Kamal Berahmand

Kamal Berahmand

Queensland University of Technology

H-index: 30

Oceania-Australia

About Kamal Berahmand

Kamal Berahmand, With an exceptional h-index of 30 and a recent h-index of 30 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Machine Learning, Representation Learning, Unsupervised learning, Semi-supervised learning.

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

New Ensemble Deep Learning Model for Gynaecological Cancer Risk Prediction

Autoencoders and their applications in machine learning: a survey

A novel healthy food recommendation to user groups based on a deep social community detection approach

WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering

A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information

SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder

Early and High-Accuracy Diagnosis of Parkinson’s Disease: Outcomes of a New Model

A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information

Kamal Berahmand Information

University

Position

PhD candidate at

Citations(all)

2183

Citations(since 2020)

2176

Cited By

138

hIndex(all)

30

hIndex(since 2020)

30

i10Index(all)

33

i10Index(since 2020)

33

Email

University Profile Page

Queensland University of Technology

Google Scholar

View Google Scholar Profile

Kamal Berahmand Skills & Research Interests

Machine Learning

Representation Learning

Unsupervised learning

Semi-supervised learning

Top articles of Kamal Berahmand

Title

Journal

Author(s)

Publication Date

New Ensemble Deep Learning Model for Gynaecological Cancer Risk Prediction

Kamal Berahman

Xujuan Zhou

Yufeng Li

Raj Gururajan

Prabal Barua

...

2024/4/2

Autoencoders and their applications in machine learning: a survey

Artificial Intelligence Review

Kamal Berahmand

Fatemeh Daneshfar

Elaheh Sadat Salehi

Yuefeng Li

Yue Xu

2024/2/3

A novel healthy food recommendation to user groups based on a deep social community detection approach

Neurocomputing

Mehrdad Rostami

Kamal Berahmand

Saman Forouzandeh

Sajad Ahmadian

Vahid Farrahi

...

2024/4/1

WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering

Neurocomputing

Kamal Berahmand

Mehrnoush Mohammadi

Razieh Sheikhpour

Yuefeng Li

Yue Xu

2024/1/21

A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information

Expert Systems with Applications

Vahid Jannesari

Maryam Keshvari

Kamal Berahmand

2024/5/15

SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder

IEEE Transactions on Knowledge and Data Engineering

Kamal Berahmand

Sondos Bahadori

Maryam Nooraei Abadeh

Yuefeng Li

Yue Xu

2024/4/16

Early and High-Accuracy Diagnosis of Parkinson’s Disease: Outcomes of a New Model

Computational and Mathematical Methods in Medicine

Sajjad Amiri Doumari

Kamal Berahmand

MJ Ebadi

2023/6/2

A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information

IEEE Transactions on Computational Social Systems

Kamal Berahmand

Yuefeng Li

Yue Xu

2023/11/8

MapReduce scheduling algorithms in Hadoop: a systematic study

Soudabeh Hedayati

Neda Maleki

Tobias Olsson

Fredrik Ahlgren

Mahdi Seyednezhad

...

2023/10/10

Community Detection Algorithms in Healthcare Applications: A Systematic Review

Mehrdad Rostami

Mourad Oussalah

Kamal Berahmand

Vahid Farrahi

2023/3/22

DAC-HPP: deep attributed clustering with high-order proximity preserve

Neural Computing and Applications

Kamal Berahmand

Yuefeng Li

Yue Xu

2023/10/3

Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks

Multimedia Tools and Applications

Elahe Nasiri

Kamal Berahmand

Yuefeng Li

2023/1

An effective link prediction method in multiplex social networks using local random walk towards dependable pathways

Journal of Combinatorial Optimization

Wenjun Li

Ting Li

Kamal Berahmand

2023

A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet)

Expert Systems with Applications

Saman Forouzandeh

Kamal Berahmand

Razieh Sheikhpour

Yuefeng Li

2023/6/8

Hessian-based semi-supervised feature selection using generalized uncorrelated constraint

Knowledge-Based Systems

Razieh Sheikhpour

Kamal Berahmand

Saman Forouzandeh

2023/6/7

Health-aware food recommendation system with dual attention in heterogeneous graphs

Computers in Biology and Medicine

Saman Forouzandeh

Mehrdad Rostami

Kamal Berahmand

Razieh Sheikhpour

2023/12/23

A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model

Fuzzy Information and Engineering

Saman Forouzandeh

Mehrdad Rostami

Kamal Berahmand

2022/1/12

Graph-based relevancy-redundancy gene selection method for cancer diagnosis

Computers in Biology and Medicine

Saeid Azadifar

Mehrdad Rostami

Kamal Berahmand

Parham Moradi

Mourad Oussalah

2022/8/1

Diagnosis of alternaria disease and leafminer pest on tomato leaves using image processing techniques

Journal of the Science of Food and Agriculture

Kobra Nazari

Mohammad Javad Ebadi

Kamal Berahmand

2022/12

A Novel Explainable and Health-aware Food Recommender System.

KDIR

Merhrdad Rostami

Vahid Farahi

Kamal Berahmand

Saman Forouzandeh

Sajad Ahmadian

...

2022

See List of Professors in Kamal Berahmand University(Queensland University of Technology)

Co-Authors

H-index: 41
Professor Yuefeng Li

Professor Yuefeng Li

Queensland University of Technology

H-index: 33
Yue Xu

Yue Xu

Queensland University of Technology

H-index: 32
Mourad Oussalah

Mourad Oussalah

Oulun yliopisto

H-index: 30
Parham Moradi

Parham Moradi

University of Kurdistan

H-index: 26
Sajad Ahmadian

Sajad Ahmadian

Kermanshah University of Technology

H-index: 22
Mehrdad Rostami

Mehrdad Rostami

University of Kurdistan

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