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Y
Yücel, G., "The actor-option framework: a general framework for modelling socio-technical systems in transitions", Infranomics: Sustainability, Engineering Design and Governance, vol. 24, Cham, Springer International Publishing, pp. 407–418, 2013.
Yücel, G., and Y. Barlas, "Automated parameter specification in dynamic feedback models based on behavior pattern features", System Dynamics Review, vol. 27, no. 2: Wiley Online Library, pp. 195–215, 2011.
V
Valkering, P., G. Yücel, E. Gebetsroither-Geringer, K. Markvica, E. Meynaerts, and N. Frantzeskaki, "Accelerating Transition Dynamics in City Regions: A Qualitative Modeling Perspective", Sustainability, vol. 9, pp. 1254, 2017.
T
Tuncel, K. Sinan, and M. Gokce Baydogan, "Autoregressive forests for multivariate time series modeling", Pattern Recognition, vol. 73, pp. 202 - 215, 2018.
S
S, M., and H. Yaşarcan, "The Analysis of Characteristic Dynamics of Stock Management Structure with a First Order Supply Line Delay", 34th International Conference of the System Dynamics Society, Delft, the Netherlands, 2016.
O
Oommen, J., K. I. Altinel, and N. Aras, "Arbitrary distance function estimation using vector quantization", International Symposium on Neural Networks, 1995.
Oommen, J., K. I. Altinel, and N. Aras, "Arbitrary distance function estimation using discrete vector quantization", Neural Networks, 1997., International Conference on, vol. 2: IEEE, pp. 1272–1277, 1997.
Ö
Öncan, T., Z. Şuvak, H. M. Akyüz, and K. I. Altinel, "Assignment problem with conflicts", Computers & Operations Research, vol. 111, pp. 214-229, 2019.
M
Milanič, M., A. Hujdurović, D. Gözüpek, and T. Ekim, "On Almost Well-Covered Graphs of Girth at Least 6", Discrete Mathematics & Theoretical Computer Science, vol. 20, 2018.
L
Leydold, J., and W. Hörmann, "The automatic generation of one- and multi-dimensional distributions with transformed density rejection", Proceedings of the 15th IMACS World-Congress, Berlin, Vol 2, pp. 757–760, 1997.
Leydold, J., G. Derflinger, G. Tirler, and W. Hörmann, "An Automatic Code Generator for Nonuniform Random Variate Generation", Mathematics and Computers in Simulation, vol. 62, no. 3–6, pp. 405–412, 2003.
K
Korugan, A., and S. M. Gupta, "An Adaptive CONWIP Mechanism for Hybrid Production Systems", International Journal of Advanced Manufacturing Technology, vol. 74, pp. 715–727, 2014.
H
Hörmann, W., "Algorithm 802: An Automatic Generator for Bivariate Log-Concave Distributions", ACMTOMS, vol. 26, no. 1, pp. 201–219, 2000.
Hörmann, W., and J. Leydold, "Automatic Random Variate Generation for Simulation Input", Proceedings of the 2000 Winter Simulation Conference, pp. 675–682, 2000.
Hörmann, W., and G. Derflinger, "The ACR method for generating normal random variables", OR Spektrum, vol. 12, no. 3, pp. 181–185, 1990.
Hörmann, W., and G. Derflinger, "An automatic generator for a large class of unimodal discrete distributions", ESM 97, pp. 139–144, 1997.
Hörmann, W., J. Leydold, and G. Derflinger, Automatic Nonuniform Random Variate Generation, , Berlin Heidelberg, Springer-Verlag, 2004.
G
Gonzalez-Sanchez, J., M. Gokce Baydogan, M. Elena Chavez-Echeagaray, R. K. Atkinson, and W. Burleson, "Affect measurement: A roadmap through approaches, technologies, and data analysis", Emotions and Affect in Human Factors and Human-Computer Interaction: Elsevier, pp. 255–288, 2017.
Gonzalez-Sanchez, J., M. Elena Chavez-Echeagaray, L. Lin, M. Gokce Baydogan, R. Christopherson, D. Gibson, R. Atkinson, and W. Burleson, "Affect Recognition in Learning Scenarios: Matching Facial-and BCI-Based Values", 13th IEEE International Conference on Advanced Learning Technologies (ICALT'13): IEEE, 2013.
E
Ekşioğlu, M., and J. E. Fernandez, "Artificial neural network-based prediction models for determiing maximum acceptable frequency of a drilling task", Advances in Applied Ergonomics (1st International Conference on Applied Ergonomics): USA Publishing, pp. 646–649, 1996.
Ekşioğlu, M., and K. Kızılaslan, "Automobile drivers’ steering force characteristics", Proceedings of 37th International Conference on Computers and Industrial Engineering, no. 590-594, 2007.
Ekşioğlu, M., J. E. Fernandez, and J. M. Twomey, "An artificial neural network (ANN)", Advances in Industrial Ergonomics and Safety VII (Proceedings of the Tenth Annual International Industrial Ergonomics and Safety Conference): Taylor & Francis, pp. 577–584, 1995.
Ekim, T., and V. Th Paschos, "Approximation preserving reductions for set covering, vertex covering and independent set hierarchies under differential approximationa", International Journal of Computer Mathematics, vol. 81, no. 5: Taylor & Francis Group, pp. 569–582, 2004.
Edali, M., and G. Yücel, "Analysis of an individual-based influenza epidemic model using random forest metamodels and adaptive sequential sampling", Systems Research and Behavioral Science, vol. 37, pp. 936-958, 2020.
Edali, M., and G. Yücel, "Automated Analysis of Regularities Between Model Parameters and Output Using Support Vector Regression in Conjunction with Decision Trees", Journal of Artificial Societies and Social Simulation, vol. 21, pp. 1, 2018.
D
Derflinger, G., and W. Hörmann, "Asymptotically Optimal Design Points for Rejection Algorithms", Communications in Statistics: Simulation and Computation, vol. 34, no. 4, pp. 879-893, 2005.
Demange, M., T. Ekim, D. de Werra, and , "On the approximation of Min Split-coloring and Min Cocoloring.", J. Graph Algorithms Appl., vol. 10, no. 2, pp. 297–315, 2006.
C
Canakoğlu, E., and T. Bilgiç, "Analysis of a two-stage telecommunication supply chain with technology dependent demand", European Journal of Operational Research, vol. 177, no. 2: North-Holland, pp. 995–1012, 2007.
B
Bilge, Ü., and JMA. Tanchoco, "AGV systems with multi-load carriers: basic issues and potential benefits", Journal of manufacturing systems, vol. 16, no. 3: Elsevier, pp. 159–174, 1997.
A
Akdemir, A., and T. Ekim, "Advances on defective parameters in graphs", Discrete Optimization, vol. 16, pp. 62-69, 2015.