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ORCIDEmin Erkan Korkmaz
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2020 – today
- 2024
[c21]Ufuk Ilke Avei, Dionysis Goularas, Emin Erkan Korkmaz, Baris Deveci:
Information Extraction from Scanned Invoice Documents Using Deep Learning Methods. IPTA 2024: 1-6- 2023
- [j12]Cagri Yesil
, Emin Erkan Korkmaz:
A novel cellular automata-based approach for generating convolutional filters. Mach. Vis. Appl. 34(3): 38 (2023) - 2022
- [j11]Hilal Özer, Emin Erkan Korkmaz:
Transmorph: a transformer based morphological disambiguator for Turkish. Turkish J. Electr. Eng. Comput. Sci. 30(5): 1897-1913 (2022) - [j10]Berjo Rijnders, Emin Erkan Korkmaz, Funda Yildirim:
Hybrid machine learning method for a connectivity-based epilepsy diagnosis with resting-state EEG. Medical Biol. Eng. Comput. 60(6): 1675-1689 (2022)
2010 – 2019
- 2019
- [c20]Tugba Usta, Enes Burak Dündar, Emin Erkan Korkmaz:
A Cellular Automata based Classification Algorithm. ICPRAM 2019: 155-162 - 2018
- [j9]Enes Burak Dündar, Emin Erkan Korkmaz:
Data clustering with stochastic cellular automata. Intell. Data Anal. 22(4): 735-750 (2018) - [j8]Murat Kalender, M. Tolga Eren, Zonghuan Wu, Ozgun Cirakman, Sezer Kutluk, Günay Gültekin, Emin Erkan Korkmaz:
Videolization: knowledge graph based automated video generation from web content. Multim. Tools Appl. 77(1): 567-595 (2018) - [j7]Arif Orhun Uzun, Tugba Usta, Enes Burak Dündar, Emin Erkan Korkmaz:
A solution to the classification problem with cellular automata. Pattern Recognit. Lett. 116: 114-120 (2018) - [j6]Murat Kalender, Emin Erkan Korkmaz:
THINKER - Entity Linking System for Turkish Language. IEEE Trans. Knowl. Data Eng. 30(2): 367-380 (2018) - 2017
- [j5]Murat Kalender, Emin Erkan Korkmaz:
Turkish entity discovery with word embeddings. Turkish J. Electr. Eng. Comput. Sci. 25: 2388-2398 (2017) - 2012
- [c19]Cagri Yesil, Hasan Turkyilmaz, Emin Erkan Korkmaz:
A new hybrid local search algorithm on Bin Packing problem. HIS 2012: 161-166 - [c18]Ismail Ugur Bayindir, Engin Mercan, Emin Erkan Korkmaz:
A hybrid Multi-Objective Genetic Algorithm for Bandwidth Multi-Coloring Problem. HIS 2012: 207-212 - 2011
- [c17]Cagri Yesil, Buse Yilmaz, Emin Erkan Korkmaz:
Hybrid local search algorithms on Graph Coloring Problem. HIS 2011: 468-473 - 2010
- [j4]Emin Erkan Korkmaz:
Multi-objective Genetic Algorithms for grouping problems. Appl. Intell. 33(2): 179-192 (2010) - [c16]Buse Yilmaz, Emin Erkan Korkmaz:
Representation issue in graph coloring. ISDA 2010: 1171-1176
2000 – 2009
- 2008
- [j3]Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz:
A comprehensive analysis of hyper-heuristics. Intell. Data Anal. 12(1): 3-23 (2008) - [c15]Özgür Ülker, Emin Erkan Korkmaz, Ender Özcan:
A Grouping Genetic Algorithm Using Linear Linkage Encoding for Bin Packing. PPSN 2008: 1140-1149 - 2006
- [j2]Emin Erkan Korkmaz, Jun Du, Reda Alhajj, Ken Barker:
Combining advantages of new chromosome representation scheme and multi-objective genetic algorithms for better clustering. Intell. Data Anal. 10(2): 163-182 (2006) - [c14]Emin Erkan Korkmaz, Reda Alhajj, Ken Barker:
Effective Clustering of High-Dimensional Data. ICDM (Posters) 2006: 91-100 - [c13]Özgür Ülker, Ender Özcan, Emin Erkan Korkmaz:
Linear Linkage Encoding in Grouping Problems: Applications on Graph Coloring and Timetabling. PATAT 2006: 347-363 - [c12]Burak Bilgin, Ender Özcan, Emin Erkan Korkmaz:
An Experimental Study on Hyper-heuristics and Exam Timetabling. PATAT 2006: 394-412 - [c11]Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz:
Hill Climbers and Mutational Heuristics in Hyperheuristics. PPSN 2006: 202-211 - [c10]Emin Erkan Korkmaz:
A Two-Level Clustering Method Using Linear Linkage Encoding. PPSN 2006: 681-690 - 2005
- [c9]Janaki Gopalan, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker:
Effective data mining by integrating genetic algorithm into the data preprocessing phase. ICMLA 2005 - [c8]Jun Du, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker:
Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding. MLDM 2005: 346-355 - 2004
- [j1]Emin Erkan Korkmaz, Göktürk Üçoluk:
A controlled genetic programming approach for the deceptive domain. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1730-1742 (2004) - [c7]Jun Du, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker:
Novel Clustering That Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives. DaWaK 2004: 219-228 - 2003
- [b1]Emin Erkan Korkmaz:
Controlled genetic programming search for solving deceptive problems (Aldatıcı problemleri çözebilmek için kontrollü evrimsel programlama). Middle East Technical University, Turkey, 2003 - [c6]Emin Erkan Korkmaz, Göktürk Üçoluk:
Design and Usage of a New Benchmark Problem for Genetic Programming. ISCIS 2003: 561-567 - 2002
- [c5]Emin Erkan Korkmaz, Göktürk Üçoluk:
Controlled Genetic Programming Search for Solving Deceptive Problems. GECCO Late Breaking Papers 2002: 295-300 - [c4]Emin Erkan Korkmaz, Göktürk Üçoluk:
Controlling The Genetic Programming Search. GECCO 2002: 891
1990 – 1999
- 1998
- [c3]Emin Erkan Korkmaz, Göktürk Üçoluk:
Choosing a Distance Metric for Automatic Word Categorization. CoNLL 1998: 111-120 - 1997
- [c2]Emin Erkan Korkmaz, Göktürk Üçoluk:
Method for Improving Automatic Word Categorization. CoNLL 1997: 43-49 - 1994
- [c1]Tevfik Aytekin, Emin Erkan Korkmaz, H. Altay Güvenir:
An Application of Genetic Programming to the 4-Op Problem Using Map-Trees. Evo Workshops 1994: 28-40
Coauthor Index
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last updated on 2024-12-03 21:20 CET by the dblp team
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