Hamed Malek

Shahid Beheshti University

H-index: 6

Asia-Iran

About Hamed Malek

Hamed Malek, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Shahid Beheshti University, specializes in the field of Deep Learning, Computational Neuroscience, Computational Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs

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

Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks

RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications

Early detection of rhabdomyolysis-induced acute kidney injury through machine learning approaches

Determining the need for computed tomography scan following blunt chest trauma through machine learning approaches

Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis

Learning document image features with SqueezeNet convolutional neural network

Hamed Malek Information

University	Shahid Beheshti University
Position	___
Citations(all)	309
Citations(since 2020)	232
Cited By	137
hIndex(all)	6
hIndex(since 2020)	6
i10Index(all)	6
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Shahid Beheshti University
Google Scholar	View Google Scholar Profile

Hamed Malek Skills & Research Interests

Deep Learning

Computational Neuroscience

Computational Intelligence

Top articles of Hamed Malek

Title	Journal	Author(s)	Publication Date
Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs	Evolving Systems	Saman Khamesian Hamed Malek	2023/6/12
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations	International Journal of Imaging Systems and Technology	Atefe Aghaei Mohsen Ebrahimi Moghaddam Hamed Malek	2022/11
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks	arXiv preprint arXiv:2209.08480	Marzieh Sadat Esmaeeli Hamed Malek	2022/9/18
RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications	Informatics in Medicine Unlocked	Maryam Sajde Hamed Malek Mehran Mohsenzadeh	2022/1/9
Early detection of rhabdomyolysis-induced acute kidney injury through machine learning approaches	Archives of Academic Emergency Medicine	Pooria Poorsarvi Tehrani Hamed Malek	2021
Determining the need for computed tomography scan following blunt chest trauma through machine learning approaches	Archives of Academic Emergency Medicine	Mohsen Shahverdi Kondori Hamed Malek	2021
Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis	Computers in Biology and Medicine	Hamed Malek Mohammad Mehdi Ebadzadeh Reza Safabakhsh Alireza Razavi	2021/8/1
Learning document image features with SqueezeNet convolutional neural network	International Journal of Engineering	M Hassanpour H Malek	2020/7/1