, pp:246-256 [Conf]
   
6. Michael Lewitt, Robi Polikar
   An Ensemble Approach for Data Fusion with Learn++. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2003, pp:176-185 [Conf]
   
7. Michael Muhlbaier, Apostolos Topalis, Robi Polikar
   Learn++.MT: A New Approach to Incremental Learning. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2004, pp:52-61 [Conf]
   
8. Michael Muhlbaier, Apostolos Topalis, Robi Polikar
   Ensemble Confidence Estimates Posterior Probability. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2005, pp:326-335 [Conf]
   
9. Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar
   Combining classifiers for multisensor data fusion. [Citation Graph (0, 0)][DBLP]
   SMC (2), 2004, pp:1232-1237 [Conf]
   
10. Robi Polikar, L. Upda, S. S. Upda, Vasant Honavar
    Learn++: an incremental learning algorithm for supervised neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2001, v:31, n:4, pp:497-508 [Journal]
    
11. Michael Muhlbaier, Robi Polikar
    An Ensemble Approach for Incremental Learning in Nonstationary Environments. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:490-500 [Conf]
    
12. Joseph DePasquale, Robi Polikar
    Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:251-260 [Conf]
    
13. 
    Margin-based discriminant dimensionality reduction for visual recognition. [Citation Graph (, )][DBLP]
    
    
14. 
    Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach. [Citation Graph (, )][DBLP]
    
    
15. 
    Nearest hyperdisk methods for high-dimensional classification. [Citation Graph (, )][DBLP]
    
    
16. 
    Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach. [Citation Graph (, )][DBLP]
    
    
17. 
    Random Feature Subset Selection for Analysis of Data with Missing Features. [Citation Graph (, )][DBLP]
    
    
18. 
    Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease. [Citation Graph (, )][DBLP]
    
    
19. 
    Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease. [Citation Graph (, )][DBLP]
    
    
20. 
    Learning concept drift in nonstationary environments using an ensemble of classifiers based approach. [Citation Graph (, )][DBLP]
    
    
21. 
    Incremental Learning of Variable Rate Concept Drift. [Citation Graph (, )][DBLP]
    
    
22. 
    Incremental Learning of New Classes in Unbalanced Datasets: Learn ^{+ +} .UDNC. [Citation Graph (, )][DBLP]