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Computational Intelligence in Finance

1. 2020 - E. Arın, A. M. Özbayoğlu
   Deep Learning based Hybrid Computational Intelligence Models for Options Pricing
   submitted to Computational Economics
2. 2020 - A. Maratkhan, I. Ilyassov, M. Aitzhanov, M.F. Demirci, A.M. Ozbayoglu
   Deep learning based investment strategy: technical indicator clustering and residual blocks
   submitted to Soft Computing
3. 2020 - A. Murat Ozbayoglu, M. Ugur Gudelek, Ömer Berat Sezer
   Deep learning for financial applications: A survey
   Applied Soft Computing, vol 93, August 2020, 106384, DOI: 10.1016/j.asoc.2020.106384
4. 2020 - Ömer Berat Sezer, M. Ugur Gudelek, A. Murat Ozbayoglu
   Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
   Applied Soft Computing, vol 90, May 2020, 106181, DOI: 10.1016/j.asoc.2020.106181
5. 2019 - E. O. Yıldırım, M. Uçar and A. M. Özbayoğlu
   Evolutionary Optimized Stock Support-Resistance Line Detection for Algorithmic Trading Systems
   2019 1st International Informatics and Software Engineering Conference (UBMYK), Ankara, Turkey, 2019, pp. 1-6, doi: 10.1109/UBMYK48245.2019.8965471
6. 2019 - A. Maratkhan, I. Ilyassov, M. Aitzhanov, M.F. Demirci, A.M. Ozbayoglu
   Financial Forecasting using Deep Learning with an optimized trading strategy
   IEEE Congress on Evolutionary Computation, CEC 2019, 10-13 June 2019, Wellington, New Zealand.
7. 2018 - Ömer Berat Sezer, A. Murat Ozbayoglu
   Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach
   Applied Soft Computing, volume 70, September 2018, pp. 525-538
8. 2018 - Ömer Berat Sezer, A. Murat Ozbayoglu
   Financial Trading Model with Stock Bar Image Time Series with Deep Convolutional Neural Networks
   Intelligent Automation and Soft Computing, in press
9. 2017 - M.U. Güdelek, S.A. Bölük, A.M. Özbayoğlu
   A Deep Learning based Stock Trading Model with 2-D CNN Trend Detection
   IEEE Computational Intelligence in Financial Engineering (IEEE CIFEr 2017) in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Honolulu, HI, USA, 27 November-1 December, 2017.
10. 2017 - O.B. Sezer, M. Ozbayoglu, E. Dogdu
    A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
    Procedia - Computer Sciences - Complex Adaptive Systems, vol 114, pp. 473-480, 30 October-1 November, Chicago, IL, USA, 2017.
11. 2017 - O.B. Sezer, M. Ozbayoglu, E. Dogdu
    An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework
    ACM Southeast Conference, ACMSE 2017, 13-15 April, Kennesaw State University, GA, USA.
12. 2015 - Ucar, I., Ozbayoglu, M., and M. Ucar.
    Developing a Two Level Options Trading Strategy Based on Option Pair Optimization of Spread Strategies with Evolutionary Algorithms.
    IEEE Congress on Evolutionary Computation, CEC 2015. May 25-28. Sendai, Japan.
13. 2014 - Sahin, Ugur and Ozbayoglu, A Murat.
    TN-RSI: Trend-normalized RSI Indicator for Stock Trading Systems with Evolutionary Computation.
    Procedia Computer Science, Complex Adaptive Systems, CAS 2014. Vol. 36, pp. 240–245.
14. 2013 - Ucar, Mustafa, Ilknur Bayram, and Ozbayoglu, A Murat.
    A Two-Level Cascade Evolutionary Computation Based Covered Call Trading Model.
    Procedia Computer Science, Complex Adaptive Systems Conference. ASME.
15. 2010 - Ozbayoglu, A.Murat and Umur Erkut.
    Stock Market Technical Indicator Optimization by Genetic Algorithms.
    Artificial Neural Networks for Engineering 2010 (ANNIE 2010). ASME Press, pp. 589–596.
16. 2008 - Ozbayoglu, A.M and I Bahadır.
    Comparison of Bayesian Estimation and Neural Network Model in Stock Market Trading.
    Intelligent Engineering Systems Through Artificial Neural Networks. ASME, pp. 581–586.
17. 2007 - Ozbayoglu, A.Murat.
    Neural based Technical Analysis in Stock Market Forecasting.
    Intelligent Engineering Systems Through Artificial Neural Networks. ASME, pp. 261–266.
18. 2006 - Özbayoglu, A.M.
    Yapay Sinir Agları kullanarak hazırlanan bir Hisse senedi deger tahmini uygulaması.
    TOK 06, Otomatik Kontrol Ulusal Toplantısı, pp. 149–152.
19. 1994 - Ozbayoglu, MA, CH Dagli, and B Fulkerson.
    A hierarchial neural network implementation for forecasting.
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on. Vol. 5, pp. 3184–3189.

Data Clustering

1. 2020 - Jeyhun Karimov, Murat Ozbayoglu, Bulent Tavli, Erdoğan Doğdu
   Menu Optimization for Multi-Profile Customer Systems on Large Scale Data
   submitted to Computational Economics
2. 2016 - M. Akif, Agca, Senol Atac, M. Mert Yucesan, Gokhan Y. Kucukayan, A. Murat Özbayoglu and Erdogan Dogdu.
   Opinion Mining of Microblog Texts on Hadoop Ecosystem.
   International Journal of Cloud Computing, vol 5, No:1-2, pp. 79-90.
3. 2015 - J. Karimov, M. Ozbayoglu
   Clustering Quality Improvement of K-means Using a Hybrid Evolutionary Model
   Procedia - Computer Sciences - Complex Adaptive Systems, Vol. 61, pp.38-45. 2-4 November. San Jose, CA, USA.
4. 2015 - J. Karimov, M. Ozbayoglu
   High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm
   IEEE International Conference on Big Data, 2015, in press. 29 October-1 November. Santa Clara, CA, USA.
5. 2015 - Karimov, J., M. Ozbayoglu, and E. Dogdu.
   k-means Performance Improvements with Centroid Calculation Heuristics both for Serial and Parallel environments.
   2015 IEEE Big Data Congress. 27 June-2 July. New York, USA.
6. 1997 - Murat Ozbayoglu, A and CH Dagli.
   Unsupervised hierarchical fingerprint matching.
   Neural Networks, 1997., International Conference on. Vol. 3. IEEE, pp. 1439–1442.
7. 1995 - Enke, D, HC Lee, Ozbayoglu, AM, A Thammano, and CH Dagli.
   An Application to Speaker Identification Using SimNet.
   Intelligence Engineering Systems Through Artificial Neural Networks. Vol. 5.
8. 1995 - Lee, HC, CH Dagli, F Ercal, and Ozbayoglu, AM.
   SimNet: A Parallel Neuro-Fuzzy Paradigm for Data Clustering.
   OAI Neural Networks Symposium and Workshop (OAINN’95).

Intelligent Manufacturing / Industry 4.0

1. 2020 - G. Serin, B. Sener, A.M. Ozbayoglu, H.O. Unver
   Review of tool condition monitoring in machining and opportunities for deep learning
   The International Journal of Advanced Manufacturing Technology, pp. 1-22, DOI: 10.1007/s00170-020-05449-w
2. 2020 - G. Serin, B. Sener, A.M. Ozbayoglu, H.O. Unver
   Integrated energy-efficient machining of rotary impellers and multi-objective optimization
   Materials and Manufacturing Processes, vol 35, No 4, pp. 478-490, DOI: 10.1080/10426914.2019.1605177
3. 2019 - G. Serin, M. Kahya, A.M. Ozbayoglu, H.Ö. Unver
   Investigation of Specific Cutting Energy and Surface Roughness for Turning of Ti6Al4V Workpiece and Development of an Artificial Neural Network Based Prediction Model
   Uludag University Journal of The Faculty of Engineering. Vol. 24. 2, pp. 517-536, DOI: 10.17482/uumfd.301128
4. 2017 - G. Serin, U. Güdelek, A.M. Özbayoğlu, H.Ö. Ünver
   Estimation of Parameters for the Free-Form Machining with Deep Neural Net
   IEEE International Conference on Big Data, 2017, 13-15 December, Boston, MA, USA.
5. 2017 - G. Serin, M. Kahya, A.M. Özbayoğlu, H.Ö. Ünver
   An artificial neural network based power prediction model for rough cutting of AISI 304
   8th International Symposium on Machining, 2-4 November, Antalya, Turkey, 2017.
6. 2017 - M. Kahya, G. Serin, A.M. Özbayoğlu, H.Ö. Ünver
   Investigation of rough milling of Ti6A14V using response surface methodology
   8th International Symposium on Machining, 2-4 November, Antalya, Turkey, 2017.
7. 2017 - Bahram Lotfi Sadigh, Shahrzad Nikghadam, A. Murat Ozbayoglu, Hakki Ozgur Unver, Erdogan Dogdu and S. Engin Kilic
   An ontology-based multi-agent virtual enterprise system (OMAVE): part 2: partner selection
   International Journal of Computer Integrated Manufacturing, 31 January 2017
8. 2016 - S. Nikghadam, A.M. Ozbayoglu, H.O. Unver, S.E. Kilic
   Design of a Customer's Type Based Algorithm for Partner Selection Problem of Virtual Enterprise
   Procedia - Computer Sciences - Complex Adaptive Systems, Vol. 95, pp.467-474. 2-4 November. Los Angeles, CA, USA.
9. 2016 - S. Nikghadam, H.O. Unver, A.M. Ozbayoglu, S.E. Kilic
   A Structurally Enhanced Fuzzy Inference System Partner Selection Technique In Forming Virtual Enterprise
   INFORMS 2016, 13-16 November, Nashville, TN, USA.
10. 2016 - Bahram Lotfi Sadigh, Hakki Ozgur Unver, Shahrzad Nikghadam, Erdogan Dogdu, A. Murat Ozbayoglu and S. Engin Kilic
    An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain modelling and rule management
    International Journal of Computer Integrated Manufacturing, 19 Feb 2016
11. 2015 - S. Nikghadam, B.Lotfi Sadigh, A.M. Özbayoğlu, H.Ö. Ünver and S. E. Kılıç
    A survey of partner selection methodologies for virtual enterprises and development of a goal programming– based approach
    International Journal of Advanced Manufacturing Technology, pp. 1-22, 12 Nov 2015
12. 2015 - Nikghadam, S., B. Lotfi Sadigh, Ozbayoglu, A. M, Unver, H. O. and Kilic. S. E.
    Evaluation of Partner Companies based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium
    Lecture Notes in Computer Science – CCIS Communications in Computer Science vol 577, pp. 104-115, 15 Dec 2015.
13. 2015 - Nikghadam, S., B.Lotfi Sadigh, Ozbayoglu, A. M., H. O. Unver, and S. E. Kilic.
    Partner selection in formation of virtual enterprises using fuzzy logic.
    International Conference on Operations Research and Enterprise Systems, ICORES 2015, 10-12 January 2015, Lisbon, Portugal, pp. 82– 88.
14. 2014 - Gumus, Tuna, Hugi Christoph, Dirk Hengevoss, Engin Kılıç, Guillaume Massard, Özbayoglu, Murat, and Ozgur Unver.
    Conceptualization of a Web-based Software Platform that enables Clean Production and Industrial Symbiosis.
    16th International Conference on Machine Design and Production, UMTIK 2014, Izmir, Turkey.
15. 2014 - Sadigh, B Lotfi, F Arikan, Ozbayoglu, AM, HO Unver, and SE Kilic.
    A Multi-agent System Model for Partner Selection Process in Virtual Enterprise.
    Procedia Computer Science, Complex Adaptive Systems, CAS 2014. Vol. 36, pp. 367–372.

Computational Intelligence based Multiphase Flow Analysis

1. 2018 - Hatice Tombul, Murat Ozbayoglu, Evren Ozbayoglu
   Computational Intelligence Models for PIV based Particle (Cuttings) Direction and Velocity Estimation in Multi-Phase Flows
   Journal of Petroleum Science & Engineering, vol 172, Jan 2019, pp. 547-558
2. 2018 - Evren Ozbayoglu, Oney Erge, Murat Ozbayoglu
   Predicting the pressure losses while the drillstring is buckled and rotating using artificial intelligence methods
   Journal of Natural Gas Science & Engineering, volume 56, August 2018, pp. 72-80
3. 2015 - Osgouei, R.E., Özbayoglu, E., Özbayoglu, M. and Yüksel, E.
   A new model to determine the two phase drilling Fluid Behaviors through Horizontal Eccentric Annular Geometry, Part A: Flow Pattern Identification and Liquid Holdup Estimation.
   Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Volume 37, Issue 15, pp. 1663-1673
4. 2015 - Osgouei, R.E., Özbayoglu, E., Özbayoglu, M. and Yüksel. E.
   A new model to determine the two phase drilling Fluid Behaviors through Horizontal Eccentric Annular Geometry, Part B: Frictional Pressure Losses Estimation.
   Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Volume 37, Issue 16, pp. 1756-1765
5. 2015 - Osgouei, Reza Ettehadi, Ozbayoglu, A. Murat, Ozbayoglu Evren M., Yuksel Ertan, Eresen, Aydin.
   Pressure drop estimation in horizontal annuli for liquid–gas 2 phase flow: Comparison of mechanistic models and computational intelligence techniques.
   Computers & Fluids 112, pp. 108-115
6. 2015 - Sorgun, Mehmet, Ozbayoglu, A Murat, and Ozbayoglu M Evren.
   Support Vector Regression and Computational Fluid Dynamics Modeling of Newtonian and Non-Newtonian Fluids in Annulus With Pipe Rotation.
   Journal of Energy Resources Technology 137.3, p. 032901.
7. 2013 - Osgouei, R.E., M.E. Özbayoglu, Özbayoglu, A.M, and T. Eren.
   Three phase flow characteristics in Inclined Eccentric Annuli.
   2013 IADC/SPE Drilling Technology Conference and Exhibition (MEDT), Dubai, UAE.
8. 2013 - Sorgun, Mehmet, Osgouei, Reza E, Ozbayoglu, M Evren and Ozbayoglu, A Murat.
   Gas-Liquid Flow Through Horizontal Eccentric Annuli: CFD and Experiments Compared
   Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35.10, pp. 891-899.
9. 2013 - Osgouei, Reza Ettehadi, Mehmet Evren Ozbayoglu, Ozbayoglu, Murat, and Ertan H Yuksel.
   The Determination of Two Phase Liquid-Gas Flow Behavior Through Horizontal Eccentric Annular Geometry by Modification of Beggs & Brill and Lockhart & Martinelli Models.
   ASME 2013 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, V01CT17A008–V01CT17A008.
10. 2012 - Ozbayoglu, A Murat and Yuksel, H Ertan.
    Analysis of gas–liquid behavior in eccentric horizontal annuli with image processing and artificial intelligence techniques.
    Journal of Petroleum Science and Engineering 81.1, pp. 31-40.
11. 2012 - Ozbayoglu, Mehmet, Osgouei, Reza, Ozbayoglu, Murat, and Yuksel, Ertan.
    Hole Cleaning Performance of Gasified Drilling Fluids in Horizontal Well Sections.
    SPE Journal 17.3, pp. 912-923.
12. 2012 - Sorgun, Mehmet, Ozbayoglu, Murat, and Evren Ozbayoglu.
    Estimation of Frictional Pressure Losses in Annulus with Pipe Rotation Using Neural Networks and Computational Fluid Dynamics.
    10th International Conference on Advances in Civil Engineering, ACE 2012, Ankara, Turkey.
13. 2011 - Mehmet, Sorgun, Ozbayoglu, A.Murat, and Ozbayoglu M. Evren.
    Gas-Liquid Flow Through Horizontal Eccentric Annuli: CFD and Experiments Compared.
    ASME-JSME-KSME Joint Fluids Engineering Conference 2011.
14. 2011 - Ozbayoglu, A Murat and H Ertan Yuksel.
    Estimation of Multiphase Flow Properties using Computational Intelligence Models.
    Procedia Computer Science, Complex Adaptive Systems, CAS 2011. Vol. 6, pp. 493–498.
15. 2010 - Osgouei, R.E, M.E Ozbayoglu, Ozbayoglu, A.M, and E Yuksel.
    Hole Cleaning Performance of Gasified Drilling Fluids in Horizontal Well Sections. Paper SPE 131378,
    SPE International Oil and Gas Conference & Exhibition.
16. 2010 - Osgouei, Reza Ettehadi, ME Ozbayoglu, Ozbayoglu, MA, and E Yuksel.
    Flow pattern identification of gas-liquid flow through horizontal annular geometries. Paper SPE 129123,
    SPE oil and gas conference and exhibition, Mumbai, India.
17. 2010 - Ozbayoglu, Mehmet Evren, Reza Ettehadi Osgouei, Ozbayoglu, Ahmet, Ertan Yuksel.
    Estimation of very-difficult-to-identify data for hole cleaning, cuttings transport and pressure drop estimation in directional and horizontal drilling.
    IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition. Society of Petroleum Engineers.
18. 2009 - Ozbayoglu, EM and Ozbayoglu, MA.
    Estimating flow patterns and frictional pressure losses of two-phase fluids in horizontal wellbores using artificial neural networks.
    Petroleum Science and Technology 27.2, pp. 135-149.
19. 2008 - Ozbayoglu, A.Murat, Z Aydiner, C Kasnakoglu, and M.E. Ozbayoglu.
    Neural network and genetic programming in pressure loss estimation in eccentric pipe flow.
    Intelligent Engineering Systems Through Artificial Neural Networks. ASME, pp. 163–170.
20. 2007 - Ozbayoglu, AM, ME Ozbayoglu
    Using Neural Networks For Flow Pattern And Frictional Loss Estimation For Aerated Drilling Fluids.
    Canadian International Petroleum Conference. Petroleum Society of Canada.
21. 2007 - Ozbayoglu, M.Evren and Ozbayoglu, A.Murat.
    Flow pattern and frictional-pressure-loss estimation using neural networks for UBD operations.
    IADC/SPE Managed Pressure Drilling & Underbalanced Operations.
22. 2006 - Strauss, H, Ozbayoglu, A.M, and M.E Ozbayoglu.
    Estimation of Foam Stability Properties Using Image Processing and Artificial Neural Networks.
    5th North American Conference on Multiphase Technology.

Big Data / Internet of Things

1. 2018 - A.C. Onal, O.B. Sezer, M. Ozbayoglu, E. Dogdu
   MIS-IoT: Modular Intelligent Server Based Internet of Things Framework with Big Data and Machine Learning
   IEEE International Conference on Big Data, 2018, 10-13 December 2018, Seattle, WA, USA.
2. 2018 - Erdogan Dogdu, Murat Ozbayoglu, Ali Yazici, Ziya Karakaya
   Perceptions, Expectations and Implementations of Big Data in Public Sector
   UBMK'18, International Conference on Computer Engineering, pp. 615-620, 20-23 September 2018, Sarajevo, Bosnia-Herzegovina
3. 2018 - Ömer Berat Sezer, Erdoğan Doğdu, A. Murat Ozbayoglu
   Context Aware Computing, Learning and Big Data in Internet of Things: A Survey
   IEEE Internet of Things Journal, volume 5, Issue 1, February 2018, pp. 1-27
4. 2017 - Özbayoğlu, A.M.
   Big and Open Data Analytics with Deep Learning, pp. 115-130
   In: Big Data and Open Data Analytics: Methods and Applications, Editors: Şeref Sağıroğlu, Orhan Koç, Grafiker Publishing, ISBN: 978-605-9247-59-7, October 2017.
5. 2016 - M. Akif, Agca, Senol Atac, M. Mert Yucesan, Gokhan Y. Kucukayan, A. Murat Özbayoglu and Erdogan Dogdu.
   Opinion Mining of Microblog Texts on Hadoop Ecosystem.
   International Journal of Cloud Computing, vol 5, No:1-2, pp. 79-90.
6. 2017 - A.C. Onal, O.B. Sezer, M. Ozbayoglu, E. Dogdu
   Weather Data Analysis and Sensor Fault Detection using an Extended IoT Framework with Semantics, Big Data, and Machine Learning
   IEEE International Conference on Big Data, 2017, 13-15 December, Boston, MA, USA.
7. 2016 - O.B. Sezer, E. Dogdu, M. Ozbayoglu, A.C. Onal
   An Extended IoT Framework with Semantics, Big Data, and Analytics
   IEEE International Conference on Big Data, 2016, pp.1849-1856. 5-8 December. Washington, DC, USA.
8. 2016 - S. Kulcu, E. Doğdu, M. Ozbayoglu
   A Survey on Semantic Web and Big Data Technologies for Social Network Analysis
   IEEE International Conference on Big Data, 2016, pp.1768-1777. 5-8 December. Washington, DC, USA.
9. 2016 - M. Ozbayoglu, G. Küçükayan, E. Doğdu
   A Real-Time Autonomous Highway Accident Detection Model Based on Big Data Processing and Computational Intelligence
   IEEE International Conference on Big Data, 2016, pp. 1807-1813. 5-8 December. Washington, DC, USA.
10. 2015 - J. Karimov, M. Ozbayoglu
    High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm
    IEEE International Conference on Big Data, 2015, in press. 29 October-1 November. Santa Clara, CA, USA.
11. 2015 - Karimov, J., M. Ozbayoglu, and E. Dogdu.
    k-means Performance Improvements with Centroid Calculation Heuristics both for Serial and Parallel environments.
    2015 IEEE Big Data Congress. 27 June-2 July. New York, USA.

Estimation of coal properties / Coal gasification process optimization

1. 2013 - AM Ozbayoglu, C Kasnakoglu, A Gungor, A Biyikoglu, and BZ Uysal.
   A Two-Stage Water-Gas Shift Reactor Model To Obtain Desired Synthesis Gas Characteristics With Adjustable Reactor Parameters.
   Journal of The Faculty of Engineering And Architecture of Gazi University 28.2, pp. 339-351.
2. 2012 - Ozbayoglu, A.Murat, M.Evren Ozbayoglu, and Gulhan Ozbayoglu.
   Comparison of Gross Calorific Value Estimation of Turkish Coals using Regression and Neural Networks Techniques.
   XXVIth International Mineral Processing Congress (IMPC 2012).
3. 2012 - Gungor, Afsin, Ozbayoglu, Murat, Kasnakoglu, Cosku, Biyikoglu, Atilla and Uysal, Bekir Zuhtu.
   A parametric study on coal gasification for the production of syngas
   Chemical Papers 66.7,pp. 677-683.
4. 2012 - Ozbayoglu, A.Murat, M.Evren Ozbayoglu, and Gulhan Ozbayoglu.
   Regression Techniques and Neural Network for the Estimation of Gross Calorific Value of Turkish Coals.
   XIIth International Mineral Processing Symposium, September 24-27. New Delhi, India, pp. 1175–1180.
5. 2011 - A. Güngör, A.M Ozbayoglu, C. Kasnakoglu, A. Biyikoglu, and B.Z Uysal.
   Determination of Air/Fuel and Steam/Fuel Ratio for Coal Gasification Process to Produce Synthesis Gas.
   Journal of Environmental Science and Engineering vol. 5.5, pp. 799–804, June 2011.
6. 2010 - Bıyıkoglu, Atilla, Afsin Güngör, Cosku Kasnakoglu, Özbayoglu, Murat, and Zühtü Uysal.
   Effect of Operation Parameters on Gasification For The Production of Synthesis Gas.
   27th Annual International Pittsburgh Coal Conference.
7. 2010 - Özbayoglu, A.M., M.E. Özbayoglu, and G. Özbayoglu.
   Regression Techniques and Neural Network for the Estimation of Gross Calorific Value of Turkish Coals.
   XIIth International Mineral Processing Symposium, Cappadocia-Nevsehir, Turkey.
8. 2010 - Ozbayoglu, Murat, Cosku Kasnakoglu, Afsin Gungor, Atilla Biyikoglu, and Bekir Zuhtu Uysal.
   An Analysis of Water Gas-Shift Reactor Battery System for Synthesis Gas Refinement.
   11th International Combustion Symposium.
9. 2010 - Gungor, Afsin, Ozbayoglu, Murat, Cosku Kasnakoglu, Atilla Biyikoglu, and Bekir Zuhtu Uysal.
   Determination of Air/Fuel and Steam/Fuel ratio for Coal Gasification process to produce Synthesis Gas.
   2nd International Conference on Nuclear and Renewable Energy Sources.
10. 2008 - Özbayoglu, A.M. and G. Özbayoglu.
    Hardgrove Grindability Index Estimation using Neural Networks”,
    International Mineral Processing Symposium (IMPS 2008). International Mineral Processing Symposium (IMPS 2008), Antalya, Turkey.
11. 2008 - Özbayoglu, Gülhan, Özbayoglu, A Murat, and Özbayoglu, M Evren.
    Estimation of Hardgrove grindability index of Turkish coals by neural networks.
    International Journal of Mineral Processing 85.4, pp. 93-100.

Intelligent Traffic Management

1. 2018 - Selim Sefa Sarikan, Murat Ozbayoglu
   Anomaly Detection in Vehicle Traffic with Image Processing and Machine Learning
   Complex Adaptive Systems 2018, Procedia Computer Science, vol 140, pp. 64-69, 5-7 November 2018, Chicago, USA
2. 2017 - S.S. Sarikan, A.M. Ozbayoglu, O. Zilci
   Automated Vehicle Classification with Image Processing and Computational Intelligence
   Procedia - Computer Sciences - Complex Adaptive Systems, vol 114, pp. 515-522, 30 October-1 November, Chicago, IL, USA, 2017.
3. 2016 - M. Ozbayoglu, G. Küçükayan, E. Doğdu
   A Real-Time Autonomous Highway Accident Detection Model Based on Big Data Processing and Computational Intelligence
   IEEE International Conference on Big Data, 2016, pp. 1807-1813. 5-8 December. Washington, DC, USA.

Archeological Tablet Image Analysis

1. 2017 - Adalı, S.F., Demirci, M.F., Özbayoğlu, A.M.
   Automated Image Matching and New Readings for Cyrus the Great's 547 BC Campaign in the Nabonidus Chronicle (BM 35382 = ABC 7).
   Die Welt des Orients, vol 47, No:2, pp. 153-185.
2. 2014 - Selim F. Adalı, M. Fatih Demirci, A. Murat Özbayoglu and Oguz Ergin.
   Why the Names? Anubanini and His Clan in the Cuthaean Legend.
   Journal of the Ancient History and Cultures of the Eastern Mediterranean vol. 11, pp. 15–29.
3. 2013 - Selim F., Adali, M. Fatih Demirci, A. Murat Özbayoglu, and Mustafa Uçar.
   Towards the Automated Autograph and the Recognition of Cuneiform Signs: Preliminary Results 2013. Law and (Dis)order in the Ancient Near East
   59th Rencontre Assyriologique Internationale, July 15- 19, Ghent University

Menu Optimization

1. 2020 - Jeyhun Karimov, Murat Ozbayoglu, Bulent Tavli, Erdoğan Doğdu
   Menu Optimization for Multi-Profile Customer Systems on Large Scale Data
   submitted to Computational Economics
2. 2015 - J. Karimov, M. Ozbayoglu
   Clustering Quality Improvement of K-means Using a Hybrid Evolutionary Model
   Procedia - Computer Sciences - Complex Adaptive Systems, Vol. 61, pp.38-45. 2-4 November. San Jose, CA, USA.
3. 2015 - J. Karimov, M. Ozbayoglu
   High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm
   IEEE International Conference on Big Data, 2015, in press. 29 October-1 November. Santa Clara, CA, USA.
4. 2015 - J. Karimov, M. Ozbayoglu, E. Dogdu and B.Tavlı
   Generic Menu Optimization for Multi-profile Customer Systems
   IEEE International Symposium on Systems Engineering (ISSE) 2015, pp. 163-169. 28-30 September. Rome, Italy.
5. 2015 - Karimov, J., M. Ozbayoglu, and E. Dogdu.
   k-means Performance Improvements with Centroid Calculation Heuristics both for Serial and Parallel environments.
   2015 IEEE Big Data Congress. 27 June-2 July. New York, USA.

Signal/Sound/Music Processing/Classification

1. 2016 - Özbayoğlu, A.M., Yavuz, M.H.
   Algorithmic music composition with stochastic processes and genetic algorithms
   International Conference on Mathematics and Mathematics Education (ICMME-2016), Fırat University, Elazığ, Turkey, 12-14 May, 2016.
2. 2013 - Tugçi, R., B. Çelen, and Özbayoglu, A.M.
   Comparison of Classifiers for Chatter Detection.
   IEEE Sinyal Isleme ve Iletisim Uygulamaları Konferansı (SIU 2013).
3. 2012 - Guven, Erhan and Ozbayoglu, A Murat.
   Note and Timbre Classification by Local Features of Spectrogram.
   Procedia Computer Science, Complex Adaptive Systems, CAS 2012. Vol. 12. Elsevier, pp. 182–187.
4. 1995 - Enke, D, HC Lee, Ozbayoglu, AM, A Thammano, and CH Dagli.
   An Application to Speaker Identification Using SimNet.
   Intelligence Engineering Systems Through Artificial Neural Networks. Vol. 5.

Fingerprint Identification/Classification

1. 2019 - A. M. Özbayoğlu
   Unsupervised Fingerprint Classification with Directional Flow Filtering
   2019 1st International Informatics and Software Engineering Conference (UBMYK), Ankara, Turkey, 2019, pp. 1-4, doi: 10.1109/UBMYK48245.2019.8965526
2. 2005 - Özbayoglu, A.M.
   Yönsel Bant geçiren filtre ve yapay sinir agları yardımıyla otomatik parmak izi sınıflandırma ve tanıma islemi.
   II. Polis Bilisim Sempozyumu, pp. 234–237.
3. 1997 - Murat Ozbayoglu, A and CH Dagli.
   Unsupervised hierarchical fingerprint matching.
   Neural Networks, 1997., International Conference on. Vol. 3. IEEE, pp. 1439–1442.
4. 1996 - Ozbayoglu, Ahmet Murat.
   Hierarchical fingerprint identification based on an unsupervised neural network model.
   PhD thesis. Engineering Management Dept, University of Missouri-Rolla.

Human Gait Recognition with Deep Neural Networks

1. 2018 - M.S. Seyfioğlu, A.M. Ozbayoglu, S.Z. Gürbüz
   Deep Convolutional Autoencoder for Radar-Based Classification of Similar Aided and Unaided Human Activities
   IEEE Transactions on Aerospace and Electronic Systems, volume 54, Issue 4, August 2018, pp. 1709-1723
2. 2017 - Mehmet Saygın Seyfioğlu, A. Serinoz, Ahmet Murat Özbayoğlu, Sevgi Zübeyde Gürbüz
   Feature diverse hierarchical classification of human gait with CW radar for assisted living
   International Conference on Radar Systems (Radar 2017), 23-26 October. Belfast, UK, 2017.
3. 2017 - Mehmet Saygın Seyfioğlu, Sevgi Zübeyde Gürbüz, Ahmet Murat Özbayoğlu, Melda Yüksel
   Deep learning of micro-Doppler features for aided and unaided gait recognition
   IEEE 2017 Radar Conference, pp. 1125-1130. 8-12 May. Seattle, WA, USA, 2017.

Other Image/Video Processing/Classification

1. 2019 - U. Erkut, F. Bostancıoğlu, M. Erten, A. M. Özbayoğlu, E. Solak
   HSV Color Histogram Based Image Retrieval with Background Elimination
   2019 1st International Informatics and Software Engineering Conference (UBMYK), Ankara, Turkey, 2019, pp. 1-5, doi: 10.1109/UBMYK48245.2019.8965513
2. 2019 - A. Murat Ozbayoglu, Nuri Durlu, N. Kaan Caliskan
   Automated Image Analysis and Contiguity Estimation for Liquid Phase Sintered Tungsten Heavy Alloys
   arXiv preprint, arXiv:1902.05382
3. 2018 - Selim Sefa Sarikan, Murat Ozbayoglu
   Anomaly Detection in Vehicle Traffic with Image Processing and Machine Learning
   Complex Adaptive Systems 2018, Procedia Computer Science, vol 140, pp. 64-69, 5-7 November 2018, Chicago, USA
4. 2018 - Dervis Utku Ufuk, Alptekin Temizel, Ahmet Murat Ozbayoglu
   Optimized GPU Implementation of JPEG 2000 for Satellite Image Decompression
   CSE 2018, 21st IEEE International Conference on Computational Science and Enginerering, pp. 56-61, 29-31 October 2018, Bucharest, Romania
5. 2018 - D. Utku Ufuk, Ibrahim S. Acikgoz, Mustafa Teke , A. Murat Ozbayoglu,
   Satellite Image Band Registration with Dynamic Time Warping and Discrete Wavelet Transform
   IEEE Conference on Signal Processing and Communications Applications (SIU 2018), 2-5 May, Cesme, Izmir, Turkey.
6. 2017 - S.S. Sarikan, A.M. Ozbayoglu, O. Zilci
   Automated Vehicle Classification with Image Processing and Computational Intelligence
   Procedia - Computer Sciences - Complex Adaptive Systems, vol 114, pp. 515-522, 30 October-1 November, Chicago, IL, USA, 2017.
7. 2011 - Imamoglu, N, A Eresen, and Ozbayoglu, AM.
   Hierarchical rule-based neural network for multiobject classification using invariant features.
   Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on. IEEE, pp. 296–299.
8. 2009 - Imamoglu, N, A Eresen, A Yagcı, and Ozbayoglu, A.M.
   Performance Analysis of Moments in Invariant Object Classification.
   Intelligent Engineering Systems Through Artificial Neural Networks. ASME, pp. 447–454.
9. 2006 - Strauss, H, Ozbayoglu, A.M, and M.E Ozbayoglu.
   Estimation of Foam Stability Properties Using Image Processing and Artificial Neural Networks.
   5th North American Conference on Multiphase Technology.
10. 1994 - Burkett, K, Ozbayoglu, MA, and CH Dagli.
    Automated visual inspection system based on Hausdorff-Vioronoi network (HAVNET) architecture.
    Proceedings-SPIE The International Society For Optical Engineering, pp. 2344–2347.
11. 1994 - Burkett, K, Ozbayoglu, Murat A, and Cihan H Dagli.
    Automated visual inspection system based on HAVNET architecture.
    Photonics for Industrial Applications. International Society for Optics and Photonics, pp. 361–371.
12. 1993 - Rosandich, Ryan G, Ozbayoglu, Murat A, Eric W Roddiger, and Cihan H Dagli.
    Autonomous parts assembly: comparison of ART and neocognitron.
    Optical Engineering and Photonics in Aerospace Sensing. International Society for Optics and Photonics, pp. 480–490.

Text Mining / Social Network Analysis

1. 2018 - Mustafa Sari, Murat Ozbayoglu
   Classification of Turkish Documents using Paragraph Vector
   International Conference on Artificial Intelligence and Data Processing 18, 27-28 Sept 2018, Malatya, Turkey
2. 2017 - Efe Arın, Uğur Gudelek, Murat Özbayoğlu
   Quora Duplicate Query Elimination
   LTC '17, 8th Language and Technology Conference, 17-19 November, Poznan, Poland, 2017.
3. 2016 - M. Akif, Agca, Senol Atac, M. Mert Yucesan, Gokhan Y. Kucukayan, A. Murat Özbayoglu and Erdogan Dogdu.
   Opinion Mining of Microblog Texts on Hadoop Ecosystem.
   International Journal of Cloud Computing, vol 5, No:1-2, pp. 79-90.
4. 2016 - S. Kulcu, E. Doğdu, M. Ozbayoglu
   A Survey on Semantic Web and Big Data Technologies for Social Network Analysis
   IEEE International Conference on Big Data, 2016, pp.1768-1777. 5-8 December. Washington, DC, USA.

Intelligent Energy Management / Smart Grids

1. 2018 - Ugur Gudelek, Cem Cirak, Efe Arin, Erdem Sezgin, Murat Ozbayoglu and Murat Gol
   Load and PV Generation Forecast Based Cost Optimization for Nanogrids with PV and Battery
   2018 53rd International Universities Power Engineering Conference (UPEC), 4-7 September 2018, Glasgow, Scotland
2. 2016 - Güneş, U., Elbir, Ö., Özbayoğlu, A.M.
   Yapay Sinir Ağları ile Kullanıcı Profilleme ve Konfor Seviyesi Tahmini.
   International Artificial Intelligence and Data Processing Symposium (IDAP- 16), pp. 413-418, İnönü University, Malatya, Türkiye, 17-18 September, 2016.
3. 2014 - Dogdu, Erdogan, A. Murat Özbayoglu, Okan Benli, Hülya Erdener Akınç, Erdeniz Erol, Tugrul Atasoy, Ozan Gurec, and Özden Erçin.
   Ontology-based Data Modelling and Decision Support in Smart Grid Applications.
   Proc. of the 2014 IEEE International Conference on Intelligent Energy and Power Systems. IEEE. June 2-6, 2014, Kyiv, Ukraine.

Machine Learning Implementations in Computer Networks / Wireless Sensor Networks / Security

1. 2020 - M. Yılmaz, A.M. Ozbayoglu, B. Tavlı
   Efficient Computation of Wireless Sensor Network Lifetime Through Deep Neural Networks
   submitted to Wireless Networks
2. 2019 - Murat Ozbayoglu, Ayhan Akbas, Huseyin Ugur Yildiz, Bulent Tavli
   Neural Network based Instant Parameter Prediction for Wireless Sensor Network Optimization Models
   Wireless Networks, vol 25, No 6, pp. 3405-3418
3. 2018 - M. Ugur Aksu, Kemal Bicakci, M. Hadi Dilek, A. Murat Ozbayoglu
   Automated Generation of Attack Graphs Using NVD
   CODASPY '18, The 8th ACM Conference on Data and Application Security and Privacy, pp. 135-142, 19-21 March, Tempe, AZ, USA.

Neural Network Modelling with Superconductor Circuits

1. 2019 - Altay Karamüftüoğlu, Ali Bozbey, Murat Özbayoğlu
   Implementation of Neuro-inspired Arithmetic and Logic Circuits by Using Josephson Junction Based Artificial Neurons
   IEEE International Superconductive Electronics Conference, ISEC 2019, July 28, August 1, Riverside, CA.
2. 2018 - A. Bozbey, A. Karamuftuoglu, S. Razmkhah, A.M. Ozbayoglu
   Single Flux Quantum Based Ultrahigh Speed Spiking Neuromorphic Processor Architecture
   arXiv preprint, arXiv:1812.10354
3. 2017 - Altay Karamüftüoğlu, Ali Bozbey, Murat Özbayoğlu
   Development of Superconductor Integrated Logic Circuit Design with Artificial Neural Network Structure
   International Conference on Condensed Matter and Materials Science, 11-15 October, Adana, Turkey, 2017.

Other Miscellaneous Topics

1. 2020 - Ö. Meriç, A. M. Özbayoğlu
   Software Test Effort Estimation with Machine Learning
   3rd International Conference on Data Science and Applications (ICONDATA 20). June 25-28, Istanbul
2. 2015 - Y.S. Demiray, A.M. Ozbayoglu, B.K.O. Tas
   Estimation of the Number of Participants in Government Tenders with Computational Intelligence
   3rd Workshop on Social and Algorithmic Issues in Business Support (SAIBS), 2015, pp.433-437. 27-29 November. Poznan, Poland.
3. 2012 - Özbayoglu, A Murat and Recep Bozer.
   Estimation of the Burned Area in Forest Fires Using Computational Intelligence Techniques.
   Procedia Computer Science, Complex Adaptive Systems, CAS 2012. Vol. 12, pp. 282–287.
4. 2011 - Özbayoglu, A.M and I.S Kök.
   Sinyal Gücüne Baglı Bina içi Konum Tespiti Modelleri Karsılastırılması.
   Fırat Üniversitesi Elektrik-Elektronik Bilgisayar Sempozyumu (FEEB 2011), pp. 99– 104.
5. 2007 - Erten, Murat, Özbayoglu, Murat, and Bülent Tavlı.
   CS0: TOBB ETÜ’de Bilgisayar Mühendisligine Giris Dersi.
   Akademik Bilisim 2007.
6. 2007 - Özbayoglu, A.M.
   Akıllı aracıların e-saglıkta kullanımı: Hastalık teshis modelleri.
   2. E-Saglık Çalıstayı.
7. 1995 - Sönmezer, O, G Özbayoglu, Ü Atalay, Özbayoglu, M, and C. Daglı.
   Ögütme Devresinin Yapay Sinir Agları ile Modellenmesi.
   Madencilikte Bilgisayar Uygulamaları Sempozyumu, pp. 211–217.

Books

1. Akın, Ömer and Özbayoglu, A. Murat. Ayrık Matematik ve Uygulamaları - Translation of Discrete Mathematics and its Applications, 7th edition by Kenneth Rosen.
   Palme Yayıncılık., Nisan 2015

2. Yazıcı, Ali, Erdogan Dogdu, Özbayoglu, A.Murat, Y.Murat Erten, ve O. Ergin. Introduction to Java Programming (in Turkish)
   Palme Yayıncılık., 2007