On the use of supra model information from multiple classifiers for robust speaker identification. - Hakan Altinçay; Mübeccel Demirekler (EUROSPEECH, 1999)

Use of model confusion learning for speaker identification A rule-based approach. - Hakan Altinçay; Mübeccel Demirekler (NSIP, 1999)

A novel rank-based classifier combination scheme for speaker identification. - Hakan Altinçay; Mübeccel Demirekler (ICASSP, 2000)

An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification. - Hakan Altinçay; Mübeccel Demirekler (Speech Commun., 2000)

Comparison of different objective functions for optimal linear combination of classifiers for speaker identification. - Hakan Altinçay; Mübeccel Demirekler (ICASSP, 2001)

Why Does Output Normalization Create Problems in Multiple Classifier Systems? - Hakan Altinçay; Mübeccel Demirekler (ICPR (2), 2002)

Post-processing of Classifier Outputs in Multiple Classifier Systems. - Hakan Altinçay; Mübeccel Demirekler (Multiple Classifier Systems, 2002)

Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets. - Mübeccel Demirekler; Hakan Altinçay (Pattern Recognit., 2002)

Classifier Combination through Clustering in the Output Spaces. - Hakan Altinçay; Buket Çizili (CAIP, 2003)

A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. - Adnan Acan; Hakan Altinçay; Yüce Tekol; Ahmet Ünveren (IEEE Congress on Evolutionary Computation, 2003)

Undesirable effects of output normalization in multiple classifier systems. - Hakan Altinçay; Mübeccel Demirekler (Pattern Recognit. Lett., 2003)

Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. - Hakan Altinçay; Mübeccel Demirekler (Speech Commun., 2003)

Nonlinear decision function in speaker verification using a classifier ensemble. - Hakan Altinçay; Cem Ergün (EUSIPCO, 2004)

Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost. - Hakan Altinçay; Cem Ergün (SSPR/SPR, 2004)

Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms. - Hakan Altinçay (Pattern Anal. Appl., 2004)

Combination of Boosted Classifiers Using Bounded Weights. - Hakan Altinçay; Ali Tüzel (ICAPR (1), 2005)

A dempster-shafer theoretic framework for boosting based ensemble design. - Hakan Altinçay (Pattern Anal. Appl., 2005)

On naive Bayesian fusion of dependent classifiers. - Hakan Altinçay (Pattern Recognit. Lett., 2005)

On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence. - Hakan Altinçay (Appl. Intell., 2006)

Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms. - Nazife Dimililer; Ekrem Varoglu; Hakan Altinçay (IbPRIA (2), 2007)

Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation. - Hakan Altinçay (Appl. Soft Comput., 2007)

Decision trees using model ensemble-based nodes. - Hakan Altinçay (Pattern Recognit., 2007)

Classifier subset selection for biomedical named entity recognition. - Nazife Dimililer; Ekrem Varoglu; Hakan Altinçay (Appl. Intell., 2009)

Analytical evaluation of term weighting schemes for text categorization. - Hakan Altinçay; Zafer Erenel (Pattern Recognit. Lett., 2010)

Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization. - Zafer Erenel; Hakan Altinçay; Ekrem Varoglu (J. Inf. Sci. Eng., 2011)

Preserving spatial information and overcoming variations in appearance for face recognition. - Önsen Toygar; Hakan Altinçay (Pattern Anal. Appl., 2011)

Using the absolute difference of term occurrence probabilities in binary text categorization. - Hakan Altinçay; Zafer Erenel (Appl. Intell., 2012)

Nonlinear transformation of term frequencies for term weighting in text categorization. - Zafer Erenel; Hakan Altinçay (Eng. Appl. Artif. Intell., 2012)

Feature Extraction Using Single Variable Classifiers for Binary Text Classification. - Hakan Altinçay (IEA/AIE, 2013)

Using linear regression residual of document vectors in text categorization. - Hakan Altinçay (SIU, 2013)

Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule. - Zafer Erenel; Hakan Altinçay (Neural Comput. Appl., 2013)

Avoiding the interpolation inaccuracy in nearest feature line classifier by spectral feature analysis. - Hakan Altinçay; Zafer Erenel (Pattern Recognit. Lett., 2013)

Ternary encoding based feature extraction for binary text classification. - Hakan Altinçay; Zafer Erenel (Appl. Intell., 2014)

A novel framework for termset selection and weighting in binary text classification. - Dima Badawi; Hakan Altinçay (Eng. Appl. Artif. Intell., 2014)

Editing the nearest feature line classifier. - Kamran Kamaei; Hakan Altinçay (Intell. Data Anal., 2015)

Employing Data from Diagnosed Patients for Undiagnosed Type 2 Diabetes Detection. - Noushin Hajarolasvadi; Ghazaal Sheikhi; Hakan Altinçay (ICIMTH, 2016)

Termset weighting by adapting term weighting schemes to utilize cardinality statistics for binary text categorization. - Dima Badawi; Hakan Altinçay (Appl. Intell., 2017)

Compact Representation of Documents Using Terms and Termsets. - Dima Badawi; Hakan Altinçay (MLDM (1), 2018)

Effective use of 2-termsets by discarding redundant member terms in bag-of-words representation. - Dima Badawi; Hakan Altinçay (Neural Comput. Appl., 2019)

Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods. - Ghazaal Sheikhi; Hakan Altinçay (ICPR, 2020)

Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method. - Ghazaal Sheikhi; Hakan Altinçay (Expert Syst. Appl., 2020)

Imbalance learning using heterogeneous ensembles. - Hossein Ghaderi Zefrehi; Hakan Altinçay (Expert Syst. Appl., 2020)

A novel dissimilarity metric based on feature-to-feature scatter frequencies for clustering-based feature selection in biomedical data. - Ghazaal Sheikhi; Hakan Altinçay (Comput. Intell., 2021)

Threshold prediction for detecting rare positive samples using a meta-learner. - Hossein Ghaderi Zefrehi; Ghazaal Sheikhi; Hakan Altinçay (Pattern Anal. Appl., 2023)

MaMiPot: a paradigm shift for the classification of imbalanced data. - Hossein Ghaderi Zefrehi; Hakan Altinçay (J. Intell. Inf. Syst., 2023)