Ethem Alpaydin

Orcid: 0000-0001-7506-0321

Affiliations:
  • Özyegin University, Istanbul, Turkey
  • Bogaziçi University, Turkey (former)


According to our database1, Ethem Alpaydin authored at least 82 papers between 1989 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
PathFinder: Discovering Decision Pathways in Deep Neural Networks.
CoRR, 2022

Distributed Decision Trees.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

2021
Dropout regularization in hierarchical mixture of experts.
Neurocomputing, 2021

2020
Continuously Constructive Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Training bidirectional generative adversarial networks with hints.
Pattern Recognit., 2020

Hierarchical Mixtures of Generators for Adversarial Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Learning Word Representations with Deep Neural Networks for Turkish.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018
What's in a Game? The Effect of Game Complexity on Deep Reinforcement Learning.
Proceedings of the Computer Games - 7th Workshop, 2018

Convolutional Soft Decision Trees.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Classifying multimodal data.
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018

2017
Unsupervised feature extraction with autoencoder trees.
Neurocomputing, 2017

2016
Bagging Soft Decision Trees.
Proceedings of the Machine Learning for Health Informatics, 2016

BeamECOC: A local search for the optimization of the ECOC matrix.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Machine Learning: The New AI
MIT Press, ISBN: 9780262529518, 2016

2015
Single- vs. multiple-instance classification.
Pattern Recognit., 2015

Autoencoder Trees.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014
Multivariate Comparison of Classification Algorithms.
CoRR, 2014

Budding Trees.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Classification and Ranking Approaches to Discriminative Language Modeling for ASR.
IEEE Trans. Speech Audio Process., 2013

Localized algorithms for multiple kernel learning.
Pattern Recognit., 2013

Mixtures of Large Margin Nearest Neighbor Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Regularizing Soft Decision Trees.
Proceedings of the Information Sciences and Systems 2013, 2013

2012
Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Cost-conscious comparison of supervised learning algorithms over multiple data sets.
Pattern Recognit., 2012

Eigenclassifiers for combining correlated classifiers.
Inf. Sci., 2012

Statistical Tests Using Hinge/<i>ε</i>-Sensitive Loss.
Proceedings of the Computer and Information Sciences III, 2012

Soft decision trees.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Learning the areas of expertise of classifiers in an ensemble.
Proceedings of the First World Conference on Information Technology, 2011

Canonical correlation analysis using within-class coupling.
Pattern Recognit. Lett., 2011

Regularizing multiple kernel learning using response surface methodology.
Pattern Recognit., 2011

Multiple Kernel Learning Algorithms.
J. Mach. Learn. Res., 2011

Multivariate Statistical Tests for Comparing Classification Algorithms.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Data Sampling and Dimensionality Reduction Approaches for Reranking ASR Outputs Using Discriminative Language Models.
Proceedings of the INTERSPEECH 2011, 2011

2010
Cost-conscious multiple kernel learning.
Pattern Recognit. Lett., 2010

Supervised learning of local projection kernels.
Neurocomputing, 2010

FLIP-ECOC: A Greedy Optimization of the ECOC Matrix.
Proceedings of the Computer and Information Sciences, 2010

Localized Multiple Kernel Regression.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2009
Incremental construction of classifier and discriminant ensembles.
Inf. Sci., 2009

An Incremental Framework Based on Cross-Validation for Estimating the Architecture of a Multilayer Perceptron.
Int. J. Pattern Recognit. Artif. Intell., 2009

Calculating the VC-dimension of decision trees.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

2008
Multiclass Posterior Probability Support Vector Machines.
IEEE Trans. Neural Networks, 2008

Localized multiple kernel learning.
Proceedings of the Machine Learning, 2008

2007
Learning the best subset of local features for face recognition.
Pattern Recognit., 2007

2006
Ordering and Finding the Best of K > 2 Supervised Learning Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005
Cost-conscious classifier ensembles.
Pattern Recognit. Lett., 2005

Linear discriminant trees.
Int. J. Pattern Recognit. Artif. Intell., 2005

Model Selection in Omnivariate Decision Trees.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Incremental Mixtures of Factor Analysers.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Introduction to machine learning.
Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-01211-9, 2004

2003
Estimating Distributions in Genetic Algorithms.
Proceedings of the Computer and Information Sciences, 2003

Optimal Gabor kernel location selection for face recognition.
Proceedings of the 2003 International Conference on Image Processing, 2003

Selection of Location, Frequency, and Orientation Parameters of 2D Gabor Wavelets for Face Recognition.
Proceedings of the Advanced Studies in Biometrics, Summer School on Biometrics, 2003

2002
Constructive feedforward ART clustering networks. II.
IEEE Trans. Neural Networks, 2002

Constructive feedforward ART clustering networks. I.
IEEE Trans. Neural Networks, 2002

A Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Handling of Deterministic Relationships in Constraint-based Causal Discovery.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Feature Selection for Pose Invariant Face Recognition.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Omnivariate decision trees.
IEEE Trans. Neural Networks, 2001

Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing.
Proceedings of the Artificial Neural Networks, 2001

2000
MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Two-stage approach for pose invariant face recognition.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
ANNSyS: an Analog Neural Network Synthesis System.
Neural Networks, 1999

Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms.
Neural Comput., 1999

Guest editorial.
Artif. Intell. Eng., 1999

Support Vector Machines for Multi-class Classification.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1998
Optical Recognition of Handwritten Digits.
Dataset, June, 1998

Pen-Based Recognition of Handwritten Digits.
Dataset, June, 1998

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

Soft vector quantization and the EM algorithm.
Neural Networks, 1998

Cascading classifiers.
Kybernetika, 1998

1997
Voting over Multiple Condensed Nearest Neighbors.
Artif. Intell. Rev., 1997

Fuzzy error diffusion of color images.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996
Local linear perceptrons for classification.
IEEE Trans. Neural Networks, 1996

1995
Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech Classification.
Neural Comput. Appl., 1995

Selective Attention for Handwritten Digit Recognition.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Distributed and local neural classifiers for phoneme recognition.
Pattern Recognit. Lett., 1994

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

1993
Multiple networks for function learning.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Multiple neural networks and weighted voting.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1989
What is a feature, that it may define a character, and a character, that it may be defined by a feature ?
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989


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