Мариам Зомороди

PhD, Ассоциированный Профессор, Краковский Технологический Университет, Польша

Приглашенный редактор журнала «Axioms» (MDPI) https://www.mdpi.com/journal/axioms/special_issues/EWU9X4T5W5

Научные интересы: Deep learning, Quantum computing, Quantum machine learning

Избранные публикации:

Abdar, M., Zomorodi-Moghadam, M., Das, R., & Ting, I. (2016). Performance analysis of classification algorithms on early detection of liver disease. Expert Systems With Applications, 67, 239–251. https://doi.org/10.1016/j.eswa.2016.08.065

Abdar, M., Zomorodi-Moghadam, M., Zhou, X., Gururajan, R., Tao, X., Barua, P. D., & Gururajan, R. (2018). A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognition Letters, 132, 123–131. https://doi.org/10.1016/j.patrec.2018.11.004

Nasarian, E., Abdar, M., Fahami, M. A., Alizadehsani, R., Hussain, S., Basiri, M. E., Zomorodi-Moghadam, M., Zhou, X., Pławiak, P., Acharya, U. R., Tan, R., & Sarrafzadegan, N. (2020). Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognition Letters, 133, 33–40. https://doi.org/10.1016/j.patrec.2020.02.010

Sherkatghanad, Z., Akhondzadeh, M., Salari, S., Zomorodi-Moghadam, M., Abdar, M., Acharya, U. R., Khosrowabadi, R., & Salari, V. (2020). Automated detection of autism spectrum disorder using a convolutional neural network. Frontiers in Neuroscience, 13, 1325. https://doi.org/10.3389/fnins.2019.01325

Zomorodi‐moghadam, M., Abdar, M., Davarzani, Z., Zhou, X., Pławiak, P., & Acharya, U. (2019). Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Systems, 38(1). https://doi.org/10.1111/exsy.12485