Hamid Alinejad-Rokny
Hamid Alinejad-Rokny
ARC DECRA & UNSW Scientia Fellow, Head of BioMedical Machine Learning Lab
Verified email at - Homepage
Cited by
Cited by
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
S Band, M Fathi, A Dehzangi, AT Chronopoulos, H Alinejad-Rokny*
Journal of Biomedical Informatics, 103627, 2021
Proposing a classifier ensemble framework based on classifier selection and decision tree
H Parvin, M MirnabiBaboli, H Alinejad-Rokny*
Engineering Applications of Artificial Intelligence 37, 34-42, 2016
MKNN: Modified k-nearest neighbor
H Parvin, H Alinejad, B Minaei-Bidgoli
Proceedings of the world congress on engineering and computer science 1, 2008
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
A Kalantari, A Kamsin, S S. Band, A Gani, H Alinejad-Rokny, ...
Neurocomputing 276, 2-22, 2017
Effects of resampling method and adaptation on clustering ensemble efficacy
B Minaei-Bidgoli, H Parvin, H Alinejad-Rokny(SA), H Alizadeh, W Punch
Artificial Intelligence Review 41 (1), 27-48, 2012
Decoding clinical biomarker space of covid-19: Exploring matrix factorization-based feature selection methods
F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ...
Computers in Biology and Medicine 146, 105426, 2022
Data weighing mechanisms for clustering ensembles
H Parvin, B Minaei-Bidgoli, H Alinejad-Rokny(SA), WF Punch
Computers & Electrical Engineering 39 (5), 1433-1450, 2013
A new imbalanced learning and decision tree method for breast cancer diagnosis
H Parvin, B Minaei-Bidgoli, H Alinejad-Rokny
Journal of Bionanoscience 7 (6), 673-678, 2013
A new classifier ensemble methodology based on subspace learning
H Parvin, H Alinejad-Rokny(SA), B Minaei-Bidgoli, S Parvin
Journal of Experimental & Theoretical Artificial Intelligence 25 (2), 227-250, 2013
A data-driven, knowledge-based approach to biomarker discovery: application to circulating microRNA markers of colorectal cancer prognosis
F Vafaee, C Diakos, MB Kirschner, G Reid, MZ Michael, LG Horvath, ...
NPJ systems biology and applications 4 (1), 20, 2018
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
D Shaarifrazi, R Alizadehsani, JH Joloudari, V Bani, S Hussain, ZA Sani, ...
Mathematical Biosciences and Engineering 19 (3), 2381-2402, 2022
Comparison of Fuzzy AHP and Fuzzy TOPSIS methods for plant species selection
I Alavi, H Alinejad-Rokny
Australian journal of basic and applied sciences 5 (12), 1104-1113, 2011
An ensemble of locally reliable cluster solutions
H Niu, N Khozouie, H Alinejad-Rokny, A Beheshti, M Mahmoudi
Applied Sciences 10 (5), 1891, 2020
Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity
T Debnath, M Reza, A Rahman, A Beheshti, V Bani, H Alinejad-Rokny
Nature Scientific Reports 12 (1), 1-18, 2022
Text clustering on latent semantic indexing with particle swarm optimization (PSO) algorithm
E Hasanzadeh, M Poyan, H Alinejad-Rokny(SA)
International Journal of Physical Sciences 7 (1), 16-120, 2012
Source of CpG depletion in the HIV-1 genome
H Alinejad-Rokny, F Anwar, SA Waters, MP Davenport, D Ebrahimi
Molecular Biology and Evolution 33 (12), 3205-3212, 2016
Proposed a New Method for Rules Extraction Using Artificial Neural Network and Artificial Immune System in Cancer Diagnosis
R Javanmard, K Jeddisaravi, H Alinejad-Rokny(SA)
Journal of Bionanoscience 7 (6), 665-672, 2013
Diagnosis of Brain Diseases in Fusion of Neuroimaging Modalities Using Deep Learning: A Review
A Shoeibi, M Khodatars, M Jafari, N Ghassemi, P Moridian, R Alizadesani, ...
Information Fusion 93, 85-117, 2023
Linkage learning based on differences in local optimums of building blocks with one optima
H Parvin, H Helmi, B Minaei, H Alinejad-Rokny, H Shirgahi
International Journal of Physical Sciences 6 (14), 3419-3425, 2011
Detection of cancer patients using an innovative method for learning at imbalanced datasets
H Parvin, H Alinejad-Rokny, B Minaei-Bidgoli
International Conference on Rough Sets and Knowledge Technology, 376-381, 2011
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