Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sureyya Ozogur-Akyuz"'
Autor:
Tamer Ölmez, Zümray Dokur, Farouk Elsallak, Melisa Caliskan, Nerses Bebek, Adil Deniz Duru, Ceylan Demir, Tuğba Bostancı, Mohammad Shkokani, Sureyya Ozogur-Akyuz, Gizem Yilmaz, Muhammad Ammar Ali, Can Ergün
Publikováno v:
Computational Intelligence. 38:1163-1182
Publikováno v:
Information Sciences. 557:373-381
Ensemble machine learning methods are frequently used for classification problems and it is known that they may boost the prediction accuracy. Support Vector Machines are widely used as base classifiers during the construction of different types of e
Publikováno v:
Computational Intelligence. 36:297-319
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:85-91
Brain-computer interface (BCI) assists communication for the disabled and handicapped. It is usually electroencephalogram (EEG) based and uses motor imagery (MI) in its operation. EEG signals are known for being nonstationary and are sensitive to art
Publikováno v:
2021 13th International Conference on Electrical and Electronics Engineering (ELECO).
Publikováno v:
SIU
In this study, a new mathematical model established with an ensemble-based approach, is proposed and applied to a large-scale data set consisting of three classes, whose features were extracted, obtained from birthday tweets. In this model, bagging m
Publikováno v:
2019 11th International Conference on Electrical and Electronics Engineering (ELECO).
The growing consensus is that creativity is associated with connectivity across multiple neural networks including, but not restricted to, networks involved in executive and cognitive control along with regions closely linked to the Default Mode Netw
Publikováno v:
Machine Learning. 101:253-269
Ensemble learning is a method of combining learners to obtain more reliable and accurate predictions in supervised and unsupervised learning. However, the ensemble sizes are sometimes unnecessarily large which leads to additional memory usage, comput
Publikováno v:
Birth Defects Research Part C: Embryo Today: Reviews. 87:165-181
An emerging research area in computational biology and biotechnology is devoted to mathematical modeling and prediction of gene-expression patterns; it nowadays requests mathematics to deeply understand its foundations. This article surveys data mini
Autor:
Gerhard-Wilhelm Weber, S. Z. Alparslan-Gök, Başak Akteke-Öztürk, Pakize Taylan, Sureyya Ozogur-Akyuz
Publikováno v:
TOP. 16:284-318
This mathematical contribution is addressed towards the wide interface of life and human sciences that exists between biological and environmental information. Like very few other disciplines only, the modeling and prediction of genetical data is req