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)

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)

An instance selection framework for mining data streams to predict antibody-feature function relationships on RV144 HIV vaccine recipients. - Ferdi Sarac; Huseyin Seker (SMC, 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)

Exploration of unsupervised feature selection methods to predict chronological age of individuals by utilising CpG dinucleotics from whole blood. - Ferdi Sarac; Huseyin Seker; Ahmed Bouridane (EMBC, 2017)

A Support Vector Regression Based Model for the Quantitative Prediction of Age and Body Mass Index by using Epigenetic Information from Peripheral Blood. - Ferdi Sarac; Huseyin Seker; Ahmed Bouridane (ICCBDC, 2017)

Development of unsupervised feature selection methods for high dimensional biomedical data in regression domain. - Ferdi Sarac (2017)

A Hybrid Two-Level Support Vector Machine-Based Method for Churn Analysis. - Ferdi Sarac; Huseyin Seker; Marcin Lisowski; Alan Timothy (ICCBDC, 2021)

An effective prediction method for network state information in SD-WAN. - Erdal Akin; Ferdi Sarac; Ömer Aslan (Turkish J. Electr. Eng. Comput. Sci., 2022)