Volkan Uslan

Orcid: 0000-0001-6252-8853

According to our database1, Volkan Uslan authored at least 14 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity.
IEEE Access, 2019

2016
Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression.
Appl. Soft Comput., 2016

A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Support vector machine-based fuzzy systems for quantitative prediction of peptide binding affinity.
PhD thesis, 2015

The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2014
A support vector-based interval type-2 fuzzy system.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Prediction of skin ages by means of multi-spectral light sources.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

An improvement of skin aging assessment by non-invasive laser speckle effect: A comparative texture analysis.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Support vector-based Takagi-Sugeno fuzzy system for the prediction of binding affinity of peptides.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Support vector-based fuzzy system for the prediction of mouse class I MHC peptide binding affinity.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013


  Loading...