Hamid Alinejad-Rokny

According to our database, Hamid Alinejad-Rokny authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MethEvo: an accurate evolutionary information-based methylation site predictor.

Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, Md. Easin Arafat, Swakkhar Shatabda, Hamid Alinejad-Rokny, Iman Dehzangi

Neural Comput. Appl., January, 2024

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.

Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz

Appl. Intell., January, 2024

2023

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.

Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny

Neural Comput. Appl., October, 2023

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.

Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya

Comput. Biol. Medicine, June, 2023

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review.

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz

Inf. Fusion, May, 2023

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease.

Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya

Comput. Biol. Medicine, May, 2023

Learning Distributed Representations and Deep Embedded Clustering of Texts.

Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny

Algorithms, March, 2023

Swarm Intelligence in Internet of Medical Things: A Review.

Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino

Sensors, February, 2023

DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants.

Zahra Rahaie, Hamid R. Rabiee, Hamid Alinejad-Rokny

PLoS Comput. Biol., 2023

A comparison of deep neural network models for cluster cancer patients through somatic point mutations.

Pouria Parhami, Mansoor Fateh, Mohsen Rezvani, Hamid Alinejad-Rokny

J. Ambient Intell. Humaniz. Comput., 2023

Revolutionizing Genomics with Reinforcement Learning Techniques.

Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny

CoRR, 2023

Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion.

Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad-Rokny

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information.

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2023

Revisiting Transfer Learning Method for Tuberculosis Diagnosis.

Seng Hansun, Ahmadreza Argha, Hamid Alinejad-Rokny, Siaw-Teng Liaw, Branko G. Celler, Guy B. Marks

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm.

Ahmadreza Argha, Joan Li, Joseph Magdy, Hamid Alinejad-Rokny, Branko G. Celler, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer.

Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel H. Lovell, Hamid R. Rabiee, Hamid Alinejad-Rokny

BMC Bioinform., December, 2022

Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.

Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest

PLoS Comput. Biol., September, 2022

Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm.

Ahmadreza Argha, Branko G. Celler, Hamid Alinejad-Rokny, Nigel H. Lovell

IEEE Trans. Instrum. Meas., 2022

MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.

Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest

PLoS Comput. Biol., 2022

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.

Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny

CoRR, 2022

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.

Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, Mohammad Rezaei-Ravari, Kamal Berahmand, Mehrdad Rostami, Saeed Karami, Mohammad Najafzadeh, Davood Hajinezhad, Mina Jamshidi, Farshid Abedi, Mahtab Mohammadifard, Elnaz Farbod, Farinaz Safavi, Mohammadreza Dorvash, Negar Mottaghi-Dastjerdi, Shahrzad Vahedi, Mahdi Eftekhari, Farid Saberi-Movahed, Hamid Alinejad-Rokny, Shahab S. Band, Iman Tavassoly

Comput. Biol. Medicine, 2022

Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types.

Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh-sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi

BMC Bioinform., 2022

Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns.

Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data.

Nasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

A multi-level consensus function clustering ensemble.

Kim-Hung Pho, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Hamid Alinejad-Rokny

Soft Comput., 2021

A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.

Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny

J. Biomed. Informatics, 2021

NeuroCirc: an integrative resource of circular RNA expression in the human brain.

Kieran Walsh, Akira Gokool, Hamid Alinejad-Rokny, Irina Voineagu

Bioinform., 2021

Consensus function based on cluster-wise two level clustering.

Mohammad Reza Mahmoudi, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Vahideh Rezaie, Hamid Alinejad-Rokny

Artif. Intell. Rev., 2021

Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload.

Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

User and item profile expansion for dealing with cold start problem.

Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz, Hamid Alinejad-Rokny

J. Intell. Fuzzy Syst., 2020

Deep feature learnt by conventional deep neural network.

Huan Niu, Wei Xu, Hamidreza Akbarzadeh, Hamid Parvin, Amin Beheshti, Hamid Alinejad-Rokny

Comput. Electr. Eng., 2020

2019

Transcriptomic Data Normalization.

Fatemeh Vafaee, Hamed Dashti, Hamid Alinejad-Rokny

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

2018

Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions.

Ali Kalantari, Amirrudin Kamsin, Shahaboddin Shamshirband, Abdullah Gani, Hamid Alinejad-Rokny, Anthony T. Chronopoulos

Neurocomputing, 2018

Machine learning and data mining techniques for medical complex data analysis.

Hamid Alinejad-Rokny, Esmaeil Sadroddiny, Vinod Scaria

Neurocomputing, 2018

2015

A method to avoid errors associated with the analysis of hypermutated viral sequences by alignment-based methods.

Hamid Alinejad-Rokny, Diako Ebrahimi

J. Biomed. Informatics, 2015

Proposing a classifier ensemble framework based on classifier selection and decision tree.

Hamid Parvin, Miresmaeil Mirnabibaboli, Hamid Alinejad-Rokny

Eng. Appl. Artif. Intell., 2015

2014

Data Aggregation in Wireless Sensor Networks Based on Environmental Similarity: A Learning Automata Approach.

Mohammad Ahmadinia, Hamid Alinejad-Rokny, Hojjatollah Ahangarikiasari

J. Networks, 2014

Effects of resampling method and adaptation on clustering ensemble efficacy.

Behrouz Minaei-Bidgoli, Hamid Parvin, Hamid Alinejad-Rokny, Hosein Alizadeh, William F. Punch

Artif. Intell. Rev., 2014

2013

A new classifier ensemble methodology based on subspace learning.

Hamid Parvin, Hamid Alinejad-Rokny, Behrouz Minaei-Bidgoli, Sajad Parvin

J. Exp. Theor. Artif. Intell., 2013

Data weighing mechanisms for clustering ensembles.

Hamid Parvin, Behrouz Minaei-Bidgoli, Hamid Alinejad-Rokny, William F. Punch

Comput. Electr. Eng., 2013