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ORCIDEthem Alpaydin
Person information
- affiliation: Özyegin University, Istanbul, Turkey
- affiliation (former): Bogaziçi University, Turkey
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2020 – today
- 2022
[c39]Ozan Irsoy
, Ethem Alpaydin:
Distributed Decision Trees. S+SSPR 2022: 152-162- [i7]Ozan Irsoy, Ethem Alpaydin:
PathFinder: Discovering Decision Pathways in Deep Neural Networks. CoRR abs/2210.00319 (2022) - 2021
- [j37]Ozan Irsoy, Ethem Alpaydin:
Dropout regularization in hierarchical mixture of experts. Neurocomputing 419: 148-156 (2021) - 2020
- [j36]Uras Mutlu, Ethem Alpaydin:
Training bidirectional generative adversarial networks with hints. Pattern Recognit. 103: 107320 (2020) - [j35]Ozan Irsoy, Ethem Alpaydin:
Continuously Constructive Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1124-1133 (2020) - [c38]Alper Ahmetoglu, Ethem Alpaydin:
Hierarchical Mixtures of Generators for Adversarial Learning. ICPR 2020: 316-323
2010 – 2019
- 2019
- [c37]Enes Burak Dündar, Ethem Alpaydin:
Learning Word Representations with Deep Neural Networks for Turkish. SIU 2019: 1-4 - [i6]Alper Ahmetoglu, Ethem Alpaydin:
Hierarchical Mixtures of Generators for Adversarial Learning. CoRR abs/1911.02069 (2019) - 2018
- [c36]Alper Ahmetoglu, Ozan Irsoy, Ethem Alpaydin:
Convolutional Soft Decision Trees. ICANN (1) 2018: 134-141 - [c35]Erdem Emekligil, Ethem Alpaydin:
What's in a Game? The Effect of Game Complexity on Deep Reinforcement Learning. CGW@IJCAI 2018: 147-163 - [p2]Ethem Alpaydin:
Classifying multimodal data. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 49-69 - [i5]Ozan Irsoy, Ethem Alpaydin:
Continuously Constructive Deep Neural Networks. CoRR abs/1804.02491 (2018) - [i4]Ozan Irsoy, Ethem Alpaydin:
Dropout Regularization in Hierarchical Mixture of Experts. CoRR abs/1812.10158 (2018) - 2017
- [j34]Ozan Irsoy, Ethem Alpaydin:
Unsupervised feature extraction with autoencoder trees. Neurocomputing 258: 63-73 (2017) - 2016
- [b2]Ethem Alpaydin:
Machine Learning: The New AI. MIT Press 2016, ISBN 9780262337588 - [c34]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: 198-203 - [p1]Olcay Taner Yildiz, Ozan Irsoy, Ethem Alpaydin:
Bagging Soft Decision Trees. Machine Learning for Health Informatics 2016: 25-36 - 2015
- [j33]Ethem Alpaydin, Veronika Cheplygina, Marco Loog, David M. J. Tax:
Single- vs. multiple-instance classification. Pattern Recognit. 48(9): 2831-2838 (2015) - [c33]Ozan Irsoy, Ethem Alpaydin:
Autoencoder Trees. ACML 2015: 378-390 - 2014
- [c32]Ozan Irsoy, Olcay Taner Yildiz, Ethem Alpaydin:
Budding Trees. ICPR 2014: 3582-3587 - [i3]Olcay Taner Yildiz, Ethem Alpaydin:
Multivariate Comparison of Classification Algorithms. CoRR abs/1409.4566 (2014) - [i2]Ozan Irsoy, Ethem Alpaydin:
Autoencoder Trees. CoRR abs/1409.7461 (2014) - [i1]Ozan Irsoy, Ethem Alpaydin:
Distributed Decision Trees. CoRR abs/1412.6388 (2014) - 2013
- [j32]Mehmet Gönen, Ethem Alpaydin:
Localized algorithms for multiple kernel learning. Pattern Recognit. 46(3): 795-807 (2013) - [j31]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): 291-300 (2013) - [c31]Olcay Taner Yildiz, Ethem Alpaydin:
Regularizing Soft Decision Trees. ISCIS 2013: 15-21 - [c30]Murat Semerci, Ethem Alpaydin:
Mixtures of Large Margin Nearest Neighbor Classifiers. ECML/PKDD (2) 2013: 675-688 - 2012
- [j30]Aydin Ulas, Olcay Taner Yildiz, Ethem Alpaydin:
Eigenclassifiers for combining correlated classifiers. Inf. Sci. 187: 109-120 (2012) - [j29]Aydin Ulas, Olcay Taner Yildiz, Ethem Alpaydin:
Cost-conscious comparison of supervised learning algorithms over multiple data sets. Pattern Recognit. 45(4): 1772-1781 (2012) - [j28]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): 1663-1675 (2012) - [c29]Ozan Irsoy, Olcay Taner Yildiz, Ethem Alpaydin:
Soft decision trees. ICPR 2012: 1819-1822 - [c28]Olcay Taner Yildiz, Ethem Alpaydin:
Statistical Tests Using Hinge/ε-Sensitive Loss. ISCIS 2012: 153-160 - 2011
- [j27]Mehmet Gönen, Ethem Alpaydin:
Multiple Kernel Learning Algorithms. J. Mach. Learn. Res. 12: 2211-2268 (2011) - [j26]Mehmet Gönen, Ethem Alpaydin:
Regularizing multiple kernel learning using response surface methodology. Pattern Recognit. 44(1): 159-171 (2011) - [j25]Olcay Kursun, Ethem Alpaydin, Oleg V. Favorov:
Canonical correlation analysis using within-class coupling. Pattern Recognit. Lett. 32(2): 134-144 (2011) - [c27]Erinç Dikici, Murat Semerci, Murat Saraclar, Ethem Alpaydin:
Data Sampling and Dimensionality Reduction Approaches for Reranking ASR Outputs Using Discriminative Language Models. INTERSPEECH 2011: 1461-1464 - [c26]Olcay Taner Yildiz, Özlem Aslan, Ethem Alpaydin:
Multivariate Statistical Tests for Comparing Classification Algorithms. LION 2011: 1-15 - [c25]Esma Kilic, Ethem Alpaydin:
Learning the areas of expertise of classifiers in an ensemble. WCIT 2011: 74-82 - 2010
- [j24]Mehmet Gönen, Ethem Alpaydin:
Supervised learning of local projection kernels. Neurocomputing 73(10-12): 1694-1703 (2010) - [j23]Mehmet Gönen, Ethem Alpaydin:
Cost-conscious multiple kernel learning. Pattern Recognit. Lett. 31(9): 959-965 (2010) - [c24]Olcay Kursun, Ethem Alpaydin:
Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction. ICAISC (1) 2010: 430-436 - [c23]Mehmet Gönen, Ethem Alpaydin:
Localized Multiple Kernel Regression. ICPR 2010: 1425-1428 - [c22]Cemre Zor, Berrin A. Yanikoglu, Terry Windeatt, Ethem Alpaydin:
FLIP-ECOC: A Greedy Optimization of the ECOC Matrix. ISCIS 2010: 149-154
2000 – 2009
- 2009
- [j22]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): 159-190 (2009) - [j21]Aydin Ulas, Murat Semerci, Olcay Taner Yildiz, Ethem Alpaydin:
Incremental construction of classifier and discriminant ensembles. Inf. Sci. 179(9): 1298-1318 (2009) - [c21]Özlem Aslan, Olcay Taner Yildiz, Ethem Alpaydin:
Calculating the VC-dimension of decision trees. ISCIS 2009: 193-198 - 2008
- [j20]Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin:
Multiclass Posterior Probability Support Vector Machines. IEEE Trans. Neural Networks 19(1): 130-139 (2008) - [c20]Mehmet Gönen, Ethem Alpaydin:
Localized multiple kernel learning. ICML 2008: 352-359 - 2007
- [j19]Berk Gökberk, M. Okan Irfanoglu, Lale Akarun, Ethem Alpaydin:
Learning the best subset of local features for face recognition. Pattern Recognit. 40(5): 1520-1532 (2007) - 2006
- [j18]Olcay Taner Yildiz, Ethem Alpaydin:
Ordering and Finding the Best of K > 2 Supervised Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 392-402 (2006) - 2005
- [j17]Olcay Taner Yildiz, Ethem Alpaydin:
Linear discriminant trees. Int. J. Pattern Recognit. Artif. Intell. 19(3): 323-353 (2005) - [j16]Cigdem Demir, Ethem Alpaydin:
Cost-conscious classifier ensembles. Pattern Recognit. Lett. 26(14): 2206-2214 (2005) - [c19]Olcay Taner Yildiz, Ethem Alpaydin:
Model Selection in Omnivariate Decision Trees. ECML 2005: 473-484 - 2004
- [b1]Ethem Alpaydin:
Introduction to machine learning. Adaptive computation and machine learning, MIT Press 2004, ISBN 978-0-262-01211-9, pp. I-XXX, 1-415 - [c18]Albert Ali Salah, Ethem Alpaydin:
Incremental Mixtures of Factor Analysers. ICPR (1) 2004: 276-279 - 2003
- [c17]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: 138-146 - [c16]Berk Gökberk, M. Okan Irfanoglu, Lale Akarun, Ethem Alpaydin:
Optimal Gabor kernel location selection for face recognition. ICIP (1) 2003: 677-680 - [c15]Onur Dikmen, H. Levent Akin, Ethem Alpaydin:
Estimating Distributions in Genetic Algorithms. ISCIS 2003: 521-528 - [e1]Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu:
Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings. Lecture Notes in Computer Science 2714, Springer 2003, ISBN 3-540-40408-2 [contents] - 2002
- [j15]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): 420-425 (2002) - [j14]Andrea Baraldi, Ethem Alpaydin:
Constructive feedforward ART clustering networks. I. IEEE Trans. Neural Networks 13(3): 645-661 (2002) - [j13]Andrea Baraldi, Ethem Alpaydin:
Constructive feedforward ART clustering networks. II. IEEE Trans. Neural Networks 13(3): 662-677 (2002) - [c14]Berk Gökberk, Lale Akarun, Ethem Alpaydin:
Feature Selection for Pose Invariant Face Recognition. ICPR (4) 2002: 306-309 - [c13]Yusuf Kenan Yilmaz, Ethem Alpaydin, H. Levent Akin, Taner Bilgiç:
Handling of Deterministic Relationships in Constraint-based Causal Discovery. Probabilistic Graphical Models 2002 - 2001
- [j12]Olcay Taner Yildiz, Ethem Alpaydin:
Omnivariate decision trees. IEEE Trans. Neural Networks 12(6): 1539-1546 (2001) - [c12]Fatih Köksal, Ethem Alpaydin, Günhan Dündar:
Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing. ICANN 2001: 211-216 - 2000
- [c11]E. Demir, Lale Akarun, Ethem Alpaydin:
Two-stage approach for pose invariant face recognition. ICASSP 2000: 2342-2344 - [c10]Cenk Kaynak, Ethem Alpaydin:
MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data. ICML 2000: 455-462 - [c9]Olcay Taner Yildiz, Ethem Alpaydin:
Linear Discriminant Trees. ICML 2000: 1175-1182
1990 – 1999
- 1999
- [j11]Ethem Alpaydin:
Guest editorial. Artif. Intell. Eng. 13(4): 339 (1999) - [j10]Ethem Alpaydin:
Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms. Neural Comput. 11(8): 1885-1892 (1999) - [j9]Ismet Bayraktaroglu, Arif Selçuk Ögrenci, Günhan Dündar, Sina Balkir, Ethem Alpaydin:
ANNSyS: an Analog Neural Network Synthesis System. Neural Networks 12(2): 325-338 (1999) - [c8]Eddy Mayoraz, Ethem Alpaydin:
Support Vector Machines for Multi-class Classification. IWANN (2) 1999: 833-842 - 1998
- [j8]Ethem Alpaydin, Cenk Kaynak:
Cascading classifiers. Kybernetika 34(4): 369-374 (1998) - [j7]Ethem Alpaydin:
Soft vector quantization and the EM algorithm. Neural Networks 11(3): 467-477 (1998) - [j6]Ethem Alpaydin:
Engineering of Intelligent Systems EIS'98 (February 11-13, 1998). Robotica 16(6): 699 (1998) - [d2]Ethem Alpaydin, Fevzi Alimoglu:
Pen-Based Recognition of Handwritten Digits. UCI Machine Learning Repository, 1998
- [d1]Ethem Alpaydin, Cenk Kaynak:
Optical Recognition of Handwritten Digits. UCI Machine Learning Repository, 1998 - 1997
- [j5]Ethem Alpaydin:
Voting over Multiple Condensed Nearest Neighbors. Artif. Intell. Rev. 11(1-5): 115-132 (1997) - [c7]Fevzi Alimoglu, Ethem Alpaydin:
Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio. ICDAR 1997: 637-640 - [c6]Lale Akarun, Dogan Özdemir, Ethem Alpaydin:
Fuzzy error diffusion of color images. ICIP (3) 1997: 46-49 - [c5]Ismet Bayraktaroglu, Arif Selçuk Ögrenci, Günhan Dündar, Sina Balkir, Ethem Alpaydin:
ANNSyS (an analog neural network synthesis system). ICNN 1997: 910-915 - 1996
- [j4]Ethem Alpaydin, Michael I. Jordan:
Local linear perceptrons for classification. IEEE Trans. Neural Networks 7(3): 788-794 (1996) - 1995
- [j3]Ethem Alpaydin, Fikret S. Gürgen:
Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech Classification. Neural Comput. Appl. 3(1): 38-49 (1995) - [c4]Ethem Alpaydin:
Selective Attention for Handwritten Digit Recognition. NIPS 1995: 771-777 - 1994
- [j2]Ethem Alpaydin:
GAL: Networks That Grow When They Learn and Shrink When They Forget. Int. J. Pattern Recognit. Artif. Intell. 8(1): 391-414 (1994) - [j1]Fikret S. Gürgen, R. Alpaydin, U. Ünlüakin, Ethem Alpaydin:
Distributed and local neural classifiers for phoneme recognition. Pattern Recognit. Lett. 15(10): 1111-1118 (1994) - 1993
- [c3]Ethem Alpaydin:
Multiple networks for function learning. ICNN 1993: 9-14 - 1992
- [c2]Ethem Alpaydin:
Multiple neural networks and weighted voting. ICPR (2) 1992: 29-32
1980 – 1989
- 1989
- [c1]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: 329-332
Coauthor Index
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