Volkan Uslan

Akademik Profiller

1. 1
   Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding AffinityIEEE Access
   2019
2. 2
   A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
   2017
3. 3
   Texture-based characterization of subskin features by specified laser speckle effects at λ = 650 nm region for more accurate parametric 'skin age' modelling.International journal of cosmetic science
   2016
4. 4
   Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
   2016
5. 5
   Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
   2016
6. 6
   Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regressionApplied Soft Computing Journal
   2016
7. 7
   Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
   2015
8. 8
   The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
   2015
9. 9
   Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
   2015
10. 10
    Optimized parametric skin modelling for diagnosis of skin abnormalities by combining light back-scatter and laser speckle imaging.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
    2014

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