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ORCIDHakan Altinçay
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2020 – today
- 2023
[j28]Hossein Ghaderi Zefrehi
, Hakan Altinçay:
MaMiPot: a paradigm shift for the classification of imbalanced data. J. Intell. Inf. Syst. 61(1): 299-324 (2023)- [j27]Hossein Ghaderi Zefrehi, Ghazaal Sheikhi, Hakan Altinçay:
Threshold prediction for detecting rare positive samples using a meta-learner. Pattern Anal. Appl. 26(1): 289-306 (2023) - 2021
- [j26]Ghazaal Sheikhi, Hakan Altinçay:
A novel dissimilarity metric based on feature-to-feature scatter frequencies for clustering-based feature selection in biomedical data. Comput. Intell. 37(4): 1865-1889 (2021) - 2020
- [j25]Hossein Ghaderi Zefrehi, Hakan Altinçay:
Imbalance learning using heterogeneous ensembles. Expert Syst. Appl. 142 (2020) - [j24]Ghazaal Sheikhi, Hakan Altinçay:
Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method. Expert Syst. Appl. 158: 113499 (2020) - [c17]Ghazaal Sheikhi, Hakan Altinçay:
Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods. ICPR 2020: 9340-9347
2010 – 2019
- 2019
- [j23]Dima Badawi, Hakan Altinçay:
Effective use of 2-termsets by discarding redundant member terms in bag-of-words representation. Neural Comput. Appl. 31(9): 5401-5418 (2019) - 2018
- [c16]Dima Badawi, Hakan Altinçay:
Compact Representation of Documents Using Terms and Termsets. MLDM (1) 2018: 77-84 - 2017
- [j22]Dima Badawi, Hakan Altinçay:
Termset weighting by adapting term weighting schemes to utilize cardinality statistics for binary text categorization. Appl. Intell. 47(2): 456-472 (2017) - 2016
- [c15]Noushin Hajarolasvadi, Ghazaal Sheikhi, Hakan Altinçay:
Employing Data from Diagnosed Patients for Undiagnosed Type 2 Diabetes Detection. ICIMTH 2016: 75-78 - 2015
- [j21]Kamran Kamaei, Hakan Altinçay:
Editing the nearest feature line classifier. Intell. Data Anal. 19(3): 563-580 (2015) - 2014
- [j20]Hakan Altinçay, Zafer Erenel:
Ternary encoding based feature extraction for binary text classification. Appl. Intell. 41(1): 310-326 (2014) - [j19]Dima Badawi, Hakan Altinçay:
A novel framework for termset selection and weighting in binary text classification. Eng. Appl. Artif. Intell. 35: 38-53 (2014) - 2013
- [j18]Zafer Erenel, Hakan Altinçay:
Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule. Neural Comput. Appl. 22(Supplement-1): 83-100 (2013) - [j17]Hakan Altinçay, Zafer Erenel:
Avoiding the interpolation inaccuracy in nearest feature line classifier by spectral feature analysis. Pattern Recognit. Lett. 34(12): 1372-1380 (2013) - [c14]Hakan Altinçay:
Feature Extraction Using Single Variable Classifiers for Binary Text Classification. IEA/AIE 2013: 332-340 - [c13]Hakan Altinçay:
Using linear regression residual of document vectors in text categorization. SIU 2013: 1-4 - 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. Artif. Intell. 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 Recognit. Lett. 31(11): 1310-1323 (2010)
2000 – 2009
- 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 Recognit. 40(12): 3540-3551 (2007) - [c12]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 Recognit. Lett. 26(15): 2463-2473 (2005) - [c11]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) - [c10]Hakan Altinçay, Cem Ergün:
Nonlinear decision function in speaker verification using a classifier ensemble. EUSIPCO 2004: 321-324 - [c9]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 Recognit. Lett. 24(9-10): 1163-1170 (2003) - [j3]Hakan Altinçay, Mübeccel Demirekler:
Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. Speech Commun. 41(4): 531-547 (2003) - [c8]Hakan Altinçay, Buket Çizili:
Classifier Combination through Clustering in the Output Spaces. CAIP 2003: 487-493 - [c7]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 2003: 256-263 - 2002
- [j2]Mübeccel Demirekler, Hakan Altinçay:
Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets. Pattern Recognit. 35(11): 2365-2379 (2002) - [c6]Hakan Altinçay, Mübeccel Demirekler:
Why Does Output Normalization Create Problems in Multiple Classifier Systems? ICPR (2) 2002: 775-778 - [c5]Hakan Altinçay, Mübeccel Demirekler:
Post-processing of Classifier Outputs in Multiple Classifier Systems. Multiple Classifier Systems 2002: 159-168 - 2001
- [c4]Hakan Altinçay, Mübeccel Demirekler:
Comparison of different objective functions for optimal linear combination of classifiers for speaker identification. ICASSP 2001: 401-404 - 2000
- [j1]Hakan Altinçay, Mübeccel Demirekler:
An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification. Speech Commun. 30(4): 255-272 (2000) - [c3]Hakan Altinçay, Mübeccel Demirekler:
A novel rank-based classifier combination scheme for speaker identification. ICASSP 2000: 1209-1212
1990 – 1999
- 1999
- [c2]Hakan Altinçay, Mübeccel Demirekler:
On the use of supra model information from multiple classifiers for robust speaker identification. EUROSPEECH 1999: 971-974 - [c1]Hakan Altinçay, Mübeccel Demirekler:
Use of model confusion learning for speaker identification A rule-based approach. NSIP 1999: 321-325
Coauthor Index
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