Seda Ozmutlu, Ph.D.
Affiliations: | 2001 | Pennsylvania State University, State College, PA, United States |
Area:
Industrial Engineering, Operations ResearchGoogle:
"Seda Ozmutlu"Parents
Sign in to add mentorCatherine M. Harmonosky | grad student | 2001 | Penn State | |
(Threshold -based alternate routing policies for flexible manufacturing systems with routing flexibility and failure -prone machines.) |
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Publications
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Yilmaz Eroglu D, Ozmutlu HC, Ozmutlu S. (2014) Genetic algorithm with local search for the unrelated parallel machine scheduling problem with sequence-dependent set-up times International Journal of Production Research. 52: 5841-5856 |
Gencosman BC, Ozmutlu HC, Ozmutlu S. (2014) Character n-gram application for automatic new topic identification Information Processing and Management. 50: 821-856 |
Ozmutlu S, Ozmutlu HC, Cosar GC. (2011) Neural network applications for automatic new topic identification of FAST and Excite search engine transaction logs Expert Systems. 28: 101-122 |
Ozmutlu S. (2010) Identifying the optimal set of parameters for new topic identification through experimental design Expert Systems With Applications. 37: 7947-7968 |
Ozmutlu S, Cosar CG. (2009) Defining Topic Boundaries In Search Engine Transaction Logs Using Genetic Algorithms Applied Artificial Intelligence. 23: 910-931 |
Ozmutlu S, Cosar GC. (2008) Analyzing the results of automatic new topic identification Library Hi Tech. 26: 466-487 |
Ozmutlu S, Ozmutlu HC, Buyuk B. (2008) A Monte-Carlo simulation application for automatic new topic identification of search engine transaction logs Simulation Modelling Practice and Theory. 16: 519-538 |
Ozmutlu S, Ozmutlu HC, Buyuk B. (2007) Using conditional probabilities for automatic new topic identification Online Information Review. 31: 491-515 |
Ozmutlu HC, Cavdur F, Ozmutlu S. (2006) Automatic new topic identification in search engine transaction logs Internet Research. 16: 323-338 |
Ozmutlu S. (2006) Automatic new topic identification using multiple linear regression Information Processing and Management. 42: 934-950 |