Items where Author is "Sarac, Ferdi"

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Number of items: 6.

Article

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (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 (EMBC 2015). pp. 8173-8176. ISSN 1557-170X

Book Section

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2016) Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Piscataway, pp. 3072-3075. ISBN 978-1-4577-0219-8

Sarac, Ferdi and Seker, Huseyin (2016) An instance selection framework for mining data streams to predict antibody-feature function relationships on RV144 HIV vaccine recipients. In: Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 003356-003361. ISBN 9781509018970

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2016) A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. In: Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 003770-003775. ISBN 9781509018970

Sarac, Ferdi, Uslan, Volkan, Seker, Huseyin and Bouridane, Ahmed (2015) Exploration of unsupervised feature selection methods in relation to the prediction of cytokine release effect correlated to antibody features in RV144 vaccines. In: Proceedings of the 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015. IEEE, Piscataway, NJ, pp. 1-4. ISBN 978-146737983-0

Thesis

Sarac, Ferdi (2017) Development of unsupervised feature selection methods for high dimensional biomedical data in regression domain. Doctoral thesis, Northumbria University.

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