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ORCIDUtku Erdogdu
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2010 – 2019
- 2017
[j3]Utku Erdogdu, Faruk Polat, Reda Alhajj:
Employing decomposable partially observable Markov decision processes to control gene regulatory networks. Artif. Intell. Medicine 83: 14-34 (2017)- 2016
- [j2]Utku Sirin
, Utku Erdogdu, Faruk Polat, Mehmet Tan, Reda Alhajj:
Effective gene expression data generation framework based on multi-model approach. Artif. Intell. Medicine 70: 41-61 (2016) - 2013
- [j1]Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Jon G. Rokne, Douglas J. Demetrick:
Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data. Int. J. Data Min. Bioinform. 8(3): 247-281 (2013) - 2012
- [b1]Utku Erdogdu:
Efficient partially observable markov decision process based formulation of gene regulatory network control problem (Gen ağlarının kısmi gözlemlenebilir markov karar süreçleri ile modellenerek etkin olarak kontrolü). Middle East Technical University, Turkey, 2012 - [c5]Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, Reda Alhajj:
Effective Enrichment of Gene Expression Data Sets. ICMLA (1) 2012: 76-81 - [c4]Utku Erdogdu, Faruk Polat, Reda Alhajj:
Partially Observable Gene Regulatory Network Control without a Boundary on Horizon. ICTAI 2012: 81-88 - 2011
- [c3]Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Douglas J. Demetrick, Jon G. Rokne:
Employing Machine Learning Techniques for Data Enrichment: Increasing the Number of Samples for Effective Gene Expression Data Analysis. BIBM 2011: 238-242 - [c2]Utku Erdogdu, Reda Alhajj, Faruk Polat:
The Benefit of Decomposing POMDP for Control of Gene Regulatory Networks. IAT 2011: 381-385
2000 – 2009
- 2006
- [c1]Utku Erdogdu, Faruk Polat:
Dynamic cooperation using resource based planning. AAMAS 2006: 329-331
Coauthor Index
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