What is a feature, that it may define a character, and a character, that it may be defined by a feature ? - Ethem Alpaydin (NATO Neurocomputing, 1989)

Multiple neural networks and weighted voting. - Ethem Alpaydin (ICPR (2), 1992)

Multiple networks for function learning. - Ethem Alpaydin (ICNN, 1993)

GAL: Networks That Grow When They Learn and Shrink When They Forget. - Ethem Alpaydin (Int. J. Pattern Recognit. Artif. Intell., 1994)

Distributed and local neural classifiers for phoneme recognition. - Fikret S. Gürgen; R. Alpaydin; U. Ünlüakin; Ethem Alpaydin (Pattern Recognit. Lett., 1994)

Selective Attention for Handwritten Digit Recognition. - Ethem Alpaydin (NIPS, 1995)

Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech Classification. - Ethem Alpaydin; Fikret S. Gürgen (Neural Comput. Appl., 1995)

Local linear perceptrons for classification. - Ethem Alpaydin; Michael I. Jordan (IEEE Trans. Neural Networks, 1996)

Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio. - Fevzi Alimoglu; Ethem Alpaydin (ICDAR, 1997)

Fuzzy error diffusion of color images. - Lale Akarun; Dogan Özdemir; Ethem Alpaydin (ICIP (3), 1997)

Voting over Multiple Condensed Nearest Neighbors. - Ethem Alpaydin (Artif. Intell. Rev., 1997)

Cascading classifiers. - Ethem Alpaydin; Cenk Kaynak (Kybernetika, 1998)

Soft vector quantization and the EM algorithm. - Ethem Alpaydin (Neural Networks, 1998)

Engineering of Intelligent Systems EIS'98 (February 11-13, 1998). - Ethem Alpaydin (Robotica, 1998)

Pen-Based Recognition of Handwritten Digits. - Ethem Alpaydin; Fevzi Alimoglu (UCI Machine Learning Repository, 1998)

Optical Recognition of Handwritten Digits. - Ethem Alpaydin; Cenk Kaynak (UCI Machine Learning Repository, 1998)

Support Vector Machines for Multi-class Classification. - Eddy Mayoraz; Ethem Alpaydin (IWANN (2), 1999)

Guest editorial. - Ethem Alpaydin (Artif. Intell. Eng., 1999)

Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms. - Ethem Alpaydin (Neural Comput., 1999)

ANNSyS: an Analog Neural Network Synthesis System. - Ismet Bayraktaroglu; Arif Selçuk Ögrenci; Günhan Dündar; Sina Balkir; Ethem Alpaydin (Neural Networks, 1999)

Two-stage approach for pose invariant face recognition. - E. Demir; Lale Akarun; Ethem Alpaydin (ICASSP, 2000)

MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data. - Cenk Kaynak; Ethem Alpaydin (ICML, 2000)

Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing. - Fatih Köksal; Ethem Alpaydin; Günhan Dündar (ICANN, 2001)

Omnivariate decision trees. - Olcay Taner Yildiz; Ethem Alpaydin (IEEE Trans. Neural Networks, 2001)

Feature Selection for Pose Invariant Face Recognition. - Berk Gökberk; Lale Akarun; Ethem Alpaydin (ICPR (4), 2002)

Handling of Deterministic Relationships in Constraint-based Causal Discovery. - Yusuf Kenan Yilmaz; Ethem Alpaydin; H. Levent Akin; Taner Bilgiç (Probabilistic Graphical Models, 2002)

A Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition. - Albert Ali Salah; Ethem Alpaydin; Lale Akarun (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Constructive feedforward ART clustering networks. I. - Andrea Baraldi 001; Ethem Alpaydin (IEEE Trans. Neural Networks, 2002)

Constructive feedforward ART clustering networks. II. - Andrea Baraldi 001; Ethem Alpaydin (IEEE Trans. Neural Networks, 2002)

Selection of Location, Frequency, and Orientation Parameters of 2D Gabor Wavelets for Face Recognition. - Berk Gökberk; M. Okan Irfanoglu; Lale Akarun; Ethem Alpaydin (Advanced Studies in Biometrics, 2003)

Optimal Gabor kernel location selection for face recognition. - Berk Gökberk; M. Okan Irfanoglu; Lale Akarun; Ethem Alpaydin (ICIP (1), 2003)

Estimating Distributions in Genetic Algorithms. - Onur Dikmen; H. Levent Akin; Ethem Alpaydin (ISCIS, 2003)

Introduction to machine learning. - Ethem Alpaydin (MIT Press, 2004)

Incremental Mixtures of Factor Analysers. - Albert Ali Salah; Ethem Alpaydin (ICPR (1), 2004)

Model Selection in Omnivariate Decision Trees. - Olcay Taner Yildiz; Ethem Alpaydin (ECML, 2005)

Linear discriminant trees. - Olcay Taner Yildiz; Ethem Alpaydin (Int. J. Pattern Recognit. Artif. Intell., 2005)

Cost-conscious classifier ensembles. - Cigdem Demir; Ethem Alpaydin (Pattern Recognit. Lett., 2005)

Ordering and Finding the Best of K > 2 Supervised Learning Algorithms. - Olcay Taner Yildiz; Ethem Alpaydin (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Learning the best subset of local features for face recognition. - Berk Gökberk; M. Okan Irfanoglu; Lale Akarun; Ethem Alpaydin (Pattern Recognit., 2007)

Localized multiple kernel learning. - Mehmet Gönen; Ethem Alpaydin (ICML, 2008)

Multiclass Posterior Probability Support Vector Machines. - Mehmet Gönen; Ayse Gönül Tanugur; Ethem Alpaydin (IEEE Trans. Neural Networks, 2008)

Calculating the VC-dimension of decision trees. - Özlem Aslan; Olcay Taner Yildiz; Ethem Alpaydin (ISCIS, 2009)

An Incremental Framework Based on Cross-Validation for Estimating the Architecture of a Multilayer Perceptron. - Oya Aran; Olcay Taner Yildiz; Ethem Alpaydin (Int. J. Pattern Recognit. Artif. Intell., 2009)

Incremental construction of classifier and discriminant ensembles. - Aydin Ulas; Murat Semerci; Olcay Taner Yildiz; Ethem Alpaydin (Inf. Sci., 2009)

Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction. - Olcay Kursun; Ethem Alpaydin (ICAISC (1), 2010)

Localized Multiple Kernel Regression. - Mehmet Gönen; Ethem Alpaydin (ICPR, 2010)

FLIP-ECOC: A Greedy Optimization of the ECOC Matrix. - Cemre Zor; Berrin A. Yanikoglu; Terry Windeatt; Ethem Alpaydin (ISCIS, 2010)

Supervised learning of local projection kernels. - Mehmet Gönen; Ethem Alpaydin (Neurocomputing, 2010)

Cost-conscious multiple kernel learning. - Mehmet Gönen; Ethem Alpaydin (Pattern Recognit. Lett., 2010)

Data Sampling and Dimensionality Reduction Approaches for Reranking ASR Outputs Using Discriminative Language Models. - Erinç Dikici; Murat Semerci; Murat Saraclar; Ethem Alpaydin (INTERSPEECH, 2011)

Multivariate Statistical Tests for Comparing Classification Algorithms. - Olcay Taner Yildiz; Özlem Aslan; Ethem Alpaydin (LION, 2011)

Multiple Kernel Learning Algorithms. - Mehmet Gönen; Ethem Alpaydin (J. Mach. Learn. Res., 2011)

Regularizing multiple kernel learning using response surface methodology. - Mehmet Gönen; Ethem Alpaydin (Pattern Recognit., 2011)

Canonical correlation analysis using within-class coupling. - Olcay Kursun; Ethem Alpaydin; Oleg V. Favorov (Pattern Recognit. Lett., 2011)

Learning the areas of expertise of classifiers in an ensemble. - Esma Kilic; Ethem Alpaydin (WCIT, 2011)

Soft decision trees. - Ozan Irsoy; Olcay Taner Yildiz; Ethem Alpaydin (ICPR, 2012)

Statistical Tests Using Hinge/ε-Sensitive Loss. - Olcay Taner Yildiz; Ethem Alpaydin (ISCIS, 2012)

Eigenclassifiers for combining correlated classifiers. - Aydin Ulas; Olcay Taner Yildiz; Ethem Alpaydin (Inf. Sci., 2012)

Cost-conscious comparison of supervised learning algorithms over multiple data sets. - Aydin Ulas; Olcay Taner Yildiz; Ethem Alpaydin (Pattern Recognit., 2012)

Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies. - Ozan Irsoy; Olcay Taner Yildiz; Ethem Alpaydin (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Regularizing Soft Decision Trees. - Olcay Taner Yildiz; Ethem Alpaydin (ISCIS, 2013)

Mixtures of Large Margin Nearest Neighbor Classifiers. - Murat Semerci; Ethem Alpaydin (ECML/PKDD (2), 2013)

Localized algorithms for multiple kernel learning. - Mehmet Gönen; Ethem Alpaydin (Pattern Recognit., 2013)

Classification and Ranking Approaches to Discriminative Language Modeling for ASR. - Erinç Dikici; Murat Semerci; Murat Saraclar; Ethem Alpaydin (IEEE Trans. Speech Audio Process., 2013)

Budding Trees. - Ozan Irsoy; Olcay Taner Yildiz; Ethem Alpaydin (ICPR, 2014)

Multivariate Comparison of Classification Algorithms. - Olcay Taner Yildiz; Ethem Alpaydin (CoRR, 2014)

Autoencoder Trees. - Ozan Irsoy; Ethem Alpaydin (ACML, 2015)

Single- vs. multiple-instance classification. - Ethem Alpaydin; Veronika Cheplygina; Marco Loog; David M. J. Tax (Pattern Recognit., 2015)

Machine Learning: The New AI - Ethem Alpaydin (MIT Press, 2016)

BeamECOC: A local search for the optimization of the ECOC matrix. - Cemre Zor; Berrin A. Yanikoglu; Erinc Merdivan; Terry Windeatt; Josef Kittler; Ethem Alpaydin (ICPR, 2016)

Bagging Soft Decision Trees. - Olcay Taner Yildiz; Ozan Irsoy; Ethem Alpaydin (Machine Learning for Health Informatics, 2016)

Unsupervised feature extraction with autoencoder trees. - Ozan Irsoy; Ethem Alpaydin (Neurocomputing, 2017)

Classifying multimodal data. - Ethem Alpaydin (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

Convolutional Soft Decision Trees. - Alper Ahmetoglu; Ozan Irsoy; Ethem Alpaydin (ICANN (1), 2018)

What's in a Game? The Effect of Game Complexity on Deep Reinforcement Learning. - Erdem Emekligil; Ethem Alpaydin (CGW@IJCAI, 2018)

Learning Word Representations with Deep Neural Networks for Turkish. - Enes Burak Dündar; Ethem Alpaydin (SIU, 2019)

Hierarchical Mixtures of Generators for Adversarial Learning. - Alper Ahmetoglu; Ethem Alpaydin (ICPR, 2020)

Training bidirectional generative adversarial networks with hints. - Uras Mutlu; Ethem Alpaydin (Pattern Recognit., 2020)

Continuously Constructive Deep Neural Networks. - Ozan Irsoy; Ethem Alpaydin (IEEE Trans. Neural Networks Learn. Syst., 2020)

Dropout regularization in hierarchical mixture of experts. - Ozan Irsoy; Ethem Alpaydin (Neurocomputing, 2021)

Distributed Decision Trees. - Ozan Irsoy; Ethem Alpaydin (S+SSPR, 2022)

PathFinder: Discovering Decision Pathways in Deep Neural Networks. - Ozan Irsoy; Ethem Alpaydin (CoRR, 2022)

Half-Layered Neural Networks. - Ethem Alpaydin (CoRR, 2025)