H. Malek

CLASSIFICATION OF CARDIAC ARRHYTHMIA WITH RESPECT TO ECG AND HRV SIGNAL BY GENETIC PROGRAMMING

Mohammad Mehdi Ebadzadeh, Hamed Malek, M Tavassoli, 2012 .

Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithm

H. Malek, Saman Khamesian, 2021, ArXiv.

Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations

M. Moghaddam, Mohsen Ebrahimi Moghaddam, Atefeh Aghaei, 2022, Int. J. Imaging Syst. Technol..

Dynamics of the HPA axis and inflammatory cytokines: Insights from mathematical modeling

Mohammad Mehdi Ebadzadeh, Reza Safabakhsh, Alireza Razavi, 2015, Comput. Biol. Medicine.

Learning Document Image Features With SqueezeNet Convolutional Neural Network

H. Malek, M. Hassanpour, H. Malek, 2020, International Journal of Engineering.

Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches

H. Malek, Pooria Poorsarvi Tehrani, 2021, Archives of academic emergency medicine.

Applications of Machine Learning Approaches in Emergency Medicine; a Review Article

Hamed Malek, Negin Shafaf, H. Malek, 2019, Archives of academic emergency medicine.

Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm

Mohammad Mehdi Ebadzadeh, Mohammad Rahmati, Hamed Malek, 2011, Applied Intelligence.

RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications

M. Mohsenzadeh, Maryam Sajde, Hamed Malek, 2022, Informatics in Medicine Unlocked.

Document Image Classification using SqueezeNet Convolutional Neural Network

Hamed Malek, Mohammad Hassanpour, H. Malek, 2019, 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS).