Hakan Altinçay

45 papers B 2C 2Misc 2Journal 28Unranked 11
YearRankTypeTitle / Venue / Authors
2023 J jnl
MaMiPot: a paradigm shift for the classification of imbalanced data.
J. Intell. Inf. Syst.
Hossein Ghaderi Zefrehi, Hakan Altinçay
2023 J jnl
Threshold prediction for detecting rare positive samples using a meta-learner.
Pattern Anal. Appl.
Hossein Ghaderi Zefrehi, Ghazaal Sheikhi, Hakan Altinçay
2021 J jnl
A novel dissimilarity metric based on feature-to-feature scatter frequencies for clustering-based feature selection in biomedical data.
Comput. Intell.
Ghazaal Sheikhi, Hakan Altinçay
2020 J jnl
Imbalance learning using heterogeneous ensembles.
Expert Syst. Appl.
Hossein Ghaderi Zefrehi, Hakan Altinçay
2020 J jnl
Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method.
Expert Syst. Appl.
Ghazaal Sheikhi, Hakan Altinçay
2020 B conf
Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods.
ICPR
Ghazaal Sheikhi, Hakan Altinçay
2019 J jnl
Effective use of 2-termsets by discarding redundant member terms in bag-of-words representation.
Neural Comput. Appl.
Dima Badawi, Hakan Altinçay
2018 — conf
Compact Representation of Documents Using Terms and Termsets.
MLDM (1)
Dima Badawi, Hakan Altinçay
2017 J jnl
Termset weighting by adapting term weighting schemes to utilize cardinality statistics for binary text categorization.
Appl. Intell.
Dima Badawi, Hakan Altinçay
2016 — conf
Employing Data from Diagnosed Patients for Undiagnosed Type 2 Diabetes Detection.
ICIMTH
Noushin Hajarolasvadi, Ghazaal Sheikhi, Hakan Altinçay
2015 J jnl
Editing the nearest feature line classifier.
Intell. Data Anal.
Kamran Kamaei, Hakan Altinçay
2014 J jnl
A novel framework for termset selection and weighting in binary text classification.
Eng. Appl. Artif. Intell.
Dima Badawi, Hakan Altinçay
2014 J jnl
Ternary encoding based feature extraction for binary text classification.
Appl. Intell.
Hakan Altinçay, Zafer Erenel
2013 J jnl
Avoiding the interpolation inaccuracy in nearest feature line classifier by spectral feature analysis.
Pattern Recognit. Lett.
Hakan Altinçay, Zafer Erenel
2013 C conf
Feature Extraction Using Single Variable Classifiers for Binary Text Classification.
IEA/AIE
Hakan Altinçay
2013 J jnl
Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule.
Neural Comput. Appl.
Zafer Erenel, Hakan Altinçay
2013 — conf
Using linear regression residual of document vectors in text categorization.
SIU
Hakan Altinçay
2012 J jnl
Nonlinear transformation of term frequencies for term weighting in text categorization.
Eng. Appl. Artif. Intell.
Zafer Erenel, Hakan Altinçay
2012 J jnl
Using the absolute difference of term occurrence probabilities in binary text categorization.
Appl. Intell.
Hakan Altinçay, Zafer Erenel
2011 J jnl
Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization.
J. Inf. Sci. Eng.
Zafer Erenel, Hakan Altinçay, Ekrem Varoglu
2011 J jnl
Preserving spatial information and overcoming variations in appearance for face recognition.
Pattern Anal. Appl.
Önsen Toygar, Hakan Altinçay
2010 J jnl
Analytical evaluation of term weighting schemes for text categorization.
Pattern Recognit. Lett.
Hakan Altinçay, Zafer Erenel
2009 J jnl
Classifier subset selection for biomedical named entity recognition.
Appl. Intell.
Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay
2007 J jnl
Decision trees using model ensemble-based nodes.
Pattern Recognit.
Hakan Altinçay
2007 J jnl
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation.
Appl. Soft Comput.
Hakan Altinçay
2007 — conf
Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms.
IbPRIA (2)
Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay
2006 J jnl
On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence.
Appl. Intell.
Hakan Altinçay
2005 J jnl
A dempster-shafer theoretic framework for boosting based ensemble design.
Pattern Anal. Appl.
Hakan Altinçay
2005 — conf
Combination of Boosted Classifiers Using Bounded Weights.
ICAPR (1)
Hakan Altinçay, Ali Tüzel
2005 J jnl
On naive Bayesian fusion of dependent classifiers.
Pattern Recognit. Lett.
Hakan Altinçay
2004 — conf
Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost.
SSPR/SPR
Hakan Altinçay, Cem ErgÜn
2004 — conf
Nonlinear decision function in speaker verification using a classifier ensemble.
EUSIPCO
Hakan Altinçay, Cem ErgÜn
2004 J jnl
Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms.
Pattern Anal. Appl.
Hakan Altinçay
2003 B conf
A genetic algorithm with multiple crossover operators for optimal frequency assignment problem.
IEEE Congress on Evolutionary Computation
Adnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren
2003 C conf
Classifier Combination through Clustering in the Output Spaces.
CAIP
Hakan Altinçay, Buket Çizili
2003 J jnl
Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence.
Speech Commun.
Hakan Altinçay, Mübeccel Demirekler
2003 J jnl
Undesirable effects of output normalization in multiple classifier systems.
Pattern Recognit. Lett.
Hakan Altinçay, Mübeccel Demirekler
2002 J jnl
Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets.
Pattern Recognit.
Mübeccel Demirekler, Hakan Altinçay
2002 — conf
Post-processing of Classifier Outputs in Multiple Classifier Systems.
Multiple Classifier Systems
Hakan Altinçay, Mübeccel Demirekler
2002 — conf
Why Does Output Normalization Create Problems in Multiple Classifier Systems?
ICPR (2)
Hakan Altinçay, Mübeccel Demirekler
2001 Misc conf
Comparison of different objective functions for optimal linear combination of classifiers for speaker identification.
ICASSP
Hakan Altinçay, Mübeccel Demirekler
2000 Misc conf
A novel rank-based classifier combination scheme for speaker identification.
ICASSP
Hakan Altinçay, Mübeccel Demirekler
2000 J jnl
An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification.
Speech Commun.
Hakan Altinçay, Mübeccel Demirekler
1999 — conf
On the use of supra model information from multiple classifiers for robust speaker identification.
EUROSPEECH
Hakan Altinçay, Mübeccel Demirekler
1999 — conf
Use of model confusion learning for speaker identification A rule-based approach.
NSIP
Hakan Altinçay, Mübeccel Demirekler