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ORCIDYusuf Kavurucu
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2010 – 2019
- 2018
[j8]Muhammed Abdurrahman Hazar, Niyazi Odabasioglu, Tolga Ensari
, Yusuf Kavurucu, O. F. Sayan:
Performance analysis and improvement of machine learning algorithms for automatic modulation recognition over Rayleigh fading channels. Neural Comput. Appl. 29(9): 351-360 (2018)- 2017
- [c10]Talha Yilmaz, Pinar Karagoz, Yusuf Kavurucu:
Exploring what makes it a POI. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2015
- [j7]Yusuf Kavurucu:
A comparative study on network motif discovery algorithms. Int. J. Data Min. Bioinform. 11(2): 180-204 (2015) - [c9]Muhammed Abdurrahman Hazar, Niyazi Odabasioglu, Tolga Ensari, Yusuf Kavurucu:
Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition. ICONIP (1) 2015: 208-215 - 2013
- [j6]Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci:
A scalable method for discovering significant subnetworks. BMC Syst. Biol. 7(S-4): S3 (2013) - [c8]Alev Mutlu, Pinar Karagoz, Yusuf Kavurucu:
A Counting-Based Heuristic for ILP-Based Concept Discovery Systems. HAIS 2013: 171-180 - 2012
- [j5]Alev Mutlu, Pinar Senkul, Yusuf Kavurucu:
Improving the scalability of ILP-based multi-relational concept discovery system through parallelization. Knowl. Based Syst. 27: 352-368 (2012) - [j4]Seyedsasan Hashemikhabir, Eyüp Serdar Ayaz, Yusuf Kavurucu, Tolga Can, Tamer Kahveci:
Large-Scale Signaling Network Reconstruction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1696-1708 (2012) - [c7]Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci:
SiS: Significant subnetworks in massive number of network topologies. BIBM 2012: 1-6 - 2011
- [j3]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
A comparative study on ILP-based concept discovery systems. Expert Syst. Appl. 38(9): 11598-11607 (2011) - [c6]Alev Mutlu, Pinar Senkul, Yusuf Kavurucu:
MPI-based Parallelization for ILP-based Multi-relational Concept Discovery. ICMLA (1) 2011: 59-62 - 2010
- [j2]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
Concept discovery on relational databases: New techniques for search space pruning and rule quality improvement. Knowl. Based Syst. 23(8): 743-756 (2010)
2000 – 2009
- 2009
- [b1]Yusuf Kavurucu:
An ILP-based concept discovery system for multi-relational data mining ; Çok ilişkili veri madenciliği için tümevaran mantıksal programlama tabanlı konsept tanımlama sistemi. Middle East Technical University, Çankaya, Ankara, Turkey, 2009 - [j1]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
ILP-based concept discovery in multi-relational data mining. Expert Syst. Appl. 36(9): 11418-11428 (2009) - [c5]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
Confidence-Based Concept Discovery in Relational Databases. CSIE (4) 2009: 282-286 - [c4]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
Analyzing Transitive Rules on a Hybrid Concept Discovery System. HAIS 2009: 227-234 - [c3]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
Multi-relational concept discovery with aggregation. ISCIS 2009: 248-253 - 2008
- [c2]Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining. IADIS European Conf. Data Mining 2008: 43-52 - 2007
- [c1]Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, Ismail Hakki Toroslu:
A New ILP-based Concept Discovery Method for Business Intelligence. ICDE Workshops 2007: 962-969
Coauthor Index
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