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Volkan Uslan
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2010 – 2019
- 2019
- [j2]Volkan Uslan
, Huseyin Seker, Robert I. John:
Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity. IEEE Access 7: 49756-49764 (2019) - 2016
- [j1]Volkan Uslan
Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression. Appl. Soft Comput. 43: 210-221 (2016) - [c11]Ferdi Sarac, Volkan Uslan
Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions. EMBC 2016: 3072-3075 - [c10]Volkan Uslan
Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression. EMBC 2016: 3445-3448 - [c9]Ferdi Sarac, Volkan Uslan
A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. SMC 2016: 3770-3775 - 2015
- [b1]Volkan Uslan:
Support vector machine-based fuzzy systems for quantitative prediction of peptide binding affinity. De Montfort University, Leicester, UK, 2015 - [c8]Ferdi Sarac, Volkan Uslan
Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines. BIBE 2015: 1-4 - [c7]Volkan Uslan
The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies. EMBC 2015: 7651-7654 - [c6]Ferdi Sarac, Volkan Uslan
Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. EMBC 2015: 8173-8176 - 2014
- [c5]A. B. Orun, Huseyin Seker, Eric Goodyer
An improvement of skin aging assessment by non-invasive laser speckle effect: A comparative texture analysis. BHI 2014: 21-24 - [c4]Huseyin Seker, Volkan Uslan
Prediction of skin ages by means of multi-spectral light sources. EMBC 2014: 6736-6739 - [c3]Volkan Uslan
A support vector-based interval type-2 fuzzy system. FUZZ-IEEE 2014: 2396-2401 - 2013
- [c2]Volkan Uslan
Support vector-based fuzzy system for the prediction of mouse class I MHC peptide binding affinity. BIBE 2013: 1-4 - [c1]Volkan Uslan
Support vector-based Takagi-Sugeno fuzzy system for the prediction of binding affinity of peptides. EMBC 2013: 4062-4065
Coauthor Index
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