CURRICULUM VITAE

Prof. Dr. Cagdas Hakan Aladag

 

Work Address   : Hacettepe University, Faculty of Science, Department of Statistics,

  Beytepe 06800, Ankara, Turkey

Phone                 : +90 312 2977900 (Office: 115)

Web page           : http://yunus.hacettepe.edu.tr/~aladag/

Email                  : aladag@hacettepe.edu.tr, chaladag@gmail.com

ACADEMIC DEGREES

 

Ph.D.   : Department of Statistics, 2009, Hacettepe University, Ankara, Turkey

Dissertation title: Using tabu search algorithm in the selection of architecture for artificial neural networks.

M.Sc.   : Department of Statistics, 2004, Hacettepe University, Ankara, Turkey

Dissertation title: Solving a course timetabling problem by using tabu search algorithm.

BS        : Department of Statistics, 2001, Hacettepe University, Ankara, Turkey

WORK EXPERIENCE

 

April 2020 –

Professor

Operational Research Section, Department of Statistics, Faculty of Science, Hacettepe University, Ankara, Turkey

Nov 2014 – Nov 2015

Visiting Scholar

Knowledge/Intelligence Systems Laboratory, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada

Sep 2012 –

Associate Professor

Operational Research Section, Department of Statistics, Faculty of Science, Hacettepe University, Ankara, Turkey

July 2009 – Sep 2012

Lecturer, Ph.D.

Operational Research Section, Department of Statistics, Faculty of Science, Hacettepe University, Ankara, Turkey

Nov 2001 – July 2009

Research Assistant

Operational Research Section, Department of Statistics, Faculty of Science, Hacettepe University, Ankara, Turkey

 

ACADEMIC AREAS OF INTEREST

 

·         Advanced Statistical Methods

·         Time Series Forecasting

·         Artificial Neural Networks

·         Machine Learning

·         Fuzzy Time Series

·         Data Science

·         Heuristic Algorithms

·         Artificial Intelligence Optimization Algorithms

 

TEACHING

COURSES

 

·         Soft Computing Methods (IST 551 - Graduate)

·         Integer Programming (IST 530 - Graduate)

·         Intelligent Optimization Techniques (IST 340 - Undergraduate)

·         Quality Planning and Control (END 471 - Undergraduate)

·         Data Science (IST 430 - Undergraduate)

·         Engineering Economics (END 320 - Undergraduate)

·         Introduction to Operations Research (IST 267 - Undergraduate)

·         Statistics (IST 184 - Undergraduate)

·         Introduction to Computer Programming (IST 167 - Undergraduate)

·         Advanced Statistics Project I (IST 491 - Undergraduate)

·         Advanced Statistics Project II (IST 492 - Undergraduate)

GRADUATE STUDENT SUPERVISION

 

Ph.D. students

 

Yasemin Burcu Açıl, Hacettepe University, (graduated in 2018)

Hilal Güney, (co-advisor), Gazi University, (graduated in 2016)

 

M.Sc. students

 

Zeynep Kaman, Hacettepe University, (graduated in 2018)

Merve Baran, Hacettepe University, (graduated in 2018)

Ilgım Kitapçı, Hacettepe University, (graduated in 2014)

Mertcan Alaybeyoğlu, Hacettepe University, (2016-present)

 

Thesis juries served

 

Berhan Çoban, Ph.D., Dokuz Eylül University, (graduated in 2018)

Cagatay Bal, M.Sc., Mugla Sitki Kocman University, (graduated in 2017)

Olcay Ulucan, M.Sc., Afyon Kocatepe University, (graduated in 2017)

Nurbanu Bursa, M.Sc., Hacettepe University, (graduated in 2013)

Derya Turfan, M.Sc., Hacettepe University, (graduated in 2013)

Çiğdem Topçu, Ph.D., Ankara University, (graduated in 2012)

Yaprak Aslan, M.Sc., Ondokuz Mayis University, (graduated in 2012)

İrem Değirmenci, M.Sc., Hacettepe University, (graduated in 2011)

Gülay Doğan, M.Sc., Hacettepe University, (graduated in 2010)

Nazlı Sarıaslan, M.Sc., METU, (graduated in 2010)

 

 

REFEREES

 

·         African Journal of Agricultural Research

·         Anadolu University Journal of Science and Technology

·         Applied Mathematical Modelling

·         Applied Mathematics Letters

·         Applied Soft Computing

·         Computers and Mathematics with Applications

·         Computers and Operations Research

·         Decision Support Systems

·         Industry Engineering Journal (UCTEA)

·         Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi

·         European Journal of Operational Research

·         Expert Systems with Applications

·         Fuzzy Sets and Systems

·         Gazi University Journal of Science

·         IEEE Systems, Man and Cybernetics - Part B

·         IEEE Transactions on Fuzzy Systems

·         IEEE Transactions on Neural Networks and Learning Systems

·         Information Science

·         Information Technology Research Journal

·         International Journal of Artificial Intelligence and Soft Computing

·         International Journal of Approximate Reasoning

·         International Journal of Forecasting

·         International Journal of Fuzzy Systems

·         International Journal of Industrial & Systems Engineering

·         International Journal of Information Technology & Decision Making

·         International Journal of Machine Learning and Cybernetics

·         International Journal of Production Economics

·         Iranian Journal of Fuzzy Systems

·         Journal of BRSA Banking and Financial Markets

·         Journal of Computational and Applied Mathematics

·         Journal of Computer and System Sciences

·         Journal of Engineering and Technology Research

·         Journal of Intelligent and Fuzzy Systems

·         Journal of Probability and Statistics

·         Journal of Statisticians

·         Journal of Yasar University

·         Meteorological Applications

·         Neural Computing & Applications

·         Neural Networks

·         Neurocomputing

·         Proceedings of the royal society A

·         Scientia Iranica

·         Scientific Research and Essays

·         Soft Computing

·         Strojniški vestnik - Journal of Mechanical Engineering

·         Swarm and Evolutionary Computation

·         Tourism Management

·         Turkish Journal of Fuzzy Systems

·         Doğuş University Journal

·         Sosyoekonomi Journal

·         1st National Insurance and Actuarial Conference Abstracts (2013)

·         IV. Statistics Conference Proceedings Book (2008)

·         The 2015 International Conference on Fuzzy System and Data Mining (2015)

PROJECTS

 

[2]    A novel fuzzy time series forecasting approach based on particle swarm optimization and artificial neural networks, supported by The Scientific and Technological Research Council of Turkey (TUBITAK, 1002 – Short Term R&D Funding Programme), Role: Investigator (Starting date: May 2011 – Finishing date: May 2012).

 

[1]    A new algorithm to forecast seasonal fuzzy time series, supported by BAP Ondokuz Mayis University (1001 – Research Project), Role: Investigator (Starting date: March 2011 Finishing date: March 2012).

AWARDS

 

[1]    Hacettepe University Incentive in Science Certificate of 2010-2011 academic year.

 

[2]    Bronze Research Award, 3rd International Congress of Tourism and Management Researches, Antalya, Turkey, May 20-22, 2016. “Alptekin, B., Aladag, C.H., Analysis of Turkey tourism data with artificial neural networks”.

PROFESSIONAL ASSOCIATION ACTIVITIES

Date

Association

Capacity

2007 –

Hacettepe University Traffic and Road Safety Training and Research Center

Board of Directors

2011 – 2016

Fuzzy Systems Association

Secretary of General

2011

The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey

Member of Executive Committee

2012 –

International Journal of Scientific and Statistical Computing

Editorial Board

2012

The 6th International Conference on Applied Statistics, Bucharest, Romania

Member of International Scientific Committee

2012 – 2014

The Turkish Statistical Association

Board of Directors

2012 – 2018

Gazi University Journal of Science

Editorial Board

2012 – 2014

Hacettepe University Statistical Society

Supervisor

2013 – 2014

Hacettepe University Life Long Learning Center

Vice Manager

2013

International Conference on Dilemmas of contemporary public administration, Warsaw, Poland

Member of International Scientific Committee

2013 –

The Scientific World Journal; Operational Research part

Editorial Board

2013 – 2015

International Journal of Molecular Biology and Biochemistry

Editorial Board

2013

1th Young Statistician Symposium

Member of Executive and of Scientific Committees

2013

1th Researchers and Statistician Congress

Member of Executive and of Scientific Committees

2013

The 7th International Conference on Applied Statistics, Bucharest, Romania

Member of International Scientific Committee

2013

8th Bi-Annual Statistics Congress

Member of Organizing Committee

2013

The Third International Fuzzy Systems Symposium, Istanbul Kültür University, Istanbul, Turkey

Member of Organizing Committee

2013 –

Aloy Journal of Soft Computing and Applications

Editorial Board

2013 –

Journal of Computer Science

Editorial Board

2014

1th Traffic  Research Student Colloquium

Member of Scientific Committee

2014

International Work-Conference on Time Series (ITISE 2014), Granada, Spain

Member of Program Committee

2014

11th International Statistics Student Colloquium

Member of Advisory Committee

2014

3rd Scientific International Conference Safety of The Information – Challenges for Economics and Public Administration, Warsaw, Poland

Member of Scientific Committee

2014

Turkish Journal of Fuzzy Systems, Special Issue on Fuzzy Systems in Statistics

Special Issue Editor

2014

EC Computer Science journal

Editorial Board

2015

The Fourth International Fuzzy Systems Symposium, Yildiz Technical University, Istanbul, Turkey

Member of Executive Committee

2015

International  9th  Statistics Congress, Antalya, Turkey

Member of Organizing Committee

2015

International Work-Conference on Time Series (ITISE 2015), Granada, Spain

Member of Program Committee

2015 – 2016

Oriental Journal Of Computer Science and Technology

Editorial Board

2015

American Journal of Computer Network Security

Editorial Board

2015

International Journal of New Economics and Social Sciences

Editorial Board

2015 –

Turkish Journal of Fuzzy Systems

Editor in Chief

2016

10th International Statistics Days Conference, Giresun, Turkey

Member of Executive Committee

2016 – 2018

Hacettepe University Scientific Research Projects Coordination Unit

Member of Subcommittee of Science and Engineering

2016 –

Hacettepe University Life Long Learning Center

Board of Directors

2016 – 2018

Fuzzy Systems Association

Vice President

2017

The 2017 International Conference on Economic Development and Enterprise Innovation (EDEI2017), Nanjing, China

Member of Technical Program Committee

2017

The 2017 International Conference on Computing Intelligence and Information System (CIIS2017), Nanjing, China

Member of Technical Program Committee

2017

The International work-conference on Time Series (ITISE 2017), Granada, Spain

Member of Technical Program Committee

2017

The 5th International Fuzzy Systems Symposium (FUZZYSS'17), Ankara, Turkey

Organizing Committee Chair

2017

Hacettepe Journal of Mathematics and Statistics

Editor

2018

4th International Researchers, Statisticians and Young Statisticians Congress, Izmir, Turkey

Member of Scientific Committee

2018

11. International Statistics Days Conference, Mugla, Turkey

Member of Scientific Committee

2019

5th International Researchers, Statisticians and Young Statisticians Congress, Kuşadası, Turkey

Member of Scientific Committee

2019

6th International conference on Time Series and Forecasting (ITISE 2019), September 25-27, Granada, Spain

Member of Technical Program Committee

2019

The International Conference on Data Science, Machine Learning and Statistics 2019 (DMS-2019), Van, Turkey

Organizing Committee Chair

2019

Oriental Journal of Computer Science and Technology

Associate Editor

2021

International Conference on Robotics and Artificial Intelligence,08-March 08-09 2021, Osaka, Japan

Organizing Committee Member

PROFESSIONAL MEMBERSHIPS

 

European Neural Network Society (2016)

Fuzzy Systems Association (2011)

Operational Research Society (2006)

The International Institute of Forecasters (2010)

The Turkish Statistical Association (2007)

Citations:

The number of total citations is 1385 (Scopus)

Sum of times cited without self-citations is 955 (Web of Science)

h-index = 22 (Scopus)

h-index = 20 (Web of Science)

 

 

PUBLICATIONS

Books:

 

[7]   Celik, H.E., Aladag, C.H., Editors, (2019) Data Science, Machine, Learning and Statistics-2019 Proceeding Book, Faculty of Economics and Administrative Sciences, Van Yuzuncu Yil University, Van, Turkey.

[6]   Aladag, C.H., Editor, (2017) Advances in Time Series Forecasting, Volume 2, Bentham Science Publishers Ltd., eISBN: 978-1-68108-528-9, ISBN: 978-1-68108-529-6.

[5]   Aladag, C.H., Alptekin, D., Alptekin, B., Editors, (2017) The Fifth International Fuzzy Systems Symposium (FUZZYSS'17) Proceedings. FUZZYSS'11, TOBB University of Economics and Technology, Ankara, Turkey, October 14-15, 2017.

[4]   Aladag, C.H., Egrioglu, E., Editors, (2012) Advances in Time Series Forecasting, Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5. (http://www.benthamscience.com/ebooks/9781608053735/index.htm)

[3]   Gokceoglu, C., Aladag, C.H., Akgun, A., Editors, (2011) The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings. FUZZYSS'11, Hacettepe University, Ankara, Turkey, November 17-18, 2011.

[2]   Aladag, C.H. (2010) Introduction to Integer Programming, Ekin Press Ltd. (ISBN 978-605-4301-79-9) (in Turkish)

[1]   Günay, S., Egrioglu, E., Aladag, C.H. (2007) Introduction to single variable time series analysis, Hacettepe University Press. (ISBN 978-975-491-242-5) (in Turkish)

Chapters in Books:

[22] Aladag, C.H., Turksen, I.B. (2017), Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure, Advances in Time Series Forecasting: Volume 2, Editor: Aladag, C.H., pp. 1-23. Bentham Science Publishers Ltd., eISBN: 978-1-68108-528-9, ISBN: 978-1-68108-529-6.

 

[21] Aladag, C.H., Guney, H. (2017), Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix, Advances in Time Series Forecasting: Volume 2, Editor: Aladag, C.H., pp. 111-126. Bentham Science Publishers Ltd., eISBN: 978-1-68108-528-9, ISBN: 978-1-68108-529-6.

 

[20] Egrioglu, E., Aladag, C.H., Ufuk, Y., Bas, E., Dalar, A.Z. (2017), A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting, Advances in Time Series Forecasting: Volume 2, Editor: Aladag, C.H., pp. 76-92. Bentham Science Publishers Ltd., eISBN: 978-1-68108-528-9, ISBN: 978-1-68108-529-6.

 

[19] Dalar, A.Z., Egrioglu, E., Ufuk, Y., Aladag, C.H., (2017), Fuzzy Functions Approach for Time Series Forecasting, Advances in Time Series Forecasting: Volume 2, Editor: Aladag, C.H., pp. 144-155. Bentham Science Publishers Ltd., eISBN: 978-1-68108-528-9, ISBN: 978-1-68108-529-6.

 

[18] Aladag, C.H. (2014), Using Artificial Neural Networks in Fuzzy Time Series Analysis, L.A. Zadeh et al. (eds.), Recent Developments and New Directions in Soft Computing, Studies in Fuzziness and Soft Computing 317, pp. 443-451, DOI: 10.1007/978-3-319-06323-2_28, ISBN: 978-3-319-06322-5, Springer International Publishing, Switzerland.

 

[17] Aladag, C.H. (2011), A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms, (Editor: Elisabeth C. Salander), pp. 89-100, Nova Publisher. ISBN: 978-1-61209-043-6.

 

[16] Aladag, C.H. (2011), A New Candidate List Strategy for Architecture Selection in Artificial Neural Networks, New Developments in Artificial Neural Networks Research, (Editor: Robert W. Nelson), pp. 139-150, Nova Publisher. ISBN: 978-1-61324-286-5.

 

[15] Egrioglu, E., Aladag, C.H., Kadilar, C. (2011), Nonlinear Forecasting with a Hybrid Approach Combining SARIMA, ARCH and ANN, New Developments in Artificial Neural Networks Research, (Editor: Robert W. Nelson), pp. 221-228, Nova Publisher. ISBN: 978-1-61324-286-5.

 

[14] Egrioglu, E., Uslu, V.R., Ufuk, Y., Basaran, M.A., Aladag, C.H. (2009), A new approach based on artificial neural networks for high order bivariate fuzzy time series, Applications of soft computing: from theory to praxis, Book series: Advances in Intelligent and Soft Computing Vol. 58, pp. 265-273, Mehnen, J., Köppen, M., Saad, A., Tiwari, A. (Eds.), (ISBN: 978-3-540-89618-0). (Science Citation Index)

[13] Aladag, C.H., Egrioglu, E. (2012), Advanced time series forecasting methods, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 3-10. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[12] Egrioglu, E., Aladag, C.H. and Yolcu, U. (2012), Comparison of feed forward and Elman neural networks forecasting ability: case study for IMKB, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 11-17. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[11] Egrioglu, E., Aladag, C.H. and Yolcu, U. (2012), Comparison of architecture selection criteria in analyzing long memory time series, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 18-25. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[10] Aladag, C.H. and Al, S. (2012), Forecasting the number of outpatient visits using different activation functions, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 26-33. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[9]   Aladag, C.H. and Egrioglu, E. (2012), Adaptive weighted information criterion to determine the best architecture, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 34-39. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[8]   Basaran, A.A., Aladag, C.H., Bagdadioglu, N. and Gunay, S. (2012), Public expenditure forecast by using feed forward neural networks, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 40-47. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[7]   Egrioglu, E., Aladag, C.H. and Yolcu, U. (2012), A new method for forecasting fuzzy time series with triangular fuzzy number observations, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 48-55. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[6]   Egrioglu, E. and Aladag, C.H. (2012), The effect of the length of interval in fuzzy time series models on forecasting, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 64-77. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[5]   Aladag, C.H., Degirmenci, I. and Gunay, S. (2012), Determining interval length in fuzzy time series by using an entropy based approach, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 78-87. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[4]   Aladag, C.H. (2012), An architecture selection method based on tabu search, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 88-95. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[3]   Egrioglu, E., Aladag, C.H. and Yolcu, U. (2012), A hybrid forecasting approach combines SARIMA and fuzzy time series, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 96-107. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[2]   Aladag, C.H., Egrioglu, E., and Kadilar, C. (2012), Forecasting Turkey’s highest golden prices time series with forecast combination, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 108-117. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

[1]   Aladag, C.H. and Egrioglu, E. (2012), A hybrid forecasting model based on multivariate fuzzy time series and artificial neural networks, Advances in time series forecasting, (Editors: Aladag, C.H. and Egrioglu, E.), pp. 118-129. Bentham Science Publishers Ltd., eISBN: 978-1-60805-373-5.

Published original papers (Journals in SCI or SCI expanded):

 

[46] Acitas, S., Aladag, C.H., Senoglu, B. (2019) A New Approach for Estimating the Parameters of Weibull Distribution via Particle Swarm Optimization: An Application to the Strengths of Glass Fiber Data, Reliability Engineering and System Safety, Volume 183, pp 116-127.

[45] Unal, B., Aladag, C.H. (2019) Fuzzy Logic Based Bidding Strategies in Dynamic Double Auctions, Kybernetes, Volume 48, Issue 3, pp 612-635.

[44] Guney, H., Bakir, M.A., Aladag, C.H. (2018) A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model, International Journal of Fuzzy Systems, Volume 20, Issue 2, pp 729–740.

[43] Gundogdu, O., Egrioglu, E., Aladag, C.H., Yolcu, U. (2016) Multiplicative Neuron Model Artificial Neural Network Based on Gaussian Activation Function, Neural Computing and Applications, Volume 27, Issue 4, pp 927-935.

[42] Yolcu, O.C., Yolcu, U., Egrioglu, E., Aladag, C.H. (2016) High order fuzzy time series forecasting method based on an intersection operation, Applied Mathematical Modelling, Volume 40, Issues 19–20, pp 8750–8765.

[41] Aladag, C.H., Turksen, I.B. (2015) A novel membership value based performance measure, Journal of Intelligent and Fuzzy Systems, 28 (2), 919-928.

[40] Bas, E., Egrioglu, E., Aladag, C.H., Yolcu, U. (2015), Fuzzy-time-series network used to forecast linear and nonlinear time series, Applied Intelligence, September 2015, Volume 43, Issue 2, pp 343–355.

[39] Yolcu, U., Bas, E., Egrioglu, E., Aladag, C.H.  (2015), A new multilayer feedforward network model based on trimmed mean neuron model, Neural Network World, Volume 25 (2015), pp 587-602.  (DOI:10.14311/NNW.2015.25.029)

[38] Bas, E., Egrioglu, E., Yolcu, U., Aladag, C.H. (2015) Fuzzy time series network used to forecast linear and nonlinear time series. Applied Intelligence, 43 (2), 343-355.

[37] Egrioglu E., Aladag, C.H., Yolcu, U., Bas, E. (2015) Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting, Neural Processing Letters, 41 (2), 249-258.

[36] Egrioglu, E., Khashei, M., Aladag, C.H., Turksen, I.B. Yolcu, U. (2015) Advanced Time Series Forecasting Methods, Mathematical Problems in Engineering, Article Number: 918045, DOI: 10.1155/2015/918045.

[35] Aladag, C.H., Yolcu, U., Egrioglu, E., Eren, B. (2014) Fuzzy lagged variable selection in fuzzy time series with genetic algorithms, Applied Soft Computing, 22, 465-473.

[34] Yolcu, U., Cagcag, O., Aladag C.H., Egrioglu, E. (2014),  An enhanced fuzzy time series forecasting method based on artificial bee colony algorithm, Journal of Intelligent and Fuzzy Systems, 26 (6), 2627-2637.

[33] Aladag, C.H., Egrioglu, E., Yolcu, U. (2014), Robust multilayer neural network based on median neuron model, Neural Computing & Applications, 24, 945-956.

[32] Aladag, C.H., Egrioglu, E., Yolcu, U., Uslu, V.R. (2014), A high order seasonal fuzzy time series model and application to international tourism demand of Turkey, Journal of intelligent and fuzzy systems, 26 (1), 295–302.

[31] Aladag, C.H. (2013), Using multiplicative neuron model to establish fuzzy logic relationships, Expert Systems with Applications, 40 (3), 850-853.

[30] Egrioglu, E., Yolcu, U., Aladag, C.H., Kocak, C. (2013), An ARMA type fuzzy time series forecasting method based on particle swarm optimization, Mathematical Problems in Engineering, Volume 2013, Article ID 935815, http://dx.doi.org/10.1155/2013/935815.

[29] Yolcu, U., Egrioglu, E., Aladag, C.H. (2013), A new linear and nonlinear artificial neural network model for time series forecasting, Decision Support Systems, 54, 1340–1347.

[28] Aladag, C.H., Kayabasi, A., Gokceoglu, C. (2013), Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models, Neural Computing & Applications, Volume 23, Issue 2, 333-339.

[27] Aladag, C.H., Yolcu, U., Egrioglu, E. (2013), A new multiplicative seasonal neural network model based on particle swarm optimization, Neural Processing Letters, Volume 37, Issue 3, 251-262.

[26] Egrioglu, E., Aladag, C.H., Yolcu, U. (2013), Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks, Expert Systems with Applications, 40 (3), 854–857.

[25] Yolcu, U., Aladag, C.H., Egrioglu, E., Uslu, V.R. (2013), Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market, Journal of Statistical Computation and Simulation, 83 (4), 597-610.

[24] Aladag, C.H., Egrioglu, E., Yolcu, U., Dalar, A.Z. (2012), A new time invariant fuzzy time series forecasting method based on particle swarm optimization, Applied Soft Computing, 12 (10), 3291-3299.

[23] Aladag, C.H., Egrioglu, E., Yolcu, U. (2012), A simulation based approach to calculate the fuzzy correlation coefficient of fuzzy observations, Hacettepe Journal of Mathematics and Statistics, 41 (3), 361-364.

[22] Aladag, S., Aladag, C.H., Mentes, T., Egrioglu, E. (2012), A new seasonal fuzzy time series method based on multiplicative neuron model and SARIMA, Hacettepe Journal of Mathematics and Statistics, 41 (3), 337-345.

[21] Alpaslan, F. Cagcag, O., Aladag, C.H., Yolcu, U. Egrioglu, E. (2012), A novel seasonal fuzzy time series method, Hacettepe Journal of Mathematics and Statistics, 41 (3), 375-385.

[20] Aladag, C.H. (2011), A new architecture selection method based on tabu search for artificial neural networks, Expert Systems with Applications, 38, 3287–3293.

[19] Aladag, C.H., Koksoy, O. (2011), A tabu search meta-heuristic approach to the dual response systems problem, Expert Systems with Applications, 38 (12), 15370-15376.

[18] Egrioglu, E., Aladag, C.H., Yolcu, U., Uslu, V.R., Erilli, A. (2011), Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering, Expert Systems with Applications, 38, 10355–10357.

[17] Egrioglu, E., Aladag, C.H., Basaran, M.A., Yolcu, U., and Uslu, V.R. (2011), A new approach based on the optimization of the length of intervals in fuzzy time series, Journal of intelligent and fuzzy systems, 22, 15–19.

[16] Erilli, N.A., Yolcu, U., Egrioglu, E., Aladag, C.H., Oner, Y. (2011), Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks, Expert Systems with Applications, 38 (3), 2248-2252.

[15] Aladag, C.H., Yolcu, U., Egrioglu, E. (2010), A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks, Mathematics and Computers in Simulation, 81, 875–882.

[14] Aladag, C.H., Egrioglu, E., Yolcu, U., (2010), Forecast combination by using artificial neural networks, Neural Processing Letters, 32 (3), 269–276.

[13] Aladag, C.H., Egrioglu, E., Kadilar, C. (2010), Modeling brain wave data by using artificial neural networks, Hacettepe Journal of Mathematics and Statistics, 39 (1), 81–88.

[12] Egrioglu, E., Aladag, C.H., Yolcu, U, Uslu, V.R., Basaran M.A. (2010), Finding an optimal interval length in high order fuzzy time series, Expert Systems with Applications, 37, 5052–5055.

[11] Aladag, C.H., Egrioglu, E., Gunay, S., Basaran, M.A. (2010), Improving weighted information criterion by using optimization, Journal of Computational and Applied Mathematics, 233, 2683-2687.

[10] Aladag, C.H., Hocaoglu, G., Basaran, M.A. (2009), The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem, Expert Systems with Applications, 36, 12349–12356.

[9]   Aladag, C.H., Egrioglu, E., Kadilar, C. (2009), Forecasting nonlinear time series with a hybrid methodology, Applied Mathematics Letters, 22 (9), 1467-1470.

[8]   Egrioglu, E., Aladag, C.H., Yolcu, U, Uslu, V.R., Basaran M.A. (2009), A new approach based on artificial neural networks for high order multivariate fuzzy time series, Expert Systems with Applications, Volume 36, Issue 7, 10589-10594.

[7]   Aladag, C.H., Basaran, M.A., Egrioglu, E., Yolcu, U. and Uslu, V.R. (2009), Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations, Expert Systems with Applications, Volume 36, Issue 3, 4228–4231.

[6]   Yolcu, U., Egrioglu, E., Uslu, V.R., Basaran, M.A. and, Aladag, C.H. (2009), A new approach for determining the length of intervals for fuzzy time series, Applied Soft Computing, Volume 9, Issue 2, 647-651.

[5]   Egrioglu, E., Aladag, C.H., Yolcu, U., Basaran, M.A., Uslu, V.R. (2009), A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model, Expert Systems with Applications, Volume 36, Issue 4, 7424-7434.

[4]   Basaran, M.A., Aladag, C.H. and, Kadilar, C. (2008), A New Approximation Method Based on Linear Programming for Fuzzy Division, Computational Methods and Applied Computing pp. 388-491, (ISBN: 978-960-6766-67-1, ISSN: 1790-2769).

[3]   Aladag, C.H., Egrioglu, E., and Gunay, S. (2008), A new architecture selection strategy in solving seasonal autoregressive time series by artificial neural networks, Hacettepe Journal of Mathematics and Statistics 37(2), 185-200.

[2]   Egrioglu, E., Aladag, C.H. and, Gunay, S. (2008), A new model selection strategy in artificial neural network, Applied Mathematics and Computation 195, 591-597.

[1]   Aladag, C.H. and Hocaoglu, G. (2007), A tabu search algorithm to solve course timetabling problem, Hacettepe Journal of Mathematics and Statistics 36(1), 53-64.

Other published original papers:

[29] Aladag, C.H. (2019) Architecture Selection in Neural Networks by Statistical and Machine Learning, Oriental Journal of Computer Science and Technology, 12 (3), pp. 76-89. (UlrichsWeb, NAAS, J-Gate, ProQuest, Google Scholar, ROAD, Scilit, WorldCat, ICI, Microsoft Academic, EZ3, Genamics, i-Scholar, ResearchGate, Harvard Library)

[28] Alptekin, D., Aladag, C.H., Alptekin, B. (2017) Analysis of The Casual Relationship Among Number of Registered Road Motor Vehicles, Number of Traffic Accidents and Economic Growth: The Case of Turkey, International Journal of Traffic and Transportation Safety, 3 (1), pp. 5–11.   

[27] Alptekin, D., Alptekin, B., Aladag, C.H. (2017) Forecasting Gold Prices with Fuzzy Time Series, Turkish Journal of Fuzzy Systems, 8 (2), pp. 102–107. (Google Scholar, Index Copernicus, EBSCO, DOAJ)

[26] Alptekin, B., Aladag, C.H. (2016) Artificial neural network models for forecasting tourist arrivals to Barcelona, Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning – ICANN 2016, Part I, Volume LNCS 9886, 2016, Page 561, (ISSN:03029743 ISBN:978-331944777-3), Springer Verlag, Springer International Publishing Switzerland 2016, Conference Paper, 25th International Conference on Artificial Neural Networks (ICANN 2016), Barcelona, Spain, 6-9 September 2016.

[25] Aladag, C.H.,  Yolcu, U.,  Egrioglu, E.,  Turksen, I.B. (2016) Type-1 fuzzy time series function method based on binary particle swarm optimisation, International Journal of Data Analysis Techniques and Strategies, Volume 8, Issue 1, pp 2-13. (Scopus (Elsevier), Academic OneFile (Gale), ACM Digital Library, DBLP Computer Science Bibliography, Expanded Academic ASAP (Gale), Google Scholar, Info Trac (Gale), Inspec (Institution of Engineering and Technology), ProQuest Advanced Technologies Database with Aerospace, ProQuest Materials Science Collection, RePEc, ProQuest Technology Collection)

[24] Guney, H., Aladag, C.H. (2016) Forecasting seasonal fuzzy time series via periodical analysis approach, Turkish Journal of Fuzzy Systems, 7 (2), pp. 13–24. (Google Scholar, Index Copernicus, EBSCO, DOAJ)

[23] Bal, C., Demir, S., Aladag, C.H. (2016) A comparison of different model selection criteria for forecasting EURO/USD exchange rates by feed forward neural network, International Journal of Computing, Communication and Instrumentation Engineering (IJCCIE) Volume 3, Issue 2 (2016); ISSN 2349-1469; EISSN 2349-1477.

[22] Egrioglu E., Aladag, C.H., Yolcu, U. Dalar, A.Z. (2015) A New Hybrid Fuzzy Time Series Forecasting Approach Based on Intelligent Optimization, American Journal of Intelligent Systems 5 (4), 97-108. (Index Copernicus, Standard Periodical Directory, Electronic Journals Library, German National Serials Database, Scientific Publications Index, Scientific Resources Database, Scholarly Journals Index, Elite Scientific Journals Archive, Current Index to Scholarly Journals, J-Gate, EBSCO A-to-Z)

[21] Bas E., Yolcu U., Egrioglu E., Aladag C.H. (2015) A Fuzzy Time Series Forecasting Method Based on Operation of Union and Feed Forward Artificial Neural Network, American Journal of Intelligent Systems 5 (3), 81-91. (Index Copernicus, Standard Periodical Directory, Electronic Journals Library, German National Serials Database, Scientific Publications Index, Scientific Resources Database, Scholarly Journals Index, Elite Scientific Journals Archive, Current Index to Scholarly Journals, J-Gate, EBSCO A-to-Z)

[20] Aladag, C.H. (2014) New Kind of Statistical Methods, Journal of Mathematics and Statistics, 10 (4), 423-425. (ASA, Cabell, CMP, DOAJ, EBSCO, Elsevier, Genamics, IEE, INSPE, J-Gate, Mathematical Reviews, MathSciNe, SCOPUS, Thomson Gale, Ulrich, WAD, Zentralblatt MATH)

[19] Aladag, C.H., Turksen I.B., Dalar, A.Z., Egrioglu, E., Yolcu, U. (2014) Application of Type-1 Fuzzy Functions Approach for Time Series Forecasting, Turkish Journal of Fuzzy Systems, Special Issue on Fuzzy Systems in Statistics, 5 (1), pp. 1–9. (Google Scholar, Index Copernicus, EBSCO, DOAJ)

[18] Egrioglu, E., Aslan, Y., Aladag, C.H. (2014) A new fuzzy time series method based on artificial bee colony algorithm, Turkish Journal of Fuzzy Systems, Special Issue on Fuzzy Systems in Statistics, 5 (1), pp. 59–77. (Google Scholar, Index Copernicus, EBSCO, DOAJ)

[17] Egrioglu E., Aladag C.H., Yolcu U., Bas E. (2014) A New Adaptive Network Based Fuzzy Inference System For Time Series Forecasting, Aloy Journal of Soft Computing and Applications, accepted paper.

[16] Aladag, C.H., Marinescu, M.M. (2013) Tl/Euro and Leu/Euro exchange rates forecasting with artificial neural networks, Journal of Social and Economic Statistics, 2 (2), 1–6. (EBSCO, DOAJ, RePec-Ideas)

[15] Egrioglu E., Aladag C.H., Yolcu U., Corba B.S., Cagcag O. (2013) Fuzzy Time Series Method Based On Multiplicative Neuron Model and Membership Values, American Journal of Intelligent Systems, 3(1), 33-39. (Index Copernicus, Standard Periodical Directory, Electronic Journals Library, German National Serials Database, Scientific Publications Index, Scientific Resources Database, Scholarly Journals Index, Elite Scientific Journals Archive, Current Index to Scholarly Journals, J-Gate, EBSCO A-to-Z)

[14] Cagcag, O., Yolcu, U, Egrioglu, E., Aladag, C.H. (2013) A Novel Seasonal Fuzzy Time Series Method to the Forecasting of Air Pollution Data in Ankara, American Journal of Intelligent Systems, 3(1), 13–19. (Index Copernicus, Standard Periodical Directory, Electronic Journals Library, German National Serials Database, Scientific Publications Index, Scientific Resources Database, Scholarly Journals Index, Elite Scientific Journals Archive, Current Index to Scholarly Journals, J-Gate, EBSCO A-to-Z)

[13] Turfan, D., Aladag, C.H., Yeniay, O. (2012), A new genetic algorithm to solve knapsack problems, Journal of Social and Economic Statistics, 2 (1), 40–47. (EBSCO, DOAJ, RePec-Ideas)

[12] Aladag, S., Aladag, C.H., Egrioglu, E. (2012), Analysis of Ankara air quality data with fuzzy time series, Journal of Statistical Research, 9 (2), 77-83.

[11] Alpaslan, F., Egrioglu, E., Aladag, C.H., Tiring, E. (2012), Highest and lowest gold price forecasting with artificial neural networks, Journal of Statistical Research, 9 (2), 12-19.

[10] Aladag, C.H., Egrioglu, E., Kadilar, C. (2012), Improvement in forecasting accuracy using the hybrid model of ARFIMA and feed forward neural network, American Journal of Intelligent Systems, 2 (2), 12-17. (Index Copernicus, Standard Periodical Directory, Electronic Journals Library, German National Serials Database, Scientific Publications Index, Scientific Resources Database, Scholarly Journals Index, Elite Scientific Journals Archive, Current Index to Scholarly Journals, J-Gate, EBSCO A-to-Z)

[9]   Alpaslan, F., Egrioglu, E., Aladag, C.H., Tiring, E. (2012), A statistical research on feed forward neural networks for forecasting time series, American Journal of Intelligent Systems, 2 (3), 21-25. (Index Copernicus, Standard Periodical Directory, Electronic Journals Library, German National Serials Database, Scientific Publications Index, Scientific Resources Database, Scholarly Journals Index, Elite Scientific Journals Archive, Current Index to Scholarly Journals, J-Gate, EBSCO A-to-Z)

[8]   Uslu, V.R., Yolcu, U., Egrioglu, E., Aladag, A., Basaran, M.A. (2012), Forecasting inflation rates with high order fuzzy time series approach, Journal of Dokuz Eylul University Faculty of Economics and Administrative Sciences, 27 (1), 85-95. (in Turkish)

[7]   Egrioglu, E., Aladag, C.H., Kadilar, C. (2011), The CSS and two staged methods for parameter estimation in SARFIMA models, Journal of Probability and Statistics, Special Issue: Advances in Applied Econometrics, article in press. (doi:10.1155/2011/691058) (Current Index to Statistics (CIS), International Abstracts in Operations Research (IAOR), Statistical Theory and Method Abstracts (STMA-Z), Zentralblatt MATH Database, Computers and Applied Sciences Complete)

[6]   Aladag, C.H., Egrioglu, E., Gunay, S., Yolcu, U. (2010), High order fuzzy time series forecasting model and its application to IMKB, Anadolu University Journal of Science and Technology, 11 (2), 95-101. (ISI)

[5]   Erilli, N.A., Egrioglu, E., Yolcu, U., Aladag, C.H., Uslu, V.R., (2010), Forecasting of Turkey inflation with hybrid of feed forward and recurrent artificial neural networks, Doğuş University Journal, 11 (1), 42-55. (Ebsco host, JEL, DOAJ, TUBITAK ULAKBIM Social Science Database) (in Turkish)

[4]   Ozturk, A., Konas, E., Bilgici, B., Aladag, C.H. (2011), The influence of smoking on gingival crevicular fluid and serum substance p levels, Türkiye Klinikleri Journal of Dental Sciences, 17 (1), 1-7. (ISSN: 1300-7734) (Index Copernicus) (in Turkish)

[3]   Kadilar, C., Simsek, M., Aladag, C.H. (2009), Forecasting The exchange rate series with ANN: the case of Turkey, Istanbul University Journal of Econometrics and Statistics, Issue 9, 17-29. (Econpapers, IndexCopernicus, Repec)

[2]    Basaran, M.A., Aladag, C.H.  and, Kadilar, C. (2008), Conducting fuzzy division by using linear programming, WSEAS Transactions on Information Science & Applications issue 6, volume 5, 923-928. (ISSN: 1790-0832) (ISI)

[1]    Alpaslan, F., Erilli, A.E., Yolcu, U, Egrioglu, E., Aladag, C.H., (2011), Determining proper cluster number with neural networks and Diskriminant analysis, Journal of Economics and Administrative Sciences, 10th Turkey Econometrics and Statistics Symposium Special Issue, 475-488.

International Conferences:

 

[91] Unal, B., Aladag, C.H., Prediction of number of foreigners visiting Turkey with LSTM and feed-forward neural networks, 4th International Tourism Congress, Eskisehir, Turkey, October 16 - 19, 2019.

[90] Ozalp, M.A., Yildirak, K., Aladag, C.H., Unal, N., Prognostic Performance of Statistical and Machine Learning Methods on MIMIC-III Clinical Database, International Conference on Data Science, Machine Learning and Statistics (DMS 2019) Proceeding Book, pp. 8–11, Van Yüzüncü Yıl University, Van, Turkey, June 26-29, 2019.

[89] Unal, B., Aladag, C.H., Stock Exchange Prediction via Long Short-Term Memory Networks, International Conference on Data Science, Machine Learning and Statistics (DMS 2019) Proceeding Book, pp. 246–248, Van Yüzüncü Yıl University, Van, Turkey, June 26-29, 2019.

[88] Unal, B., Aladag, C.H., Senoglu, B., Robust Portfolio Optimization in Stock Exchange Market, International Conference on Data Science, Machine Learning and Statistics (DMS 2019) Proceeding Book, pp. 252–254, Van Yüzüncü Yıl University, Van, Turkey, June 26-29, 2019.

[87] Tunca, B., Saracli, S., Aladag, C.H., Kilic, I., An Application on Comparison of Classical and Artificial Neural Network Approaches on Type II Regression Analysis, International Conference on Data Science, Machine Learning and Statistics (DMS 2019) Proceeding Book, pp. 147–149, Van Yüzüncü Yıl University, Van, Turkey, June 26-29, 2019.

[86] Unal, B., Aladag, C.H., Comparison of major stock market indices using recurrence quantification analysis, 6th International Symposium on Chaos, Complexity and Leadership (ICCLS), Antalya, Turkey, December 11-12, 2018.

[85] Unal, B., Aladag, C.H., Portfolio optimization with different rolling windows sizes, XIX. International Symposium on Econometrics, Operational Research and Statistics, Antalya, Turkey, October 17-20, 2018.

[84] Unal, B., Aladag, C.H., Comparison of classical and robust estimators in portfolio optimization, XIX. International Symposium on Econometrics, Operational Research and Statistics, Antalya, Turkey, October 17-20, 2018.

[83] Unal, B., Aladag, C.H., Robust Estimators in Portfolio Optimization, 11. International Statistics Days Conference, Bodrum, Muğla, Turkey, October 3-7, 2018.

[82] Acitas, S., Aladag, C.H., Senoglu, B., Using particle swarm optimization for estimating the parameters of kappa distribution via maximum likelihood method: an application to hydrology, 4th International Researchers, Statisticians and Young Statisticians Congress, Book of Abstracts, pp. 80, Çeşme, İzmir, Turkey, April 28-29, 2018.

[81] Unal, B., Aladag, C.H., Comparison of bidding strategies in double auction market with multi-agent simulations, 4th International Researchers, Statisticians and Young Statisticians Congress, Book of Abstracts, pp. 129, Çeşme, İzmir, Turkey, April 28-29, 2018.

[80] Alptekin, B., Aladag, C.H., Solving nonlinear programming problems wıth particle swarm optimization, 4th International Researchers, Statisticians and Young Statisticians Congress, Book of Abstracts, pp. 43, Çeşme, İzmir, Turkey, April 28-29, 2018.

[79] Alptekin, D., Alptekin, B., Aladag, C.H., Particle swarm optimization for multi-objective optimization problems, 4th International Researchers, Statisticians and Young Statisticians Congress, Book of Abstracts, pp. 83, Çeşme, İzmir, Turkey, April 28-29, 2018.

[78] Alptekin, D., Alptekin, B., Aladag, C.H., Comparison between multınomial logistic regression and artificial neural networks: an applıcation, 4th International Researchers, Statisticians and Young Statisticians Congress, Book of Abstracts, pp. 15, Çeşme, İzmir, Turkey, April 28-29, 2018.

[77] Akin, C., Karaman, A., Kisa, O., Saracli, S., Aladag, C.H., Examination of attitudes and behaviors of modern Turkish dialects and literatures students towards Turkish dialects and literatures, 6th international Conference on Science Culture and Sports, Lviv, Ukraine, April 25-27, 2018.

[76] Alptekin, B., Aladag, C.H., Air pollution forecasting with time series neural networks models, Data Science, Statistics and Visualisation DSSV 2017 Book of Abstracts, pp. 49, Lisbon, Portugal, July 12-14, 2017.

[75] Aydar E., Aladag, C.H., Mentes, T., Volcanic Ash –Aircraft Encounter Damages: in Volcanological Point of View, The European Geosciences Union (EGU) General Assembly 2017, Geophysical Research Abstracts Vol 19 pp. 6156, Vienna, Austria, April 8–13, 2017.

[74] Alptekin, B., Aladag, C.H., Forecasting the proportion of tourism income of Turkey in GDP with artificial neural networks, 1st International Congress on Future of Tourism: Innovation, Entrepreneurship and Sustainability 2017 Mersin University Publications Publication No:48, Tourism Faculty Publications Publication No:1, pp. 47-54, Mersin, Turkey, September 28-30, 2017.

[73] Alptekin, B., Aladag, C.H., Particle swarm optimization for Nonlinear Programming, 18th International Symposium on Econemetrics, Operational Research and Statistics, Trabzon, Turkey, October 5-7, 2017.

[72] Alptekin, B., Aladag, C.H., Forecasting with fuzzy time series models, 5th International Fuzzy Systems Symposium (FUZZYSS'17) Abstracts Book pp. 118, Ankara, Turkey, October 14-15, 2017.

[71] Guney, H., Aladag C.H., Forecasting Seasonal Time Series with Fuzzy Time Series Based on Markov Transition Matrix, 5th International Fuzzy Systems Symposium (FUZZYSS'17) Abstracts Book pp. 117, Ankara, Turkey, October 14-15, 2017.

[70] Alptekin, D., Alptekin, B., Aladag, C.H., Forecasting gold prices with fuzzy time series, 5th International Fuzzy Systems Symposium (FUZZYSS'17) Abstracts Book pp. 119, Ankara, Turkey, October 14-15, 2017.

[69] Aladag, C.H., Analyzing Tourism Demand of Thailand with Artificial Neural Network Models, World Congress on Engineering and Applications (WCEA-2016) Abstracts Book pp. 29, Bangkok, Thailand, December 16-17, 2016.

[68] Acitas, S., Aladag, C.H., Senoglu, B., Estimating the Parameters of Weibull Distribution via Particle Swarm Optimization Based on an Adaptive Search Space, The International Chinese Statistical Associ-ation (ICSA) on Global Growth of Modern Statistics in the 21st Century, Xuhui campus of Shanghai Jiao Tong University, Shanghai, China, December 19-22, 2016.

[67] Alptekin, B., Aladag, C.H., Forecasting gold prices with median neuron model, International Journal of Arts & Sciences’ (IJAS) International Conference for Business and Economics, Freiburg University, Freiburg, Germany, October 29-November 2, 2016.

[66] Alptekin, B., Aladag, C.H., Different performance measures for forecasting electricity consumption of Turkey, 10th International Statistics Days Conference, pp. 98, Giresun, Turkey, October 7-9, 2016.

[65] Alptekin, B., Aladag, C.H., Analysis of Turkey tourism data with artificial neural networks, 3rd International Congress of Tourism and Management Researches, Antalya, Turkey, May 20-22, 2016.

[64] Aladag, C.H., Evaluating performance of fuzzy time series forecasting models, 2nd International Researchers, Statisticians and Young Statisticians Congress, pp. 59, Ankara, Turkey, May 4-7, 2016.

[63] Bal, C., Aladag, C.H., Demir, S., Forecasting TRY/USD exchange rate with different artificial neural network models, 2nd International Researchers, Statisticians and Young Statisticians Congress, pp. 60, Ankara, Turkey, May 4-7, 2016.

[62] Bal, C., Demir, S., Aladag, C.H., Earthquake forecast modeling comparison with artificial neural networks and conventional time series approaches in case of Mugla, 2nd International Researchers, Statisticians and Young Statisticians Congress, pp. 62, Ankara, Turkey, May 4-7, 2016.

[61] Bal, C., Demir, S., Aladag, C.H., Forecasting EURO/USD exchange rates with different model selection criteria, The 4th International Conference on Pure and Applied Mathematics (ICPAM 2015), Rome, Italy, July 16-17, 2015.

[60] Aladag, C.H., Alptekin, B., Forecasting Exchange Rates by Using Neural Networks Based on Median Neuron Model, 9th International Statistics Congress, Antalya, Turkey, October 28 – November 1, 2015.

[59] Dalar, A.Z., Egrioglu, E., Yolcu, O.C., Aladag, C.H., The Type-1 Fuzzy Function Approach Based on Artificial Neural Network for Forecasting, International Journal of Arts & Sciences’ (IJAS) The Euro-American Conference for Academic Disciplines, April 13-16, Paris, France, 2015.

[58] Egrioglu, E., Bas, E., Aladag, C.H., Yolcu, U., A new probabilistic fuzzy time series method, The 4th International Fuzzy Systems Symposium, Abstract Book pp. 40, Yıldız Technical University, Istanbul, Turkey, November 5-6, 2015.

[57] Bas, E., Egrioglu, E., Aladag, C.H., Yolcu, U., A fuzzy time series network for forecasting, International Work-Conference on Time Series (ITISE 2015), Granada, Spain, July 1-3, 2015.

[56] Dalar, A.Z., Yolcu, U., Egrioglu, E., Aladag, C.H., Forecasting Turkey electricity consumption by using fuzzy functions approach, International Work-Conference on Time Series (ITISE 2015), Granada, Spain, July 1-3, 2015.

[55] Yolcu O.C., Yolcu, U., Egrioglu, E., Aladag, C.H., A high order fuzzy time series forecasting model based on fuzzy c-means and artificial neural networks, International Work-Conference on Time Series (ITISE 2015), Granada, Spain, July 1-3, 2015.

[54] Aladag, C.H., Alaybeyoglu, M.C., Alptekin, B., Forecasting tourism demand in Turkey with artificial neural network models determined by different performance measures, 6th International Conference Economic Challenges in Enlarged Europe, Tallinn University of Technology, Tallinn, Estonia, June 15-17, 2014.

[53] Aladag, C.H., Yolcu, U., Egrioglu, E., Gundogdu, O., A new neural network based on multiplicative neuron model for multivariate time series forecasting, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[52] Alptekin, B., Aladag, C.H., Different performance measures for forecasting electricity consumption of Austria, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[51] Turfan, D., Aladag, C.H., Yeniay, O., A new heuristic approach for portfolio optimization, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[50] Egrioglu, E., Aladag, C.H., Yolcu, U., Dalar, A.Z., A new neural network model with deterministic trend component for time series forecasting, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[49] Yolcu, U., Egrioglu, E., Aladag, C.H., Probabilistic approaches for multiplicative neuron model artificial neural networks, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[48] Dalar, A.Z., Yolcu, U., Egrioglu, E., Aladag, C.H., Comparison of type-1 fuzzy function approach and traditional forecasting methods for İstanbul stock and bond exchange time series, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[47] Yolcu, U., Egrioglu, E., Aladag, C.H., Yolcu, O.C., Robust fuzzy time series approach, International Journal of Arts & Sciences’ (IJAS) International Conference for Academic Disciplines, FHWien University of Applied Sciences of WKW, Vienna, Austria, April 6-10, 2014.

[46] Aladag, C.H., Artificial Neural Network Models for Forecasting International Tourist Arrivals to Thailand, International Research Conference On Business, Management, Engineering And Technological Sciences, Bangkok, Thailand, December 02-03, 2013.

[45] Aladag, C.H., Forecasting public expenditure by using linear and non-linear models, International Conference on Dilemmas of Contemporary Public Administration Proceedings, pp. 160–168, Alcide De Gasperi University of Euroregional Economy, Warsaw, Poland, September 05-06, 2013.

[44] Yolcu, U., Aladag, C.H., Public expenditure forecasting with fuzzy  time series, International Conference on Dilemmas of Contemporary Public Administration Proceedings, pp. 213–220, Alcide De Gasperi University of Euroregional Economy, Warsaw, Poland, September 05-06, 2013.

[43] Yolcu, U., Aladag, C.H., Egrioglu, E., Time series forecasting with median neuron model feed forward neural networks, XIVth International Symposium on Econometrics, Operations Research and Statistics, Sarajevo, Bosnia and Herzegovina, May 2428, 2013.

[42] Aladag, C.H., Yolcu, U., Egrioglu, E., Turksen I.B., Type-1 Fuzzy Time Series Function Approach Based on Binary Particle Swarm Optimization, The 3rd International Fuzzy Systems Symposium, Istanbul, Turkey, October 24-25, 2013.

[41] Yolcu, O.C., Alpaslan, F., Egrioglu, E., Aladag, C.H., A Novel Hybrid Fuzzy Time Series Approach, The 3rd International Fuzzy Systems Symposium, Istanbul, Turkey, October 24-25, 2013.

[40] Egrioglu, E., Yolcu, U., Aladag, C.H., Bas, E., Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting, 2nd World Conference on Business, Economics & Management, Antalya, Turkey, April 25-28, 2013.

[39] Turfan, D., Aladag, C.H., Yeniay, O., A genetic algorithm for portfolio optimization, International 8th Statistics Congress Abstracts, pp. 53-54, Antalya, Turkey, October 27-29, 2013.

[38] Egrioglu, E., Aladag, C.H., Yolcu, U., A new adaptive network fuzzy inference system for time series forecasting, International 8th Statistics Congress Abstracts, pp. 174-175, Antalya, Turkey, October 27-29, 2013.

[37] Alptekin, B., Alaybeyoglu, M.C., Bal, C., Aladag, C.H., Different performance measures for forecasting tourism demand of Turkey, International 8th Statistics Congress Abstracts, pp. 180-181, Antalya, Turkey, October 27-29, 2013.

[36] Dalar, A.Z., Egrioglu, E., Yolcu, U., Aladag, C.H., Turksen, I.B., An application of type-1 fuzzy function approach for time series, International 8th Statistics Congress Abstracts, pp. 129-130, Antalya, Turkey, October 27-29, 2013.

[35] Gundogdu, O., Egrioglu, E., Aladag, C.H., Yolcu, U., Multiplicative neuron model artificial neural network based on Gaussian activation function, International 8th Statistics Congress Abstracts, pp. 48-49, Antalya, Turkey, October 27-29, 2013.

[34] Yolcu, U., Cagcag, O., Egrioglu, E., Aladag, C.H., An improved high order fuzzy time series approach, International 8th Statistics Congress Abstracts, pp. 178-179, Antalya, Turkey, October 27-29, 2013.

[33] Aladag, C.H., Marinescu, M.M., Tl/Euro and Leu/Euro exchange rates forecasting with artificial neural networks, Proceedings of the 6th International Conference on Applied Statistics, pp. 22-28, ISSN 2069-2498. The Bucharest University of Economic Studies, Bucharest, Romania, November 15-16, 2012.

[32] Turfan, D., Aladag, C.H., Yeniay, O., A new genetic algorithm to solve knapsack problems, Proceedings of the 6th International Conference on Applied Statistics, pp. 1-7, ISSN 2069-2498. The Bucharest University of Economic Studies, Bucharest, Romania, November 15-16, 2012.

[31] Egrioglu, E., Aladag, C.H., Fuzzy time series method based on particle swarm optimization and multiplicative neuron model, Proceedings of the 7th International Conference on Neural Networks and Artificial Intelligence, pp. 22-26. (ISNBN 978-985-488-924-5). Belarus State University of Informatics and Radioelectronics, Minsk, Belarus, October 10-12, 2012.

[30] Aladag, C.H., Aladag, S., Forecasting the number of occupational accidents in Turkey by using a hybrid forecasting technique, Barcelona International Conference on Advances in Statistics (BAS2012) Abstracts, pp. 23-27, Universitat de Vic, Barcelona, Spain, June 18-22, 2012.

[29] Aladag, C.H., Egrioglu, E., Bal, C., Alptekin, B., Forecasting TL/Chinese RMB and TL/USD exchange rates with feed forward neural networks, 8th International Symposium of Statistics Abstracts, pp. 26-27, Eskisehir, Turkey, October 11-13, 2012.

[28] Alpaslan, F., Cagcag, O., Yolcu, U., Egrioglu, E., Aladag, C.H., Literature review of fuzzy time series and application of fuzzy time series to euro exchange data, 8th International Symposium of Statistics Abstracts, pp. 32-33, Eskisehir, Turkey, October 11-13, 2012.

[27] Alpaslan, F., Egrioglu, E., Aladag, C.H., Dalar, A.Z., Ilter, D., Comparison of multiplicative neuron models using ABC and BP training algorithms: an application to Istanbul gold exchange, 8th International Symposium of Statistics Abstracts, pp. 34-35, Eskisehir, Turkey, October 11-13, 2012.

[26] Egrioglu, E., Aladag, C.H., Gundogdu, O., Ozler, B.S., IMKB forecasting based on multiplicative neuron model, 8th International Symposium of Statistics Abstracts, pp. 138-139, Eskisehir, Turkey, October 11-13, 2012.

[25] Eğrioğlu, E., Aladağ, Ç.H., Yolcu, U., Dalar, A.Z., A hybrid fuzzy time series method based on particle swarm optimization and feed forward neural networks, 8th International Symposium of Statistics Abstracts, pp. 140-141, Eskisehir, Turkey, October 11-13, 2012.

[24] Egrioglu, E., Aladag, C.H., Yolcu, U., Cagcag, C., Ozler, B.S., A fuzzy time series approach based on membership values and multiplicative neuron model, 13th International Conference on Econometrics, Operations Research and Statistics (ICEOS 2012), Famagusta, Turkish Republic of Northern Cyprus, May 24-26, 2012.

[23] Alpaslan, F., Cagcag, C., Yolcu, U., Aladag, C.H., Egrioglu, E., A new approach to analyze seasonal fuzzy time series, 13th International Conference on Econometrics, Operations Research and Statistics (ICEOS 2012), Famagusta, Turkish Republic of Northern Cyprus, May 24-26, 2012.

[22] Aladag, C.H., Aladag, S., Forecasting total health expenditures with a hybrid heuristic method, 12th IEEE International Symposium on Computational Intelligence and Informatics Proceedings Book, pp. 243-246. Óbuda University, Budapest, Hungary, November 21-22, 2011.

[21] Aladag, C.H., Aladag, S., Kasimoglu, B., Using adaptive weighted information criterion in forecasting with neural networks, The 31st Annual International Symposium on Forecasting Abstract Book, pp. 64. The University of Economics, Prague, Czech Republic, June 26-29, 2011.

[20] Aladag, C.H., Defining Fuzzy Relations with Multiplicative Neuron Model, The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey, November 17-18, 2011. The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings, pp. 29-33.

[19] Aladag, C.H., Egrioglu, E., Yolcu, U., A Simulation Based Approach to Calculate the Fuzzy Correlation Coefficient of Fuzzy Observations, The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey, November 17-18, 2011. The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings, pp. 34-36.

[18] Aladag, S., Aladag, C.H., Mentes, T., Egrioglu, E., A New Seasonal Fuzzy Time Series Method Based on Multiplicative Neuron Model and SARIMA, The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey, November 17-18, 2011. The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings, pp. 37-41.

[17] Egrioglu, E., Aladag, C.H., Yolcu, U., A Hybrid Fuzzy Time Series Forecasting Model Based on Fuzzy C-Means and Artificial Neural Networks, The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey, November 17-18, 2011. The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings, pp. 45-49.

[16] Tatar, I.D., Aladag, C.H., Gunay, S., An Entropy Based Approach for Fuzzy Time Series, The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey, November 17-18. The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings, pp. 56-61.

[15] Alpaslan, F., Cagcag, O., Aladag, C.H., Yolcu, U., Egrioglu, E., A Novel Seasonal Fuzzy Time Series Method, The Second International Fuzzy Systems Symposium, Hacettepe University, Ankara, Turkey, November 17-18, 2011. The Second International Fuzzy Systems Symposium (FUZZYSS'11) Proceedings, pp. 50-55.

[14] Aladag, C.H., Marinescu, M.M., Forecasting industry electricity consumption in Romania with artificial neural networks, 7th International Statistics Congress, Antalya, Turkey, 28 April - 01 May, 2011.

[13] Aladag, A., Aladag, C.H., Arslan, M.S., A novel sentiment classification approach based on support vector machines, 2nd International Symposium on Computing in Science and Engineering (ISCSE 2011), Kusadasi, Aydin, Turkey, June 1-4, 2011.

[12] Aladag, C.H., Using Weighted Information Criterion to Forecast the Number of Outpatient Visits, 5th International Conference on Applied Statistics, Bucharest, Romania, November 19 - 20, 2010.

[11] Basaran, A.A., Aladag, C.H., Bagdadioglu, N., Gunay, S., Public Expenditure Forecast with Artificial Neural Networks, 5th International Conference on Applied Statistics, Bucharest, Romania, November 19 - 20, 2010.

[10] Aladag, C.H., Using artificial neural networks in fuzzy time series forecasting, Applied Statistics 2010 International Conference (AS 2010), Ribno, Bled, Slovenia, September 19-22, 2010.

[9]   Aladag, C.H., Egrioglu, E., Yolcu, U., A new high order fuzzy time series approach, 1st International Symposium on Computing in Science and Engineering (ISCSE 2010) proceedings, pp. 648-654, Kusadasi, Aydin, Turkey, June 3-5, 2010.

[8]   Uslu, V.R., C.H. Aladag, CH., Yolcu, U., Egrioglu, E., A new hybrid approach for forecasting a seasonal fuzzy time series, 1st International Symposium on Computing in Science and Engineering (ISCSE 2010) proceedings, pp. 1152-1158, Kusadasi, Aydin, Turkey, June 3-5, 2010.

[7]   Aladag, C.H., Egrioglu, E., Forecasting tourism demand of Turkey by using artificial neural networks, The Tenth Islamic Countries Conference on Statistical Sciences (ICCS-X), Cairo, Egypt, December 20-23, 2009. Proceedings of the ICCS-X, Volume I, The Islamic Countries Society of Statistical Sciences, Lahore: Pakistan, (2010), pp. 384–391.

[6]   Egrioglu, E., Aladag, C.H., Yolcu, U., Basaran, M.A., A new high order fuzzy time series forecasting method based on feed forward neural networks and optimization of interval length, 1st International Fuzzy Systems Symposium (FUZZYSS’09), Ankara, Turkey, October 1-2, 2009.

[5]   Koksoy, O. and Aladag, C.H., A tabu search algorithm to find the pareto solutions of dual response systems in quality engineering, International Conference of Mathematical Sciences (ICMS Istanbul 2009), Istanbul, Turkey, August 4-10, 2009.

[4]   Al, S., Aladag, C.H., Egrioglu, E., Forecasting the number of outpatient visits using artificial neural networks, 5th Conference of the Eastern Mediterranean Region of the International Biometric Society (EMR-IBS), Istanbul, Turkey, May 10-14, 2009.

[3]   Basaran, M.A., Günay, S., Aladag, C.H., Eğrioğlu, E., Parameter estimation in multivariate fuzzy regression utilizing fuzzy identity matrix, International Conference on Multivariate Statistical Modeling & High Dimensional Data Mining, Kayseri, Turkey, June 19-23, 2008.

[2]   Aladag, C.H., Basaran, M.A. and Kadilar, C., A New Approximation Method Based on Linear Programming for Fuzzy Division, Applied Computing Conference 2008, at the Best Western President Hotel, Istanbul, Turkey, May 27-29, 2008.

[1]    Basaran, M.A., Cetin, M. and Aladag, C.H., “Identifying outlier case in fuzzy regression utilizing fuzzy hat matrix”, International Conference on Robust Statistics (ICORS), Antalya, Turkey, September 8-12, 2008.

National Conferences (papers published as proceeding):

 

[37]    Unal, B., Aladag, C.H., “Deep Learning in Stock Exchange Prediction”, 39 th Operational Research and Industrial Engineering National Conference, Başkent University, Ankara, Turkey, 12 – 14 June, 2019.

[36]    Alptekin, D., Aladag, C.H., Alptekin, B., “Trafiğe kayıtlı araç sayısı, gerçekleşen kaza sayısı ve ekonomik büyüme arasındaki ilişkinin analiz edilmesi: Türkiye örneği” ,7th Road Traffic Safety Symposium, Congresium, Ankara, Turkey, 17 – 19 November, 2016.

[35]    Alptekin, D., Aladag, C.H., Alptekin, B., “Ankara ve İstanbul illerinde trafiğe kayıtlı otomobil sayısının yapay sinir ağları ile öngörülmesi” ,7th Road Traffic Safety Symposium, Congresium, Ankara, Turkey, 17 – 19 November, 2016.

[34]    Aladag, C.H., Alptekin, B., Forecasting the number of people died in traffic accidents in Turkey with median neuron model, 6th Road Traffic Safety Symposium, Congresium, Ankara, Turkey, 12 – 14 November, 2015.

[33]    Aladag, C.H., Koyluoglu, S., Handling uncertainty in traffic accidents with fuzzy time series, 6th Road Traffic Safety Symposium, Congresium, Ankara, Turkey, 12 – 14 November, 2015.

[32]    Egrioglu, E., Gundogdu, O., Aladag, C.H., Yolcu, U. (2014), Forecasting by probabilistic radial basis multiplicative neuron model, 15. International Econometrics, Operations Research and Statistics Symposium, Abstract Book pp. 168, Süleyman Demirel University, Isparta, Turkey.

[31]    Aladag, C.H., Turfan, D., Yeniay, O. (2013), Portfolio optimization with genetic algorithms, 1th National Insurance and Actuarial Congress Proceedings, pp. 278–282.

[30]    Aladag, C.H. (2011), Forecasting indicators of individual pension in Turkey with a hybrid approach, 12th International Symposium on Econometrics Statistics and Operations Research Proceedings, pp. 58–64.

[29]    Egrioglu, E., Aladag, C.H., Yolcu, U. (2011), A new method for forecasting fuzzy time series with triangular fuzzy number observations, International 7th Statistics Congress Proceedings, pp. 216-217.

[28]    Aladag, S., Aladag, C.H., Egrioglu, E. (2011), Analyzing Ankara air quality data with fuzzy time series, International 7th Statistics Congress Proceedings, pp. 218-219.

[27]    Yolcu, U., Aladag, C.H., Egrioglu, E., Uslu, V.R. (2011), The effect of the lenghth of interval in fuzzy time series models in forecasting, International 7th Statistics Congress Proceedings, pp. 222-223.

[26]    Alpaslan, F., Egrioglu, E., Aladag, C.H., Tiring, E. (2011), Highest and lowest golden price forecasting with feed forward artificial neural networks, International 7th Statistics Congress Proceedings, pp. 338-339.

[25]    Egrioglu, E., Yolcu, U., Aladag, C.H., Dalar, A.Z. (2011), A new time invariant fuzzy time series forecasting method based on particle swarm optimization and fuzzy clustering, International 7th Statistics Congress Proceedings, pp. 102-103.

[24]    Aladag, C.H. (2010), Forecasting tourism demand of Turkey by using different learning algorithms, 1th Interdisciplinary Tourism Research Symposium Proceeding Book (ISBN: 978-605-5681-66-1), pp. 188–197.

[23]    Aladag, C.H., Egrioglu, E. (2010), Adaptive weighted information criterion to determine the best architecture, 19th Statistics Research Symposium Proceedings, pp. 49-56.

[22]    Aladag, C.H., Yolcu, U, Egrioglu, E., (2010), Analyzing air pollution records in Ankara with a hybrid method combining SARIMA and Elman artificial neural networks, 7th Statistics Days Symposium (IGS2010) Proceedings, 111-117.

[21]    Egrioglu, E., Yolcu, U, Aladag, C.H., Uslu, V.R. (2010), A comparison of traditional and fuzzy time series approaches in analyzing the time series of sulfur dioxide values in Ankara, 7th Statistics Days Symposium (IGS2010) Proceedings, 9-15.

[20]    Kocak, C., Yolcu, U., Egrioglu, E., Aladag, C.H., (2010), Forecasting USD exchange rates with fuzzy time series approaches, 7th Statistics Days Symposium (IGS2010) Proceedings, 128-133.

[19]    Egrioglu, E., Yolcu, U., Aladag, C.H., Erilli, N.A., Inceoglu, F.E. (2009), Forecasting IMKB with a hybrid approach combining fuzzy clustering and fuzzy time series, 18th Statistics Research Symposium Proceedings, pp. 124-135.

[18]    Aladag, C.H., Hocaoglu, G., Yeniay, O. (2009), Combining different move types in tabu search algorithm, 6th Statistics Congress Proceedings, pp. 516-522.

[17]    Aladag, C.H., Egrioglu, E., Günay, S. (2009), Forecasting electricity consumption of Turkey by using weighted information criterion, 6th Statistics Congress Proceedings, pp. 365-373.

[16]    Egrioglu, E., Aladag, C.H., Kadilar, C., Yolcu, U. (2009), Forecast combination with artificial neural networks, 6th Statistics Congress Proceedings, pp. 374-382.

[15]    Egrioglu, E., Aladag, C.H., Yolcu, U., Basaran, M.A., Uslu, V.R. (2009), A high order fuzzy time series approach based on the length of interval determined by optimization, 6th Statistics Congress Proceedings, pp. 204-212.

[14]    Inceoglu, F.E., Egrioglu, E., Yolcu, U., Aladag, C.H. (2009), Analyzing IMKB time series with fuzzy time series, 6th Statistics Congress Proceedings, pp. 78-88.

[13]    Erilli, N.A., Yolcu, U., Egrioglu, E., Oner, Y., Aladag, C.H. (2009), Using artificial neural networks to find the number of cluster in fuzzy time series, 6th Statistics  Congress Proceedings, pp. 498-508.

[12]    Yolcu, U, Aladag, C.H., Egrioglu, E., Uslu, V.R., Basaran, M.A., (2009), Forecasting IMKB with multivariate fuzzy time series, 10th Turkey Econometrics and Statistics Symposium, Erzurum, Turkey.

           (http://iletisim.atauni.edu.tr/eisemp/html/tammetinler.htm, Paper No:130)

[11]    Yolcu, U., Egrioglu, E., Uslu, V.R., Aladag, C.H., Basaran, M.A. (2008), Fuzzy time series method based on optimization for length of interval and one application, 17th Statistics Research Symposium Proceedings, pp. 126-134.

[10]    Egrioglu, E., Aladag, C.H. and Günay, S. (2007), Comparison of architecture selection criteria in analyzing long memory time series, 8th Turkey Econometrics and Statistics Symposium, Malatya, Turkey.     (http://web.inonu.edu.tr/~eisemp8/bkitap.php)

[9]      Aladag, C.H. Egrioglu, E. and Gunay S. (2007), Effect of linear and nonlinear activation functions on artificial neural networks forecasting, 5th Statistics Congress and Risk Measures and Solvency Meeting Proceedings, pp. 771-777.

[8]      Aladag, C.H., Egrioglu E. and Gunay S. (2007) Forecasting Turkey total electric power consumption with artificial neural networks, 16th Statistics Research Symposium Proceedings, pp. 181-191.     

[7]      Aladag, C.H. and Hocaoglu, G. (2007), Neighborhood structure and effect of move types for solving course timetabling problem by tabu search, 5th Statistics  Congress and Risk Measures and Solvency Meeting Proceedings, pp. 14-19.

[6]      Aladag, C.H., Egrioglu, E. (2006), A simulation study to define a general model for ARMA structured time series, 5th Statistics Days Symposium Proceedings, 397-406.

[5]       Egrioglu, E. and Aladag, C.H. (2006) Time series forecasting using a hybrid ARIMA and Elman neural networks, 15th Statistics Research Symposium Proceedings, pp. 560-566.

[4]      Egrioglu, E. and Aladag, C.H., (2005) A hybrid neural network and ARIMA model for forecasting in time series, 7th Turkey Econometrics and Statistics Symposium. (http://www.ekonometridernegi.org/bildiriler/bildiriler.htm)

[3]      Aladag, C.H., Egrioglu, E., (2005) An application for forecasting in time series with using neural networks, 14th Statistics Research Symposium Proceedings, pp. 397-406.

[2]      Aladag, C.H., Egrioglu, E., (2005) A simulation study for specified a general neural network model for ARMA structure time series, 4th Statistics  Congress Proceedings, pp. 441-446.

[1]      Aladag, C.H., (2004) Tabu search algorithm for timetabling problem, 4th Statistics Days Symposium Proceedings, pp. 195-200.

Seminars & Invited Speeches:

[29] Aladag, C.H. “Data Science and Finance”, Financial Solutions with MATLAB, Wyndham Grand Hotels, İstanbul, Turkey, February 26, 2020.

[28] Aladag, C.H., “Student Science”, Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey, December 17, 2019.

[27] Aladag, C.H., “Machine Learning: from the architect of Van Lake to architecture of neural networks”, International Conference on Data Science, Machine Learning and Statistics (DMS 2019), Van Yüzüncü Yıl University, Van, Turkey, June 26, 2019.

[26] Aladag, C.H., “Heavy Weight of Uncertainty: Make Decisions Under Uncertainty”, Department of Statistics, Sıtkı Koçman University, Muğla, Turkey, May 16, 2019.

[25] Aladag, C.H., “The probability of seeing the smile of Mona Lisa”, Faculty of Science, Ege University, Izmir, Turkey, April 29, 2019.

[24] Aladag, C.H., “The probability of seeing the smile of Mona Lisa”, Faculty of Science, Dokuz Eylul University, Izmir, Turkey, February 8, 2019.

[23]         Aladag, C.H., “The probability of seeing the smile of Mona Lisa”, Faculty of Science, Ankara University, Ankara, Turkey, November 30, 2018.

[22] Aladag, C.H., “Statistical Modelling by Artificial Neural Networks”, North International Conference on Economy (NICE 2018), Technical University of Cluj Napoca & North Center University of Baia Mare, Baia Mare, Romania, September 21-22, 2018.

[21] Aladag, C.H., “A Stochastic Fuzzy Time Series Forecasting Model”, 11. International Statistics Days Conference, Bodrum, Muğla, Turkey, October 3-7, 2018.

[20] Aladag, C.H., “A Membership Value Based Performance Measure”, 5th International Fuzzy Systems Symposium, TOBB University of Economics and Technology, Conference Centre, Ankara, Turkey, October 15, 2017.

[19] Aladag, C.H., “Live Statistics”, Afyon Kocatepe University, Faculty of Art and Science, Department of Statistics, Afyon, Turkey, April 24, 2017.

[18] Aladag, C.H., “Fuzzy Time Series”, TOBB University of Economics and Technology, Faculty of Engineering, Department of Industrial Engineering, Ankara, Turkey, February 22, 2017.

[17] Aladag, C.H., “Live Statistics”, Science and Culture Days 2016, Marmara University, Science and Art Faculty, Department of Statistics, Istanbul, Turkey, October 23, 2016.

[16] Aladag, C.H., “Live Statistics”, 13th International Statistics Student Colloquium, Giresun University, Giresun, Turkey, May 13, 2016.

[15]         Aladag, C.H., “Heavy Weight of Uncertainty”, Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey, March 21, 2016.

[14] Aladag, C.H., “Modern Statistics”, Middle East Technical University, Faculty of Science, Department of Statistics, Ankara, Turkey, March 20, 2014.

[13] Aladag, C.H., “Data evaluation and Statistical Analysis Methods in Scientific Researches”, Çanakkale Onsekiz Mart University,  Çanakkale, Turkey, January 31, 2014.

[12] Aladag, C.H., “Advanced Forecasting Methods”, Forum Gospodarczego, Powiatu Otwockiego, Warsaw, Poland, September 7, 2013. (http://www.otwockforum.pl/program) (in English)

[11] Aladag, C.H., “Live Statistics”, 1th Researchers and Statisticians Congress, Tunçalp Özgen Congress Center, Hacettepe University, Ankara, Turkey, September 13, 2013.

[10] Aladag, C.H., “Live Mathematics and Statistics”, Hacettepe University, Faculty of Science, Mehmet Akif Ersoy K Hall, Ankara, Turkey, May 28, 2013.

[9]   Aladag, C.H., “Live Statistics”, Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey, May 8, 2013.

[8]   Aladag, C.H., “Live Mathematics”, Giresun University, Faculty of Art and Science, Giresun, Turkey, May 2, 2013.

[7]   Aladag, C.H., “Advanced Approaches in Time Series Forecasting”, Middle East Technical University, Faculty of Science, Department of Statistics, Ankara, Turkey, December 22, 2011. (in English)

[6]   Aladag, C.H., “Artificial neural networks: The art of forecasting”, Muğla University, Faculty of Science, Department of Statistics, Muğla, Turkey, May 24, 2011.

[5]   Aladag, C.H., “Artificial intelligence in optimization”, Ondokuz Mayis University, Conference Hall of Faculty of Engineering, Samsun, Turkey, October 26, 2010.

[4]   Aladag, C.H., “Linear programming in fuzzy arithmetic”, Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey, January 5, 2010.

[3]   Aladag, C.H., “Fuzzy time series”, Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey, March 4, 2008.

[2]   Aladag, C.H. and Basaran, M.A., “Fuzzy regression analysis”, Ondokuz Mayis University, Faculty of Science and Letters, Department of Statistics, Samsun, Turkey, April 30, 2007.

[1]   Aladag, C.H. and Egrioglu, E., “Forecasting time series using artificial neural networks”, Hacettepe University, Faculty of Science, Department of Statistics, Ankara, Turkey, March 20, 2004.