Publications

Journal Articles

[1] Ismael, A. M., Alçin, Ö. F., Abdalla, K. H., & Şengür, A. (2020). Two-stepped majority voting for efficient EEG-based emotion classification. Brain Informatics, 7(1), 1-12.

[2] Ismael, A. M., & Şengür, A. (2020). Deep learning approaches for COVID-19 detection based on chest X-ray images. Expert Systems with Applications, 164, 114054.

[3] Ismael, A. M., & Şengür, A. (2020). The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection. Health Information Science and Systems, 8(1), 1-11.

[4] Demir, F., Ismael, A. M., & Sengur, A. (2020). Classification of lung sounds with CNN model using parallel pooling structure. IEEE Access.

[5] Gomes, J.C., Barbosa, V.A.d.F., Santana, M.A. et al. IKONOS: an intelligent tool to support diagnosis of COVID-19 by texture analysis of X-ray images. Res. Biomed. Eng. (2020). https://doi.org/10.1007/s42600-020-00091-7.

[6] Umme Ayman Koana, Shadikur Rahman, Fakhrul Hasan, Aras M. Ismael, Karmand Hussein. (2020). SW release challenges: A case study with mitigation plan using semi-automated process. International Journal of Advanced Science and Technology, 29(08), 4942-4949. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/26826

[7] Ismael, A. M., & Gomes, J. C. (2020). The Efforts of Deep Learning Approaches for Breast Cancer Detection Based on X-Ray Images. In Biomedical Computing for Breast Cancer Detection and Diagnosis (pp. 290-309). IGI Global.

[8] Preprint: Gomes, J., Masood, A., Silva, L., Ferreira, J. R., Júnior, A. A. F., Rocha, A. L., ... & dos Santos, W. (2020). Covid-19 diagnosis by combining RT-PCR and pseudo-convolutional machines to characterize virus sequences.

International Conference Proceedings

[1] Ismael, A. M., Şengür, A., & Akbulut, Y. Local Receptive Fields based Extreme Learning Machine for Face Recognition. 8 th International Advanced Technologies Symposium (421- 425). (IATS) 2017.