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Ferdi Sarac
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2020 – today
- 2022
- [j1]Erdal Akin, Ferdi Sarac, Ömer Aslan:
An effective prediction method for network state information in SD-WAN. Turkish J. Electr. Eng. Comput. Sci. 30(1): 263-278 (2022) - 2021
- [c8]Ferdi Sarac, Huseyin Seker, Marcin Lisowski, Alan Timothy:
A Hybrid Two-Level Support Vector Machine-Based Method for Churn Analysis. ICCBDC 2021: 77-81
2010 – 2019
- 2017
- [b1]Ferdi Sarac:
Development of unsupervised feature selection methods for high dimensional biomedical data in regression domain. Northumbria University, Newcastle upon Tyne, UK, 2017 - [c7]Ferdi Sarac, Huseyin Seker, Ahmed Bouridane:
Exploration of unsupervised feature selection methods to predict chronological age of individuals by utilising CpG dinucleotics from whole blood. EMBC 2017: 3652-3655 - [c6]Ferdi Sarac, Huseyin Seker, Ahmed Bouridane:
A Support Vector Regression Based Model for the Quantitative Prediction of Age and Body Mass Index by using Epigenetic Information from Peripheral Blood. ICCBDC 2017: 125-129 - 2016
- [c5]Ferdi Sarac, Volkan Uslan
, Huseyin Seker, Ahmed Bouridane:
Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions. EMBC 2016: 3072-3075 - [c4]Ferdi Sarac, Huseyin Seker:
An instance selection framework for mining data streams to predict antibody-feature function relationships on RV144 HIV vaccine recipients. SMC 2016: 3356-3361 - [c3]Ferdi Sarac, Volkan Uslan
, Huseyin Seker, Ahmed Bouridane:
A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. SMC 2016: 3770-3775 - 2015
- [c2]Ferdi Sarac, Volkan Uslan
, Huseyin Seker, Ahmed Bouridane:
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 - [c1]Ferdi Sarac, Volkan Uslan
, Huseyin Seker, Ahmed Bouridane:
Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. EMBC 2015: 8173-8176
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last updated on 2024-04-24 23:02 CEST by the dblp team
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