Ethem ALPAYDIN

Former Professor
Department of Computer Engineering
Bogazici University

Member of The Science Academy, Turkey

ethem.alpaydin AT gmail DOT com

New web page

Google Scholar, Semantic Scholar, DBLP, MS Academic Search, ACM Digital Library, Academia.edu, ResearchGate, LinkedIn.

Publications, Talks, Other Writing, Courses, Short Biography, Details

Machine Learning: The New AI

The MIT Press, September 2016

ISBN: 978-0-262-52951-8

Japanese, Russian, Korean Editions available

Introduction to Machine Learning, 3e

The MIT Press, September 2014

ISBN: 978-0-262-02818-9

Chinese language edition (3e)

Translated by Ming Fan

Machinery Industry Press, January 2016

ISBN: 978-7-111-52194-5

Introduction to Machine Learning, 2e

The MIT Press, February 2010

ISBN-10: 0-262-01243-X
ISBN-13: 978-0-262-01243-0

Turkish language edition, translated by the author

Bogazici Universitesi Yayinevi, April 2011

ISBN: 978-6-054-23849-1

机器学习导论(原书第2版)

Chinese language edition, translated by Ming Fan

Machinery Industry Press, April 2014

ISBN: 978-7-111-45377-2

Introduction to Machine Learning

The MIT Press, October 2004

ISBN-10: 0-262-01211-1
ISBN-13: 978-0-262-01211-9 2010

Maschinelles Lernen

German language edition, translated by Simone Linke

Oldenbourg Verlag, May 2008

ISBN-13: 978-3-486-58114-0

Description: Description: Description: Description: [IMG]

机器学习导论

Chinese language edition, translated by Ming Fan

Huazhang Press, June 2009

ISBN-13: 978-7-111-26524-5

Publications

O. Irsoy, E. Alpaydin (2018) "Dropout Regularization in Hierarchical Mixture of Experts," ArXiv:1812.10158.
A. Ahmetoglu, O. Irsoy, E. Alpaydin (2018) "Convolutional Soft Decision Trees," ICANN 2018.
E. Alpaydin (2018) "Classifying Multimodal Data," The Handbook of Multimodal-Multisensor Interfaces, 49-69.
E. Emekligil, E. Alpaydin (2018) "What's In A Game? The Effect of Game Complexity on Deep Reinforcement Learning," Computer Games Workshop IJCAI 2018.
O. Irsoy, E. Alpaydin (2018) "Continuously Constructive Deep Neural Networks," ArXiv:1804.02491.
O. Irsoy, E. Alpaydin (2017) "Unsupervised Feature Extraction with Autoencoder Trees," Neurocomputing, 258, 63-73.
O. T. Yildiz, O. Irsoy, E. Alpaydin (2016) "Bagging Soft Decision Trees," Machine Learning for Health Informatics, A. Holzinger (Ed.), Springer LNAI 9605, 25-36.
C. Zor, B. Yanikoglu, E. Merdivan, T. Windeatt, J. Kittler, E. Alpaydin (2016) "Beam ECOC: A Local Search for the Optimization of the ECOC Matrix,"ICPR 2016, Cancun, Mexico.
O. Irsoy, E. Alpaydin (2015) "Autoencoder Trees," ACML 2015, Hong Kong, China.
E. Alpaydin, V. Cheplygina, M. Loog, D.M.J. Tax (2015) "Single- vs. Multiple-Instance Classification," Pattern Recognition, 48(9), 2831-2838.
O. T. Yildiz, E. Alpaydin (2014) " Multivariate Comparison of Classification Algorithms," ArXiv:1409.4566.
O. Irsoy, O. T. Yildiz, E. Alpaydin (2014) " Budding Trees," ICPR 22, Stockholm, Sweden.
O. T. Yildiz, E. Alpaydin (2013) " Regularizing Soft Decision Trees," ISCIS 28, Paris, France.
M. Semerci, E. Alpaydin (2013) " Mixtures of Large Margin Nearest Neighbor Classifiers," ECML 2013, Prague, Czech Republic.
M. Gonen, E. Alpaydin (2013) " Localized Algorithms for Multiple Kernel Learning," Pattern Recognition, 46, 795-807.
E. Dikici, M. Semerci, M. Saraclar, E. Alpaydin (2013) " Classification and Ranking Approaches to Discriminative Language Modeling for ASR," IEEE Transactions on Audio, Speech, and Language Processing, 21(2), 291-300.
O. Irsoy, O. T. Yildiz, E. Alpaydin (2012) "Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies," IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(6), 1663-1675.
O. Irsoy, O. T. Yildiz, E. Alpaydin (2012) "Soft Decision Trees," ICPR 21, Tsukuba, Japan.
O. T. Yildiz, E. Alpaydin (2012) " Statistical Tests using Hinge/Epsilon-Sensitive Loss," ISCIS 27, Paris, France.
A. Ulas, O. T. Yildiz, E. Alpaydin (2012) " Eigenclassifiers for Combining Correlated Classifiers" Information Sciences, 187, 109-120.
A. Ulas, O. T. Yildiz, E. Alpaydin (2012) " Cost-Conscious Comparison of Supervised Learning Algorithms over Multiple Data Sets, " Pattern Recognition, 45(4), 1772-1781.
M. Gonen, E. Alpaydin (2011) " Multiple Kernel Learning Algorithms," Journal of Machine Learning Research, 12, 2211-2268.
E. Alpaydin (2011) " Machine Learning," Wiley Interdisciplinary Reviews: Computational Statistics, 3(3), 195-203.
O. T. Yildiz, O. Aslan, E. Alpaydin (2011) " Multivariate Statistical Tests for Comparing Classification Algorithms,", Learning and Intelligent OptimizatioN (LION) conference, C.A.Coello Coello (Ed.), LNCS 6683, 1-15, Springer.
O. Kursun, E. Alpaydin, O. Favorov (2011) " Canonical Correlation Analysis using Within-Class Coupling," Pattern Recognition Letters, 32, 134-144.
M. Gonen, E. Alpaydin (2011) " Regularizing Multiple Kernel Learning using Response Surface Methodology," Pattern Recognition, 44, 159-171.
C. Zor, B. Yanikoglu, T. Windeatt, E. Alpaydin (2010) " FLIP-ECOC: a greedy optimization of the ECOC matrix," 25th International Symposium on Computer and Information Sciences (ISCIS 2010), London, UK.
M. Gonen, E. Alpaydin (2010) " Localized Multiple Kernel Regression," ICPR 2010, Istanbul.
O. Kursun, E. Alpaydin (2010) " Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction," ICAISC 2010, Zakopane, Poland, LNAI 6113, Springer.
M. Gönen, E. Alpaydin (2010) " Supervised Learning of Local Projection Kernels," Neurocomputing, 73 (10-12), 1694-1703.
M. Gönen, E. Alpaydin (2010) " Cost-Conscious Multiple Kernel Learning," Pattern Recognition Letters, 31(9), 959-965.
A.Ulas, M. Semerci, O. T. Yildiz, E. Alpaydin (2009) " Incremental Construction of Classifier and Discriminant Ensembles," Information Sciences, 179(9), 1298-1318.
A.Ozen, M. Gonen, E. Alpaydin, T. Haliloglu (2009) " Machine Learning Integration for Predicting the Effect of Single Amino Acid Substitutions on Protein Stability," BMC Structural Biology, 9(66).
M. Gonen, E. Alpaydin (2009) " Multiple Kernel Machines Using Localized Kernels," Pattern Recognition in Bioinformatics (PRIB’09), Sheffield, England, September.
O. Aran, O. T. Yildiz, E. Alpaydin (2009) " An Incremental Framework Based on Cross-Validation for Estimating the Architecture of a Multilayer Perceptron," International Journal of Pattern Recognition and Artificial Intelligence, 23(2), 159-190.
M. Gonen, E. Alpaydin (2008) " Localized Multiple Kernel Learning," ICML08, Helsinki, Finland, July, 352-359.
M. Gonen, A. G. Tanugur, E. Alpaydin (2008) " Multiclass Posterior Probability Support Vector Machines," IEEE Transactions on Neural Networks, 19(1), 130-139.
B. Gokberk, M. O. Irfanoglu, L. Akarun, E. Alpaydin (2007) " Learning the Best Subset of Local Features for Face Recognition," Pattern Recognition, 40(5), 1520-1532.
O. T. Yildiz, E. Alpaydin (2006) " Ordering and Finding the Best of K>2 Supervised Learning Algorithms," IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(3), 392-402.
C. Demir, E. Alpaydin (2005) " Cost-Conscious Classifier Ensembles," Pattern Recognition Letters, 26(14), 2206-2214.
O. T. Yildiz, E. Alpaydin (2005) " Model Selection in Omnivariate Decision Trees," ECML'05, Porto Portugal, October 2005.
O. T. Yildiz, E. Alpaydin (2005) " Linear Discriminant Trees," International Journal of Pattern Recognition and Artificial Intelligence, 19(3), 323-353.
A. A. Salah, E. Alpaydin (2004) " Incremental Mixtures of Factor Analyzers," ICPR04, Cambridge UK, August 2004.
B. Gokberk, M. O. Irfanoglu, L. Akarun, E. Alpaydin (2003) " Selection of Location, Frequency, and Orientation Parameters of 2D Gabor Wavelets for Face Recognition," Summer School on Biometrics, Italy, June 2003.
O. Aran, E. Alpaydin (2003) " An Incremental Neural Network Construction Algorithm for Training Multilayer Perceptrons," ICANN'03, Istanbul, June 2003.
Z. Barutcuoglu, E. Alpaydin (2003) " A Comparison of Model Aggregation Methods for Regression," ICANN'03, Istanbul, June 2003.
A. Baraldi, E. Alpaydin (2002) " Constructive Feedforward ART Clustering Network - Part I," IEEE Transactions on Neural Networks, 13(3), 645-661.
A. Baraldi, E. Alpaydin (2002) " Constructive Feedforward ART Clustering Network - Part II," IEEE Transactions on Neural Networks, 13(3), 662-677.
A. A. Salah, E. Alpaydin, L. Akarun (2002) " A Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3), 420-425 (Correct Fig 1).
O. T. Yildiz, E. Alpaydin (2001) " Omnivariate Decision Trees," IEEE Transactions on Neural Networks, 12(6), 1539-1546.
F. Alimoglu, E. Alpaydin (2001) " Combining Multiple Representations for Pen-based Handwritten Digit Recognition," ELEKTRIK: Turkish Journal of Electrical Engineering and Computer Sciences, 9(1), 1-12.
F. Koksal, E. Alpaydin, G. Dundar (2001) " Weight Quantization for Multilayer Perceptrons using Soft Weight Sharing," ICANN'01, Vienna, Austria, August 2001.
A. A. Salah, E. Alpaydin, L. Akarun (2001) " A Selective Attention Based Method for Visual Pattern Recognition," 23rd Annual Conference of the Cognitive Science Society, Edinburgh, Scotland, August 2001.
E. Alpaydin (2001) " Assessing and Comparing Classification Algorithms," ISAS2001, Havana, Cuba, March 2001.
E. Alpaydin, C. Kaynak, F. Alimoglu (2000) " Cascading Multiple Classifiers and Representations for Optical and Pen-Based Handwritten Digit Recognition," IWFHR, Amsterdam, The Netherlands, September 2000.
C. Kaynak, E. Alpaydin (2000) " MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data," ICML2K, Stanford Univ, USA, June 2000.
O. T. Yildiz, E. Alpaydin (2000) " Linear Discriminant Trees, ICML2K, Stanford Univ, USA, June 2000.
E. Alpaydin (1999) " Combined 5x2cv F Test for Comparing Supervised Classification Learning Algorithms," Neural Computation, 11(8), 1885-1892.
I. Bayraktaroglu, A. S. Ogrenci, G. Dundar, S. Balkir, E. Alpaydin (1999) " ANNSyS: An Analog Neural Network Synthesis System," Neural Networks, 12(2), 325-338.
E. Alpaydin, Ed. (1999) Special Issue on Engineering of Intelligent Systems, Artificial Intelligence in Engineering, " Guest Editorial," 13(4).
E. Alpaydin, E. Mayoraz (1999) " Learning Error-Correcting Output Codes from Data," ICANN'99, Edinburgh, UK, September 1999.
E. Mayoraz, E. Alpaydin (1999) " Support Vector Machines for Multi-Class Classification," IWANN'99, Alicante, Spain, June 1999.
E. Alpaydin, C. Kaynak (1998) " Cascading Classifiers," Kybernetika, 34(4), 369-374.
E. Alpaydin (1998) " Soft Vector Quantization and the EM Algorithm," Neural Networks, 11(3), 467-477.
E. Alpaydin (1998) " Techniques for Combining Multiple Learners, Engineering of Intelligent Systems EIS'98, Teneriffe, Spain, February 1998.
E. Alpaydin, F. Gürgen (1998) " Comparison of Statistical and Neural Classifiers and Their Applications to Optical Character Recognition and Speech Classification," Neural Network Systems Techniques and Applications, vol 5, Image Processing and Pattern Recognition, C.T. Leondes (Ed.) Academic Press, 61-88.
E. Alpaydin (1997) " Voting over Multiple Condensed Nearest Neighbors," Artificial Intelligence Review, 11, 115-132.
F. Alimoglu, E. Alpaydin (1997) " Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognition," Fourth International Conference on Document Analysis and Recognition (ICDAR 97), Ulm, Germany, August 1997.
E. Alpaydin, I. K. Altinel, N. Aras (1996) " Parametric Distance Functions vs Nonparametric Neural Networks for Estimating Road Travel Distances," European Journal on Operational Research , 93(2), 230-243.
E. Alpaydin, M. I. Jordan (1996) " Local Linear Perceptrons for Classification," IEEE Transactions on Neural Networks, 7(3), 788-792.
E. Alpaydin (1996) " Selective Attention for Handwritten Digit Recognition," Advances in Neural Information Processing Systems 8, D.S. Touretzky, M.C. Mozer, M.E. Hasselmo (Eds.) MIT Press, 771-777.
E. Alpaydin, F. Gurgen (1995) " Comparison of Kernel Estimators, Perceptrons, and Radial-Basis Functions for OCR and Speech Classification," Neural Computing and Applications, 3, 38-49.
F. Gurgen, R. Alpaydin, U. Unluakin, E. Alpaydin (1994) " Distributed and Local Neural Classifiers for Phoneme Recognition," Pattern Recognition Letters, 15, 1111-1118.
E. Alpaydin, S. Aratma, M. Yagci (1994) " Recognition of Handwritten Digits using Neural Networks," ELEKTRIK: Turkish Journal of Electrical Engineering and Computer Sciences, 2, 20-31.
E. Alpaydin (1994) " GAL: Networks that Grow when they Learn and Shrink when they Forget," International Journal of Pattern Recognition and Artificial Intelligence 8, 391-414.
E. Alpaydin (1993) " Multiple Networks for Function Learning," IEEE International Conference on Neural Networks, pp. I: 9--14, March, San Francisco CA USA.
E. Alpaydin (1992) " Multiple Neural Networks and Weighted Voting," 11th IAPR International Conference on Pattern Recognition, pp. 29--32, August, The Hague The Netherlands.

Talks/Tutorials

E. Alpaydin (2012) " Combining Features, Kernels and Algorithms," Oporto Meeting on Mathematics for Industry,Porto, Portugal.
E. Alpaydin (2010) " Design and Analysis of Machine Learning Experiments" Tutorial, AERFAISS 2010, Benicassim, Spain (Matlab codes).
E. Alpaydin (2009) " Siniflandiricilarda Hata Olculmesi ve Karsilastirilmasi için Istatistiksel Yöntemler," SIU 2009 Egitim Semineri (in Turkish)

Other Writing (in Turkish)

E. Alpaydin (2011) " Sanki Yapay Zeka Gercek Oluyor" Bilisim Dergisi Sayi 133, Haziran 2011.
E. Alpaydin (2010) " Yapay Edebiyat" Bilisim Dergisi Sayi 121, Mayis 2010.
E. Alpaydin (2002) " Zeka Taklit Edilebilir Mi?" Hayalet Gemi, Sayi 65, Mart 2002.
E. Alpaydin (2000) " Zeki Veri Madenciligi," Bilisim 2000 Egitim Semineri, (Sunus).

Courses

Short Biography

Ethem ALPAYDIN received his BSc from Department of Computer Engineering of Bogazici University in 1987 and the degree of Docteur es Sciences from Ecole Polytechnique Federale de Lausanne in 1990. He did his postdoctoral work at the International Computer Science Institute, Berkeley in 1991 and afterwards was appointed Assistant Professor at the Department of Computer Engineering of Bogazici University. He was appointed Associate Professor in 1996 and Professor in 2002 in the same department. He took early retirement in January 2019.

As visiting researcher, he worked at Department of Brain and Cognitive Sciences, MIT in 1994, International Computer Science Institute, Berkeley in 1997, IDIAP, Switzerland in 1998, and TU Delft in 2014.

He was Fulbright Senior Scholar in 1997/1998 and received the Research Excellence Award from the Bogazici University Foundation in 1998 (junior faculty) and 2008 (senior faculty), the Young Scientist Award from the Turkish Academy of Sciences in 2001 and the Scientific Encouragement Award from the Turkish Scientific and Technical Research Council in 2002.

His book Introduction to Machine Learning was published by The MIT Press in October 2004; its German edition was published by Oldenbourg Verlag in May 2008, and Chinese edition was published by Huazhang Press in June 2009. Introduction to Machine Learning, second edition was published by The MIT Press in February 2010; its Turkish edition was published by Bogazici University Press in April 2011 and Chinese edition was published by Huazhang Press in June 2014. Introduction to Machine Learning, third edition was published by The MIT Press in August 2014. Machine Learning: The New AI was published by The MIT Press as part of the Essential Knowledge Series in September 2016; Japanese, Russian and Korean editions are available.

He was an Editorial Board Member of The Computer Journal (Oxford University Press) in 2008-2014, and Pattern Recognition (Elsevier) in 2014-2018. He is a Member of The Science Academy, Turkey and a Senior Member of the IEEE.

Contact

Email ethem.alpaydin AT gmail DOT com