Support vector-based fuzzy system for the prediction of mouse class I MHC peptide binding affinity. - Volkan Uslan; Huseyin Seker (BIBE, 2013)

Support vector-based Takagi-Sugeno fuzzy system for the prediction of binding affinity of peptides. - Volkan Uslan; Huseyin Seker (EMBC, 2013)

An improvement of skin aging assessment by non-invasive laser speckle effect: A comparative texture analysis. - A. B. Orun; Huseyin Seker; Eric Goodyer; Geoff Smith; Volkan Uslan (BHI, 2014)

Prediction of skin ages by means of multi-spectral light sources. - Huseyin Seker; Volkan Uslan; A. B. Orun; Eric Goodyer; Geoff Smith (EMBC, 2014)

A support vector-based interval type-2 fuzzy system. - Volkan Uslan; Huseyin Seker; Robert I. John (FUZZ-IEEE, 2014)

Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines. - Ferdi Sarac; Volkan Uslan; Huseyin Seker; Ahmed Bouridane (BIBE, 2015)

Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. - Ferdi Sarac; Volkan Uslan; Huseyin Seker; Ahmed Bouridane (EMBC, 2015)

The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies. - Volkan Uslan; Huseyin Seker (EMBC, 2015)

Support vector machine-based fuzzy systems for quantitative prediction of peptide binding affinity. - Volkan Uslan (2015)

Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions. - Ferdi Sarac; Volkan Uslan; Huseyin Seker; Ahmed Bouridane (EMBC, 2016)

Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression. - Volkan Uslan; Huseyin Seker (EMBC, 2016)

A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. - Ferdi Sarac; Volkan Uslan; Huseyin Seker; Ahmed Bouridane (SMC, 2016)

Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression. - Volkan Uslan; Huseyin Seker (Appl. Soft Comput., 2016)

Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity. - Volkan Uslan; Huseyin Seker; Robert I. John (IEEE Access, 2019)