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 | 2012 | |
|---|---|---|
| j16 |      | Hakan Altinçay, Zafer Erenel: Using the absolute difference of term occurrence probabilities in binary text categorization. Appl. Intell. 36(1): 148-160 (2012) |
| j15 | | Zafer Erenel, Hakan Altinçay: Nonlinear transformation of term frequencies for term weighting in text categorization. Eng. Appl. of AI 25(7): 1505-1514 (2012) |
| 2011 | ||
| j14 | | Zafer Erenel, Hakan Altinçay, Ekrem Varoglu: Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization. J. Inf. Sci. Eng. 27(3): 819-834 (2011) |
| j13 | | Önsen Toygar, Hakan Altinçay: Preserving spatial information and overcoming variations in appearance for face recognition. Pattern Anal. Appl. 14(1): 67-75 (2011) |
| 2010 | ||
| j12 | | Hakan Altinçay, Zafer Erenel: Analytical evaluation of term weighting schemes for text categorization. Pattern Recognition Letters 31(11): 1310-1323 (2010) |
| 2009 | ||
| j11 | | Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay: Classifier subset selection for biomedical named entity recognition. Appl. Intell. 31(3): 267-282 (2009) |
| 2007 | ||
| j10 | | Hakan Altinçay: Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation. Appl. Soft Comput. 7(3): 1072-1083 (2007) |
| j9 | | Hakan Altinçay: Decision trees using model ensemble-based nodes. Pattern Recognition 40(12): 3540-3551 (2007) |
| c9 | | Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay: Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms. IbPRIA (2) 2007: 202-209 |
| 2006 | ||
| j8 | | Hakan Altinçay: On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence. Appl. Intell. 25(1): 73-90 (2006) |
| 2005 | ||
| j7 | | Hakan Altinçay: A dempster-shafer theoretic framework for boosting based ensemble design. Pattern Anal. Appl. 8(3): 287-302 (2005) |
| j6 | | Hakan Altinçay: On naive Bayesian fusion of dependent classifiers. Pattern Recognition Letters 26(15): 2463-2473 (2005) |
| c8 | | Hakan Altinçay, Ali Tüzel: Combination of Boosted Classifiers Using Bounded Weights. ICAPR (1) 2005: 146-153 |
| 2004 | ||
| j5 | | Hakan Altinçay: Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms. Pattern Anal. Appl. 7(3): 285-295 (2004) |
| c7 | | Hakan Altinçay, Cem Ergün: Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost. SSPR/SPR 2004: 698-706 |
| 2003 | ||
| j4 | | Hakan Altinçay, Mübeccel Demirekler: Undesirable effects of output normalization in multiple classifier systems. Pattern Recognition Letters 24(9-10): 1163-1170 (2003) |
| j3 | | Hakan Altinçay, Mübeccel Demirekler: Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. Speech Communication 41(4): 531-547 (2003) |
| c6 | | Hakan Altinçay, Buket Çizili: Classifier Combination through Clustering in the Output Spaces. CAIP 2003: 487-493 |
| c5 | | Adnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren: A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. IEEE Congress on Evolutionary Computation (1) 2003: 256-263 |
| 2002 | ||
| j2 | | Mübeccel Demirekler, Hakan Altinçay: Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets. Pattern Recognition 35(11): 2365-2379 (2002) |
| c4 | | Hakan Altinçay, Mübeccel Demirekler: Why Does Output Normalization Create Problems in Multiple Classifier Systems? ICPR (2) 2002: 775-778 |
| c3 | | Hakan Altinçay, Mübeccel Demirekler: Post-processing of Classifier Outputs in Multiple Classifier Systems. Multiple Classifier Systems 2002: 159-168 |
| 2000 | ||
| j1 | | Hakan Altinçay, Mübeccel Demirekler: An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification. Speech Communication 30(4): 255-272 (2000) |
| 1999 | ||
| c2 | | Hakan Altinçay, Mübeccel Demirekler: On the use of supra model information from multiple classifiers for robust speaker identification. EUROSPEECH 1999 |
| c1 |  | Hakan Altinçay, Mübeccel Demirekler: Use of model confusion learning for speaker identification A rule-based approach. NSIP 1999: 321-325 |
| 1 | Adnan Acan | |
| 2 | Mübeccel Demirekler | |
| 3 | Nazife Dimililer | |
| 4 | Zafer Erenel | |
| 5 | Cem Ergün | |
| 6 | Yüce Tekol | |
| 7 | Önsen Toygar | |
| 8 | Ali Tüzel | |
| 9 | Ekrem Varoglu | |
| 10 | Buket Çizili | |
| 11 | Ahmet Ünveren |
Colors in the list of coauthors
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