| A comprehensive analysis of hyper-heuristics E Özcan, B Bilgin, EE Korkmaz Intelligent data analysis 12 (1), 3-23, 2008 | 363 | 2008 |
| An experimental study on hyper-heuristics and exam timetabling B Bilgin, E Özcan, EE Korkmaz Practice and Theory of Automated Timetabling VI: 6th International …, 2007 | 199 | 2007 |
| Hill climbers and mutational heuristics in hyperheuristics E Özcan, B Bilgin, EE Korkmaz International Conference on Parallel Problem Solving from Nature, 202-211, 2006 | 97 | 2006 |
| Combining advantages of new chromosome representation scheme and multi-objective genetic algorithms for better clustering EE Korkmaz, J Du, R Alhajj, K Barker Intelligent Data Analysis 10 (2), 163-182, 2006 | 63 | 2006 |
| Linear linkage encoding in grouping problems: applications on graph coloring and timetabling Ö Ülker, E Özcan, EE Korkmaz Practice and Theory of Automated Timetabling VI: 6th International …, 2007 | 61 | 2007 |
| A grouping genetic algorithm using linear linkage encoding for bin packing Ö Ülker, EE Korkmaz, E Özcan International Conference on Parallel Problem Solving from Nature, 1140-1149, 2008 | 29 | 2008 |
| A two-level clustering method using linear linkage encoding EE Korkmaz International conference on parallel problem solving from nature, 681-690, 2006 | 27 | 2006 |
| Multi-objective genetic algorithms for grouping problems EE Korkmaz Applied Intelligence 33, 179-192, 2010 | 25 | 2010 |
| Genetic programming for grammar induction EE Korkmaz, G Uçoluk Proceedings of 2001 Genetic and Evolutionary Computation Conference Late …, 2001 | 24 | 2001 |
| Videolization: knowledge graph based automated video generation from web content M Kalender, MT Eren, Z Wu, O Cirakman, S Kutluk, G Gultekin, ... Multimedia tools and applications 77, 567-595, 2018 | 19 | 2018 |
| Alternative clustering by utilizing multi-objective genetic algorithm with linked-list based chromosome encoding J Du, EE Korkmaz, R Alhajj, K Barker Machine Learning and Data Mining in Pattern Recognition: 4th International …, 2005 | 16 | 2005 |
| Neural network world: A neural network based selection method for genetic algorithms C Yalkın, EE Korkmaz Neural Network World 6 (12), 495-510, 2012 | 12 | 2012 |
| A controlled genetic programming approach for the deceptive domain EE Korkmaz, G Uçoluk IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 11 | 2004 |
| Primum non nocere: In silico prediction of adverse drug reactions of antidepressant drugs SS Güneş, Ç Yeşil, EE Gurdal, EE Korkmaz, M Yarım, A Aydın, H Sipahi Computational Toxicology 18, 100165, 2021 | 10 | 2021 |
| A solution to the classification problem with cellular automata AO Uzun, T Usta, EB Dündar, EE Korkmaz Pattern Recognition Letters 116, 114-120, 2018 | 10 | 2018 |
| An application of genetic programming to the 4-OP problem using map-trees T Aytekin, EE Korkmaz, HA Güvenir Workshop on Evolutionary Computation, 28-40, 1993 | 10 | 1993 |
| Turkish entity discovery with word embeddings M Kalender, EE Korkmaz Turkish Journal of Electrical Engineering and Computer Sciences 25 (3), 2388 …, 2017 | 8 | 2017 |
| Method for Improving Automatic Word Categorization EE Korkmaz, G Ucoluk CoNLL97: Computational Natural Language Learning, 1997 | 8 | 1997 |
| Hybrid machine learning method for a connectivity-based epilepsy diagnosis with resting-state EEG B Rijnders, EE Korkmaz, F Yildirim Medical & Biological Engineering & Computing 60 (6), 1675-1689, 2022 | 7 | 2022 |
| Data clustering with stochastic cellular automata EB Dündar, EE Korkmaz Intelligent Data Analysis 22 (4), 735-750, 2018 | 7 | 2018 |
