Salih GÃ¼nes - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 12 from 12

2009

Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children, and Adolescents by Using Artificial Neural NetworkBayram Akdemir, BÃ¼lent Oran, Salih GÃ¼nes, Sevim Karaaslan. jms, 33(5):379-388, 2009. [doi]

Medical application of information gain-based artificial immune recognition system (IG-AIRS): Classification of microorganism speciesSadik Kara, Bekir Hakan Aksebzeci, Halife Kodaz, Salih GÃ¼nes, Esma Kaya, Hatice Ã–zbilge. eswa, 36(3):5168-5172, 2009. [doi]

Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid diseaseHalife Kodaz, Seral Ã–zsen, Ahmet Arslan, Salih GÃ¼nes. eswa, 36(2):3086-3092, 2009. [doi]

A new feature selection method on classification of medical datasets: Kernel F-score feature selectionKemal Polat, Salih GÃ¼nes. eswa, 36(7):10367-10373, 2009. [doi]

A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier systemKemal Polat, Salih GÃ¼nes. eswa, 36(1):57-64, 2009. [doi]

A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problemsKemal Polat, Salih GÃ¼nes. eswa, 36(2):1587-1592, 2009. [doi]

Usage of class dependency based feature selection and fuzzy weighted pre-processing methods on classification of macular diseaseKemal Polat, Sadik Kara, AysegÃ¼l GÃ¼ven, Salih GÃ¼nes. eswa, 36(2):2584-2591, 2009. [doi]

Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problemsSeral Ã–zsen, Salih GÃ¼nes. eswa, 36(1):386-392, 2009. [doi]

Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification ProblemsSeral Ã–zsen, Salih GÃ¼nes, Sadik Kara, Fatma Latifoglu. titb, 13(4):621-628, 2009. [doi]

2008

A New Approach to Diagnosing of Importance Degree of Obstructive Sleep Apnea Syndrome: Pairwise AIRS and Fuzzy-AIRS ClassifiersKemal Polat, Sebnem Yosunkaya, Salih GÃ¼nes. jms, 32(6):489-497, 2008. [doi]

Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea SyndromeKemal Polat, Sebnem Yosunkaya, Salih GÃ¼nes. jms, 32(3):243-250, 2008. [doi]

Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea SyndromeKemal Polat, Sebnem Yosunkaya, Salih GÃ¼nes. jms, 32(5):379-387, 2008. [doi]

Sign in or sign up to see more results.

runs on WebDSL