Hakan Altinçay

According to our database, Hakan Altinçay authored at least 45 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

MaMiPot: a paradigm shift for the classification of imbalanced data.

Hossein Ghaderi Zefrehi, Hakan Altinçay

J. Intell. Inf. Syst., August, 2023

Threshold prediction for detecting rare positive samples using a meta-learner.

Hossein Ghaderi Zefrehi, Ghazaal Sheikhi, Hakan Altinçay

Pattern Anal. Appl., February, 2023

2021

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

2020

Imbalance learning using heterogeneous ensembles.

Hossein Ghaderi Zefrehi, Hakan Altinçay

Expert Syst. Appl., 2020

Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method.

Ghazaal Sheikhi, Hakan Altinçay

Expert Syst. Appl., 2020

Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods.

Ghazaal Sheikhi, Hakan Altinçay

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Effective use of 2-termsets by discarding redundant member terms in bag-of-words representation.

Dima Badawi, Hakan Altinçay

Neural Comput. Appl., 2019

2018

Compact Representation of Documents Using Terms and Termsets.

Dima Badawi, Hakan Altinçay

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017

Termset weighting by adapting term weighting schemes to utilize cardinality statistics for binary text categorization.

Dima Badawi, Hakan Altinçay

Appl. Intell., 2017

2016

Employing Data from Diagnosed Patients for Undiagnosed Type 2 Diabetes Detection.

Noushin Hajarolasvadi, Ghazaal Sheikhi, Hakan Altinçay

Proceedings of the Unifying the Applications and Foundations of Biomedical and Health Informatics [ICIMTH 2016, 2016

2015

Editing the nearest feature line classifier.

Kamran Kamaei, Hakan Altinçay

Intell. Data Anal., 2015

2014

A novel framework for termset selection and weighting in binary text classification.

Dima Badawi, Hakan Altinçay

Eng. Appl. Artif. Intell., 2014

Ternary encoding based feature extraction for binary text classification.

Hakan Altinçay, Zafer Erenel

Appl. Intell., 2014

2013

Avoiding the interpolation inaccuracy in nearest feature line classifier by spectral feature analysis.

Hakan Altinçay, Zafer Erenel

Pattern Recognit. Lett., 2013

Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule.

Zafer Erenel, Hakan Altinçay

Neural Comput. Appl., 2013

Using linear regression residual of document vectors in text categorization.

Hakan Altinçay

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Feature Extraction Using Single Variable Classifiers for Binary Text Classification.

Hakan Altinçay

Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012

Nonlinear transformation of term frequencies for term weighting in text categorization.

Zafer Erenel, Hakan Altinçay

Eng. Appl. Artif. Intell., 2012

Using the absolute difference of term occurrence probabilities in binary text categorization.

Hakan Altinçay, Zafer Erenel

Appl. Intell., 2012

2011

Preserving spatial information and overcoming variations in appearance for face recognition.

Önsen Toygar, Hakan Altinçay

Pattern Anal. Appl., 2011

Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization.

Zafer Erenel, Hakan Altinçay, Ekrem Varoglu

J. Inf. Sci. Eng., 2011

2010

Analytical evaluation of term weighting schemes for text categorization.

Hakan Altinçay, Zafer Erenel

Pattern Recognit. Lett., 2010

2009

Classifier subset selection for biomedical named entity recognition.

Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay

Appl. Intell., 2009

2007

Decision trees using model ensemble-based nodes.

Hakan Altinçay

Pattern Recognit., 2007

Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation.

Hakan Altinçay

Appl. Soft Comput., 2007

Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms.

Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006

On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence.

Hakan Altinçay

Appl. Intell., 2006

2005

On naive Bayesian fusion of dependent classifiers.

Hakan Altinçay

Pattern Recognit. Lett., 2005

A dempster-shafer theoretic framework for boosting based ensemble design.

Hakan Altinçay

Pattern Anal. Appl., 2005

Combination of Boosted Classifiers Using Bounded Weights.

Hakan Altinçay, Ali Tüzel

Proceedings of the Pattern Recognition and Data Mining, 2005

2004

Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms.

Hakan Altinçay

Pattern Anal. Appl., 2004

Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost.

Hakan Altinçay, Cem Ergün

Proceedings of the Structural, 2004

Nonlinear decision function in speaker verification using a classifier ensemble.

Hakan Altinçay, Cem Ergün

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence.

Hakan Altinçay, Mübeccel Demirekler

Speech Commun., 2003

Undesirable effects of output normalization in multiple classifier systems.

Hakan Altinçay, Mübeccel Demirekler

Pattern Recognit. Lett., 2003

A genetic algorithm with multiple crossover operators for optimal frequency assignment problem.

Adnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Classifier Combination through Clustering in the Output Spaces.

Hakan Altinçay, Buket Çizili

Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002

Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets.

Mübeccel Demirekler, Hakan Altinçay

Pattern Recognit., 2002

Post-processing of Classifier Outputs in Multiple Classifier Systems.

Hakan Altinçay, Mübeccel Demirekler

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Why Does Output Normalization Create Problems in Multiple Classifier Systems?

Hakan Altinçay, Mübeccel Demirekler

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Comparison of different objective functions for optimal linear combination of classifiers for speaker identification.

Hakan Altinçay, Mübeccel Demirekler

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification.

Hakan Altinçay, Mübeccel Demirekler

Speech Commun., 2000

A novel rank-based classifier combination scheme for speaker identification.

Hakan Altinçay, Mübeccel Demirekler

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Use of model confusion learning for speaker identification A rule-based approach.

Hakan Altinçay, Mübeccel Demirekler

Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

On the use of supra model information from multiple classifiers for robust speaker identification.

Hakan Altinçay, Mübeccel Demirekler

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999