 | 2012 |
| 24 |  | Hakan Altinçay,
Zafer Erenel:
Using the absolute difference of term occurrence probabilities in binary text categorization.
Appl. Intell. 36(1): 148-160 (2012) |
| 2011 |
| 23 |  | 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) |
| 22 |  | Önsen Toygar,
Hakan Altinçay:
Preserving spatial information and overcoming variations in appearance for face recognition.
Pattern Anal. Appl. 14(1): 67-75 (2011) |
| 2010 |
| 21 |  | Hakan Altinçay,
Zafer Erenel:
Analytical evaluation of term weighting schemes for text categorization.
Pattern Recognition Letters 31(11): 1310-1323 (2010) |
| 2009 |
| 20 |  | Nazife Dimililer,
Ekrem Varoglu,
Hakan Altinçay:
Classifier subset selection for biomedical named entity recognition.
Appl. Intell. 31(3): 267-282 (2009) |
| 2007 |
| 19 |  | Nazife Dimililer,
Ekrem Varoglu,
Hakan Altinçay:
Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms.
IbPRIA (2) 2007: 202-209 |
| 18 |  | Hakan Altinçay:
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation.
Appl. Soft Comput. 7(3): 1072-1083 (2007) |
| 17 |  | Hakan Altinçay:
Decision trees using model ensemble-based nodes.
Pattern Recognition 40(12): 3540-3551 (2007) |
| 2006 |
| 16 |  | Hakan Altinçay:
On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence.
Appl. Intell. 25(1): 73-90 (2006) |
| 2005 |
| 15 |  | Hakan Altinçay,
Ali Tüzel:
Combination of Boosted Classifiers Using Bounded Weights.
ICAPR (1) 2005: 146-153 |
| 14 |  | Hakan Altinçay:
A dempster-shafer theoretic framework for boosting based ensemble design.
Pattern Anal. Appl. 8(3): 287-302 (2005) |
| 13 |  | Hakan Altinçay:
On naive Bayesian fusion of dependent classifiers.
Pattern Recognition Letters 26(15): 2463-2473 (2005) |
| 2004 |
| 12 |  | Hakan Altinçay,
Cem Ergün:
Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost.
SSPR/SPR 2004: 698-706 |
| 11 |  | Hakan Altinçay:
Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms.
Pattern Anal. Appl. 7(3): 285-295 (2004) |
| 2003 |
| 10 |  | Hakan Altinçay,
Buket Çizili:
Classifier Combination through Clustering in the Output Spaces.
CAIP 2003: 487-493 |
| 9 |  | 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 |
| 8 |  | Hakan Altinçay,
Mübeccel Demirekler:
Undesirable effects of output normalization in multiple classifier systems.
Pattern Recognition Letters 24(9-10): 1163-1170 (2003) |
| 7 |  | Hakan Altinçay,
Mübeccel Demirekler:
Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence.
Speech Communication 41(4): 531-547 (2003) |
| 2002 |
| 6 |  | Hakan Altinçay,
Mübeccel Demirekler:
Why Does Output Normalization Create Problems in Multiple Classifier Systems?
ICPR (2) 2002: 775-778 |
| 5 |  | Hakan Altinçay,
Mübeccel Demirekler:
Post-processing of Classifier Outputs in Multiple Classifier Systems.
Multiple Classifier Systems 2002: 159-168 |
| 4 |  | 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) |
| 2000 |
| 3 |  | 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 |
| 2 |  | Hakan Altinçay,
Mübeccel Demirekler:
On the use of supra model information from multiple classifiers for robust speaker identification.
EUROSPEECH 1999 |
| 1 |  | Hakan Altinçay,
Mübeccel Demirekler:
Use of model confusion learning for speaker identification A rule-based approach.
NSIP 1999: 321-325 |