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2020 – today
- 2022
[j25]Hüseyin Hakli
, Harun Uguz, Zeynep Ortacay:
Comparing the performances of six nature-inspired algorithms on a real-world discrete optimization problem. Soft Comput. 26(21): 11645-11667 (2022)- 2021
- [j24]Mali Mohammedhasan, Harun Uguz:
A New Deeply Convolutional Neural Network Architecture for Retinal Blood Vessel Segmentation. Int. J. Pattern Recognit. Artif. Intell. 35(1): 2157001:1-2157001:20 (2021) - [j23]Kadir Can Burçak, Ömer Kaan Baykan, Harun Uguz:
A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model. J. Supercomput. 77(1): 973-989 (2021) - 2020
- [j22]Kadir Celikmih, Onur Inan, Harun Uguz:
Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method. Sci. Program. 2020: 8616039:1-8616039:10 (2020) - [j21]Mali Mohammedhasan, Harun Uguz:
A New Early Stage Diabetic Retinopathy Diagnosis Model Using Deep Convolutional Neural Networks and Principal Component Analysis. Traitement du Signal 37(5): 711-722 (2020)
2010 – 2019
- 2019
- [j20]Mehmet Fatih Tefek, Harun Uguz:
A new hybrid gravitational search-teaching-learning-based optimization method for the solution of economic dispatch of power systems. Turkish J. Electr. Eng. Comput. Sci. 27(4): 2962-2979 (2019) - [j19]Mehmet Fatih Tefek, Harun Uguz, Mehmet Güçyetmez:
A new hybrid gravitational search-teaching-learning-based optimization method for energy demand estimation of Turkey. Neural Comput. Appl. 31(7): 2939-2954 (2019) - 2018
- [j18]Hüseyin Hakli, Harun Uguz, Tayfun Cay:
Genetic algorithm supported by expert system to solve land redistribution problem. Expert Syst. J. Knowl. Eng. 35(6) (2018) - 2017
- [j17]Hüseyin Hakli, Harun Uguz:
A novel approach for automated land partitioning using genetic algorithm. Expert Syst. Appl. 82: 10-18 (2017) - 2016
- [j16]Hüseyin Hakli, Harun Uguz, Tayfun Cay:
A new approach for automating land partitioning using binary search and Delaunay triangulation. Comput. Electron. Agric. 125: 129-136 (2016) - 2015
- [j15]Mustafa Servet Kiran, Hüseyin Hakli, Mesut Gündüz, Harun Uguz:
Artificial bee colony algorithm with variable search strategy for continuous optimization. Inf. Sci. 300: 140-157 (2015) - 2014
- [j14]Hüseyin Hakli, Harun Uguz:
A novel particle swarm optimization algorithm with Levy flight. Appl. Soft Comput. 23: 333-345 (2014) - [j13]Gür Emre Güraksin, Hüseyin Hakli, Harun Uguz:
Support vector machines classification based on particle swarm optimization for bone age determination. Appl. Soft Comput. 24: 597-602 (2014) - 2012
- [j12]Harun Uguz:
A hybrid system based on information gain and principal component analysis for the classification of transcranial Doppler signals. Comput. Methods Programs Biomed. 107(3): 598-609 (2012) - [j11]Harun Uguz:
A Biomedical System Based on Artificial Neural Network and Principal Component Analysis for Diagnosis of the Heart Valve Diseases. J. Medical Syst. 36(1): 61-72 (2012) - [j10]Harun Uguz:
Detection of Carotid Artery Disease by Using Learning Vector Quantization Neural Network. J. Medical Syst. 36(2): 533-540 (2012) - [j9]Harun Uguz:
Adaptive neuro-fuzzy inference system for diagnosis of the heart valve diseases using wavelet transform with entropy. Neural Comput. Appl. 21(7): 1617-1628 (2012) - 2011
- [j8]Harun Uguz, Gür Emre Güraksin, Uçman Ergün, Ridvan Saraçoglu:
Biomedical system based on the Discrete Hidden Markov Model using the Rocchio-Genetic approach for the classification of internal carotid artery Doppler signals. Comput. Methods Programs Biomed. 103(1): 51-60 (2011) - [j7]Harun Uguz, Halife Kodaz:
Classification of internal carotid artery Doppler signals using fuzzy discrete hidden Markov model. Expert Syst. Appl. 38(6): 7407-7414 (2011) - [j6]Harun Uguz:
A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm. Knowl. Based Syst. 24(7): 1024-1032 (2011) - 2010
- [j5]Harun Uguz, Ahmet Arslan:
A new approach based on discrete hidden Markov model using Rocchio algorithm for the diagnosis of the brain diseases. Digit. Signal Process. 20(3): 923-934 (2010) - [c1]Harun Uguz, Halife Kodaz:
Classification of Internal Carotid Artery Doppler Signals Using Hidden Markov Model and Wavelet Transform with Entropy. IAIT 2010: 183-191
2000 – 2009
- 2008
- [j4]Harun Uguz, Ahmet Arslan:
A new approach based on a discrete hidden Markov model using the Rocchio algorithm for the diagnosis of heart valve diseases. Expert Syst. J. Knowl. Eng. 25(5): 504-513 (2008) - [j3]Harun Uguz, Ahmet Arslan, Ridvan Saraçoglu, Ibrahim Türkoglu:
Detection of heart valve diseases by using fuzzy discrete hidden Markov model. Expert Syst. Appl. 34(4): 2799-2811 (2008) - [j2]Harun Uguz, Ali Öztürk, Ridvan Saraçoglu, Ahmet Arslan:
A biomedical system based on fuzzy discrete hidden Markov model for the diagnosis of the brain diseases. Expert Syst. Appl. 35(3): 1104-1114 (2008) - 2007
- [b1]Harun Uguz:
Saklı Markov model tabanlı sınıflandırıcıların geliştirilemesi (Improvement of hidden Markov model based classifiers). Selçuk University, Turkey, 2007 - [j1]Harun Uguz, Ahmet Arslan, Ibrahim Türkoglu:
A biomedical system based on hidden Markov model for diagnosis of the heart valve diseases. Pattern Recognit. Lett. 28(4): 395-404 (2007)
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