Follow
Volkan Uslan
Volkan Uslan
Verified email at dmu.ac.uk
Title
Cited by
Cited by
Year
Microarray Image Segmentation using Clustering Methods
V Uslan, İÖ Bucak
Mathematical and Computational Applications 15 (2), 240-247, 2010
302010
Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression
V Uslan, H Seker
Applied Soft Computing 43, 210-221, 2016
252016
Clustering-based spot segmentation of cDNA microarray images
V Uslan, IO Bucak
32th IEEE Int. Conf. of Eng. in Medicine and Biology Society (EMBC), 1828-1831, 2010
192010
Support vector-based Takagi-Sugeno fuzzy system for the prediction of binding affinity of peptides
V Uslan, H Seker
35th IEEE Int. Conf. of Eng. in Medicine and Biology Society (EMBC), 4062-4065, 2013
172013
Sequence alignment from the perspective of stochastic optimization: a survey
IÖ Bucak, V Uslan
Turkish Journal of Electrical Engineering and Computer Sciences 19 (1), 157-173, 2011
162011
Automated Extraction of Semantic Word Relations in Turkish Lexicon
Z Orhan, I Pehlivan, V Uslan, P Önder
Mathematical and Computational Applications 16 (1), 13-22, 2011
152011
A support vector-based interval type-2 fuzzy system
V Uslan, H Seker, R John
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2396-2401, 2014
122014
Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity
F Sarac, V Uslan, H Seker, A Bouridane
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
102015
An analysis of sequence alignment: heuristic algorithms
IÖ Bucak, V Uslan
32th IEEE Int. Conf. of Eng. in Medicine and Biology Society (EMBC), 1824-1827, 2010
102010
Optimized parametric skin modelling for diagnosis of skin abnormalities by combining light back‐scatter and laser speckle imaging
AB Orun, E Goodyer, H Seker, G Smith, V Uslan, D Chauhan
Skin Research and Technology 20 (4), 473-485, 2014
92014
Support vector-based fuzzy system for the prediction of mouse class I MHC peptide binding affinity
V Uslan, H Seker
13th IEEE Int. Conf. on Bioinformatics and Bioengineering (BIBE), 1-4, 2013
82013
Unsupervised selection of rv144 hiv vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions
F Sarac, V Uslan, H Seker, A Bouridane
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
72016
The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies
V Uslan, H Seker
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual …, 2015
72015
Overlapping clusters and support vector machines based interval type-2 fuzzy system for the prediction of peptide binding affinity
V Uslan, H Seker, R John
IEEE Access 7, 49756-49764, 2019
62019
Binding affinity prediction of S. cerevisiae 14-3-3 and GYF peptide-recognition domains using support vector regression
V Uslan, H Seker
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
42016
Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in rv144 vaccines
F Sarac, V Uslan, H Seker, A Bouridane
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering …, 2015
42015
A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines
F Sarac, V Uslan, H Seker, A Bouridane
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
32016
An improvement of skin aging assessment by non-invasive laser speckle effect: A comparative texture analysis
A Orun, H Seker, E Goodyer, G Smith, V Uslan
2nd IEEE Int. Conf. on Biomedical and Health Informatics (BHI), 2014
32014
Texture‐based characterization of subskin features by specified laser speckle effects at λ = 650 nm region for more accurate parametric ‘skin age’ modelling
AB Orun, H Seker, V Uslan, E Goodyer, G Smith
International Journal of Cosmetic Science 39 (3), 320-326, 2017
22017
Support vector machine-based fuzzy systems for quantitative prediction of peptide binding affinity
V Uslan
De Montfort University, 2015
22015
The system can't perform the operation now. Try again later.
Articles 1–20