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Serdar Korukoglu
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Books and Theses
- 2013
- [b2]Bahadir Karasulu, Serdar Korukoglu:
Performance Evaluation Software - Moving Object Detection and Tracking in Videos. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4614-6533-1, pp. i-xv, 1-76 - 1984
- [b1]Serdar Korukoglu:
Çok parametreli bazı olasılk dağılışları ve güvenirlik teorisinde kullanılabilirlikleri (). Ege University, Turkey, 1984
Journal Articles
- 2024
- [j14]Ensar Arif Sagbas, Serdar Korukoglu, Serkan Balli:
Real-time stress detection from smartphone sensor data using genetic algorithm-based feature subset optimization and k-nearest neighbor algorithm. Multim. Tools Appl. 83(1): 1-32 (2024) - 2020
- [j13]Ensar Arif Sagbas, Serdar Korukoglu, Serkan Balli:
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques. J. Medical Syst. 44(3): 68 (2020) - 2017
- [j12]Bekir Afsar, Dogan Aydin, Aybars Ugur, Serdar Korukoglu:
Self-Adaptive and Adaptive Parameter Control in Improved Artificial Bee Colony Algorithm. Informatica 28(3): 415-438 (2017) - [j11]Aytug Onan, Serdar Korukoglu, Hasan Bulut:
A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification. Inf. Process. Manag. 53(4): 814-833 (2017) - [j10]Aytug Onan, Serdar Korukoglu:
A feature selection model based on genetic rank aggregation for text sentiment classification. J. Inf. Sci. 43(1): 25-38 (2017) - [j9]Aytug Onan, Hasan Bulut, Serdar Korukoglu:
An improved ant algorithm with LDA-based representation for text document clustering. J. Inf. Sci. 43(2): 275-292 (2017) - 2016
- [j8]Aytug Onan, Serdar Korukoglu, Hasan Bulut:
Ensemble of keyword extraction methods and classifiers in text classification. Expert Syst. Appl. 57: 232-247 (2016) - [j7]Aytug Onan, Serdar Korukoglu, Hasan Bulut:
A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification. Expert Syst. Appl. 62: 1-16 (2016) - [j6]Aytug Onan, Serdar Korukoglu, Hasan Bulut:
LDA-based Topic Modelling in Text Sentiment Classification: An Empirical Analysis. Int. J. Comput. Linguistics Appl. 7(1): 101-119 (2016) - 2014
- [j5]Serkan Balli, Serdar Korukoglu:
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players. Expert Syst. J. Knowl. Eng. 31(1): 56-69 (2014) - 2012
- [j4]Bahadir Karasulu, Serdar Korukoglu:
Moving object detection and tracking by using annealed background subtraction method in videos: Performance optimization. Expert Syst. Appl. 39(1): 33-43 (2012) - 2011
- [j3]Bahadir Karasulu, Serdar Korukoglu:
A simulated annealing-based optimal threshold determining method in edge-based segmentation of grayscale images. Appl. Soft Comput. 11(2): 2246-2259 (2011) - [j2]Bahadir Karasulu, Serdar Korukoglu:
A software for performance evaluation and comparison of people detection and tracking methods in video processing. Multim. Tools Appl. 55(3): 677-723 (2011) - 2009
- [j1]Babek Abbasov, Serdar Korukoglu:
Effective RED: An algorithm to improve RED's performance by reducing packet loss rate. J. Netw. Comput. Appl. 32(3): 703-709 (2009)
Conference and Workshop Papers
- 2018
- [c6]Serkan Balli, Ensar Arif Sagbas, Serdar Korukoglu:
Design of smartwatch-assisted fall detection system via smartphone. SIU 2018: 1-4 - [c5]Cemre Candemir, Kaya Oguz, Serdar Korukoglu, Ali Saffet Gonul:
Detection and evaluation of activation instances as change points in functional MR images. SIU 2018: 1-4 - 2016
- [c4]Aytug Onan, Serdar Korukoglu:
Exploring Performance of Instance Selection Methods in Text Sentiment Classification. CSOC (1) 2016: 167-179 - 2015
- [c3]Aytug Onan, Serdar Korukoglu:
Ensemble methods for opinion mining. SIU 2015: 212-215 - 2012
- [c2]Ilker Kalayci, Serdar Korukoglu:
Classification of Turkish Maqam music using k-means algorithm and artificial neural networks. SIU 2012: 1-4 - 2007
- [c1]Oktay Adalier, Aybars Ugur, Serdar Korukoglu, Kadir Ertas:
A New Regression Based Software Cost Estimation Model Using Power Values. IDEAL 2007: 326-334
Coauthor Index
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