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Publications of Author

1. Hakan Altinçay, Buket Çizili
   Classifier Combination through Clustering in the Output Spaces. [Citation Graph (0, 0)][DBLP]
   CAIP, 2003, pp:487-493 [Conf]
   
2. Hakan Altinçay, Ali Tüzel
   Combination of Boosted Classifiers Using Bounded Weights. [Citation Graph (0, 0)][DBLP]
   ICAPR (1), 2005, pp:146-153 [Conf]
   
3. Hakan Altinçay, Mübeccel Demirekler
   Why Does Output Normalization Create Problems in Multiple Classifier Systems? [Citation Graph (0, 0)][DBLP]
   ICPR (2), 2002, pp:775-778 [Conf]
   
4. Hakan Altinçay, Mübeccel Demirekler
   Post-processing of Classifier Outputs in Multiple Classifier Systems. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2002, pp:159-168 [Conf]
   
5. Hakan Altinçay, Mübeccel Demirekler
   Use of model confusion learning for speaker identification A rule-based approach. [Citation Graph (0, 0)][DBLP]
   NSIP, 1999, pp:321-325 [Conf]
   
6. Hakan Altinçay, Cem Ergün
   Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost. [Citation Graph (0, 0)][DBLP]
   SSPR/SPR, 2004, pp:698-706 [Conf]
   
7. Hakan Altinçay
   On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence. [Citation Graph (0, 0)][DBLP]
   Appl. Intell., 2006, v:25, n:1, pp:73-90 [Journal]
   
8. Hakan Altinçay
   Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation. [Citation Graph (0, 0)][DBLP]
   Appl. Soft Comput., 2007, v:7, n:3, pp:1072-1083 [Journal]
   
9. Hakan Altinçay
   Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms. [Citation Graph (0, 0)][DBLP]
   Pattern Anal. Appl., 2004, v:7, n:3, pp:285-295 [Journal]
   
10. Hakan Altinçay
    A dempster-shafer theoretic framework for boosting based ensemble design. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2005, v:8, n:3, pp:287-302 [Journal]
    
11. Mübeccel Demirekler, Hakan Altinçay
    Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:11, pp:2365-2379 [Journal]
    
12. Hakan Altinçay
    On naive Bayesian fusion of dependent classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:15, pp:2463-2473 [Journal]
    
13. Hakan Altinçay, Mübeccel Demirekler
    Undesirable effects of output normalization in multiple classifier systems. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:9-10, pp:1163-1170 [Journal]
    
14. Hakan Altinçay, Mübeccel Demirekler
    Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2003, v:41, n:4, pp:531-547 [Journal]
    
15. Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay
    Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:202-209 [Conf]
    
16. Hakan Altinçay
    Decision trees using model ensemble-based nodes. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3540-3551 [Journal]
    
17. 
    A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. [Citation Graph (, )][DBLP]
    
    
18. 
    Classifier subset selection for biomedical named entity recognition. [Citation Graph (, )][DBLP]