Ethem Alpaydin

Publication Activity (10 Years)

Years Active: 1989-2022
Publications (10 Years): 14

Top Topics

Nearest Neighbor Classifiers

Trec Test Collections

Top Venues

Pattern Recognit.

Publications

Ozan Irsoy, Ethem Alpaydin
Distributed Decision Trees. S+SSPR (2022)
Ozan Irsoy, Ethem Alpaydin
PathFinder: Discovering Decision Pathways in Deep Neural Networks. CoRR (2022)
Ozan Irsoy, Ethem Alpaydin
Dropout regularization in hierarchical mixture of experts. Neurocomputing 419 (2021)
Uras Mutlu, Ethem Alpaydin
Training bidirectional generative adversarial networks with hints. Pattern Recognit. 103 (2020)
Alper Ahmetoglu, Ethem Alpaydin
Hierarchical Mixtures of Generators for Adversarial Learning. ICPR (2020)
Ozan Irsoy, Ethem Alpaydin
Continuously Constructive Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (4) (2020)
Enes Burak Dündar, Ethem Alpaydin
Learning Word Representations with Deep Neural Networks for Turkish. SIU (2019)
Alper Ahmetoglu, Ethem Alpaydin
Hierarchical Mixtures of Generators for Adversarial Learning. CoRR (2019)
Alper Ahmetoglu, Ozan Irsoy, Ethem Alpaydin
Convolutional Soft Decision Trees. ICANN (1) (2018)
Erdem Emekligil, Ethem Alpaydin
What's in a Game? The Effect of Game Complexity on Deep Reinforcement Learning. CGW@IJCAI (2018)
Ozan Irsoy, Ethem Alpaydin
Dropout Regularization in Hierarchical Mixture of Experts. CoRR (2018)
Ozan Irsoy, Ethem Alpaydin
Continuously Constructive Deep Neural Networks. CoRR (2018)
Ozan Irsoy, Ethem Alpaydin
Unsupervised feature extraction with autoencoder trees. Neurocomputing 258 (2017)
Cemre Zor, Berrin A. Yanikoglu, Erinc Merdivan, Terry Windeatt, Josef Kittler, Ethem Alpaydin
BeamECOC: A local search for the optimization of the ECOC matrix. ICPR (2016)
Ozan Irsoy, Ethem Alpaydin
Autoencoder Trees. ACML (2015)
Ethem Alpaydin, Veronika Cheplygina, Marco Loog, David M. J. Tax
Single- vs. multiple-instance classification. Pattern Recognit. 48 (9) (2015)
Ozan Irsoy, Olcay Taner Yildiz, Ethem Alpaydin
Budding Trees. ICPR (2014)
Ozan Irsoy, Ethem Alpaydin
Distributed Decision Trees. CoRR (2014)
Olcay Taner Yildiz, Ethem Alpaydin
Multivariate Comparison of Classification Algorithms. CoRR (2014)
Ozan Irsoy, Ethem Alpaydin
Autoencoder Trees. CoRR (2014)
Murat Semerci, Ethem Alpaydin
Mixtures of Large Margin Nearest Neighbor Classifiers. ECML/PKDD (2) (2013)
Mehmet Gönen, Ethem Alpaydin
Localized algorithms for multiple kernel learning. Pattern Recognit. 46 (3) (2013)
Erinç Dikici, Murat Semerci, Murat Saraclar, Ethem Alpaydin
Classification and Ranking Approaches to Discriminative Language Modeling for ASR. IEEE Trans. Speech Audio Process. 21 (2) (2013)
Olcay Taner Yildiz, Ethem Alpaydin
Regularizing Soft Decision Trees. ISCIS (2013)
Aydin Ulas, Olcay Taner Yildiz, Ethem Alpaydin
Eigenclassifiers for combining correlated classifiers. Inf. Sci. 187 (2012)
Ozan Irsoy, Olcay Taner Yildiz, Ethem Alpaydin
Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (6) (2012)
Olcay Taner Yildiz, Ethem Alpaydin
-Sensitive Loss. ISCIS (2012)
Ozan Irsoy, Olcay Taner Yildiz, Ethem Alpaydin
Soft decision trees. ICPR (2012)
Aydin Ulas, Olcay Taner Yildiz, Ethem Alpaydin
Cost-conscious comparison of supervised learning algorithms over multiple data sets. Pattern Recognit. 45 (4) (2012)
Mehmet Gönen, Ethem Alpaydin
Regularizing multiple kernel learning using response surface methodology. Pattern Recognit. 44 (1) (2011)
Esma Kilic, Ethem Alpaydin
Learning the areas of expertise of classifiers in an ensemble. WCIT (2011)
Olcay Kursun, Ethem Alpaydin, Oleg V. Favorov
Canonical correlation analysis using within-class coupling. Pattern Recognit. Lett. 32 (2) (2011)
Erinç Dikici, Murat Semerci, Murat Saraclar, Ethem Alpaydin
Data Sampling and Dimensionality Reduction Approaches for Reranking ASR Outputs Using Discriminative Language Models. INTERSPEECH (2011)
Olcay Taner Yildiz, Özlem Aslan, Ethem Alpaydin
Multivariate Statistical Tests for Comparing Classification Algorithms. LION (2011)
Mehmet Gönen, Ethem Alpaydin
Multiple Kernel Learning Algorithms. J. Mach. Learn. Res. 12 (2011)
Cemre Zor, Berrin A. Yanikoglu, Terry Windeatt, Ethem Alpaydin
FLIP-ECOC: A Greedy Optimization of the ECOC Matrix. ISCIS (2010)
Mehmet Gönen, Ethem Alpaydin
Localized Multiple Kernel Regression. ICPR (2010)
Mehmet Gönen, Ethem Alpaydin
Cost-conscious multiple kernel learning. Pattern Recognit. Lett. 31 (9) (2010)
Mehmet Gönen, Ethem Alpaydin
Supervised learning of local projection kernels. Neurocomputing 73 (10-12) (2010)
Olcay Kursun, Ethem Alpaydin
Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction. ICAISC (1) (2010)
Oya Aran, Olcay Taner Yildiz, Ethem Alpaydin
An Incremental Framework Based on Cross-Validation for Estimating the Architecture of a Multilayer Perceptron. Int. J. Pattern Recognit. Artif. Intell. 23 (2) (2009)
Aydin Ulas, Murat Semerci, Olcay Taner Yildiz, Ethem Alpaydin
Incremental construction of classifier and discriminant ensembles. Inf. Sci. 179 (9) (2009)
Özlem Aslan, Olcay Taner Yildiz, Ethem Alpaydin
Calculating the VC-dimension of decision trees. ISCIS (2009)
Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin
Multiclass Posterior Probability Support Vector Machines. IEEE Trans. Neural Networks 19 (1) (2008)
Mehmet Gönen, Ethem Alpaydin
Localized multiple kernel learning. ICML (2008)
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun, Ethem Alpaydin
Learning the best subset of local features for face recognition. Pattern Recognit. 40 (5) (2007)
Olcay Taner Yildiz, Ethem Alpaydin
Ordering and Finding the Best of K > 2 Supervised Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 28 (3) (2006)
Olcay Taner Yildiz, Ethem Alpaydin
Linear discriminant trees. Int. J. Pattern Recognit. Artif. Intell. 19 (3) (2005)
Cigdem Demir, Ethem Alpaydin
Cost-conscious classifier ensembles. Pattern Recognit. Lett. 26 (14) (2005)
Olcay Taner Yildiz, Ethem Alpaydin
Model Selection in Omnivariate Decision Trees. ECML (2005)
Albert Ali Salah, Ethem Alpaydin
Incremental Mixtures of Factor Analysers. ICPR (1) (2004)
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun, Ethem Alpaydin
Selection of Location, Frequency, and Orientation Parameters of 2D Gabor Wavelets for Face Recognition. Advanced Studies in Biometrics (2003)
Onur Dikmen, H. Levent Akin, Ethem Alpaydin
Estimating Distributions in Genetic Algorithms. ISCIS (2003)
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun, Ethem Alpaydin
Optimal Gabor kernel location selection for face recognition. ICIP (1) (2003)
Albert Ali Salah, Ethem Alpaydin, Lale Akarun
A Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24 (3) (2002)
Andrea Baraldi, Ethem Alpaydin
Constructive feedforward ART clustering networks. II. IEEE Trans. Neural Networks 13 (3) (2002)
Yusuf Kenan Yilmaz, Ethem Alpaydin, H. Levent Akin, Taner Bilgiç
Handling of Deterministic Relationships in Constraint-based Causal Discovery. Probabilistic Graphical Models (2002)
Berk Gökberk, Lale Akarun, Ethem Alpaydin
Feature Selection for Pose Invariant Face Recognition. ICPR (4) (2002)
Andrea Baraldi, Ethem Alpaydin
Constructive feedforward ART clustering networks. I. IEEE Trans. Neural Networks 13 (3) (2002)
Olcay Taner Yildiz, Ethem Alpaydin
Omnivariate decision trees. IEEE Trans. Neural Networks 12 (6) (2001)
Fatih Köksal, Ethem Alpaydin, Günhan Dündar
Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing. ICANN (2001)
Olcay Taner Yildiz, Ethem Alpaydin
Linear Discriminant Trees. ICML (2000)
Cenk Kaynak, Ethem Alpaydin
MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data. ICML (2000)
E. Demir, Lale Akarun, Ethem Alpaydin
Two-stage approach for pose invariant face recognition. ICASSP (2000)
Ethem Alpaydin
Guest editorial. Artif. Intell. Eng. 13 (4) (1999)
Ismet Bayraktaroglu, Arif Selçuk Ögrenci, Günhan Dündar, Sina Balkir, Ethem Alpaydin
ANNSyS: an Analog Neural Network Synthesis System. Neural Networks 12 (2) (1999)
Eddy Mayoraz, Ethem Alpaydin
Support Vector Machines for Multi-class Classification. IWANN (2) (1999)
Ethem Alpaydin
Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms. Neural Comput. 11 (8) (1999)
Ethem Alpaydin, Cenk Kaynak
Cascading classifiers. Kybernetika 34 (4) (1998)
Ethem Alpaydin
Soft vector quantization and the EM algorithm. Neural Networks 11 (3) (1998)
Ethem Alpaydin
Engineering of Intelligent Systems EIS'98 (February 11-13, 1998). Robotica 16 (6) (1998)
Ismet Bayraktaroglu, Arif Selçuk Ögrenci, Günhan Dündar, Sina Balkir, Ethem Alpaydin
ANNSyS (an analog neural network synthesis system). ICNN (1997)
Lale Akarun, Dogan Özdemir, Ethem Alpaydin
Fuzzy error diffusion of color images. ICIP (3) (1997)
Fevzi Alimoglu, Ethem Alpaydin
Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio. ICDAR (1997)
Ethem Alpaydin
Voting over Multiple Condensed Nearest Neighbors. Artif. Intell. Rev. 11 (1-5) (1997)
Ethem Alpaydin, Michael I. Jordan
Local linear perceptrons for classification. IEEE Trans. Neural Networks 7 (3) (1996)
Ethem Alpaydin
Selective Attention for Handwritten Digit Recognition. NIPS (1995)
Ethem Alpaydin, Fikret S. Gürgen
Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech Classification. Neural Comput. Appl. 3 (1) (1995)
Fikret S. Gürgen, R. Alpaydin, U. Ünlüakin, Ethem Alpaydin
Distributed and local neural classifiers for phoneme recognition. Pattern Recognit. Lett. 15 (10) (1994)
Ethem Alpaydin
GAL: Networks That Grow When They Learn and Shrink When They Forget. Int. J. Pattern Recognit. Artif. Intell. 8 (1) (1994)
Ethem Alpaydin
Multiple networks for function learning. ICNN (1993)
Ethem Alpaydin
Multiple neural networks and weighted voting. ICPR (2) (1992)
Ethem Alpaydin
What is a feature, that it may define a character, and a character, that it may be defined by a feature ? NATO Neurocomputing (1989)