Hamid Alinejad-Rokny

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Coronary Artery

Clustering Ensemble

Top Venues

Comput. Biol. Medicine

PLoS Comput. Biol.

Publications

Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, Md. Easin Arafat, Swakkhar Shatabda, Hamid Alinejad-Rokny, Iman Dehzangi
MethEvo: an accurate evolutionary information-based methylation site predictor. Neural Comput. Appl. 36 (1) (2024)
Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad
Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. CoRR (2024)
Afshin Shoeibi, Marjane Khodatars, Hamid Alinejad-Rokny, Jónathan Heras, Sara Bagherzadeh, Amin Beheshti, Juan Manuel Górriz
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models. IWINAC (2024)
Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Górriz
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. IWINAC (2024)
Jingwei Zhu, Minghuan Tan, Min Yang, Ruixue Li, Hamid Alinejad-Rokny
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare. CoRR (2024)
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. Appl. Intell. 54 (1) (2024)
Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz
Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. IWINAC (2024)
Amir Masoud Rahmani, Amir Haider, Mohammad Adeli, Olfa Mzoughi, Entesar Gemeay, Mokhtar Mohammadi, Hamid Alinejad-Rokny, Parisa Khoshvaght, Mehdi Hosseinzadeh
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies. CoRR (2024)
Ahmadreza Argha, Joan Li, Joseph Magdy, Hamid Alinejad-Rokny, Branko G. Celler, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell
Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm. EMBC (2023)
Seng Hansun, Ahmadreza Argha, Hamid Alinejad-Rokny, Siaw-Teng Liaw, Branko G. Celler, Guy B. Marks
Revisiting Transfer Learning Method for Tuberculosis Diagnosis. EMBC (2023)
Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny
Learning Distributed Representations and Deep Embedded Clustering of Texts. Algorithms 16 (3) (2023)
Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi
HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. ICASSP (2023)
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
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 93 (2023)
Zahra Rahaie, Hamid R. Rabiee, Hamid Alinejad-Rokny
DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants. PLoS Comput. Biol. 19 (7) (2023)
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023. CoRR (2023)
Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny
Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR (2023)
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
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23 (3) (2023)
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
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine 160 (2023)
Pouria Parhami, Mansoor Fateh, Mohsen Rezvani, Hamid Alinejad-Rokny
A comparison of deep neural network models for cluster cancer patients through somatic point mutations. J. Ambient Intell. Humaniz. Comput. 14 (8) (2023)
Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad-Rokny
Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion. DSP (2023)
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
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158 (2023)
Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35 (30) (2023)
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
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. Comput. Biol. Medicine 146 (2022)
Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel H. Lovell, Hamid R. Rabiee, Hamid Alinejad-Rokny
Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer. BMC Bioinform. 23 (1) (2022)
Nasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny
iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data. AIED (2) (2022)
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
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR (2022)
Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi
HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. CoRR (2022)
Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh-sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types. BMC Bioinform. 23 (1) (2022)
Ahmadreza Argha, Branko G. Celler, Hamid Alinejad-Rokny, Nigel H. Lovell
Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm. IEEE Trans. Instrum. Meas. 71 (2022)
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR (2022)
Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny
Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. DSAA (2022)
Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest
Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments. PLoS Comput. Biol. 18 (9) (2022)
Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest
MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments. PLoS Comput. Biol. 18 (6) (2022)
Kieran Walsh, Akira Gokool, Hamid Alinejad-Rokny, Irina Voineagu
NeuroCirc: an integrative resource of circular RNA expression in the human brain. Bioinform. 37 (20) (2021)
Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. J. Biomed. Informatics 113 (2021)
Kim-Hung Pho, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Hamid Alinejad-Rokny
A multi-level consensus function clustering ensemble. Soft Comput. 25 (21) (2021)
Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis
Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. AIED (2) (2021)
Mohammad Reza Mahmoudi, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Vahideh Rezaie, Hamid Alinejad-Rokny
Consensus function based on cluster-wise two level clustering. Artif. Intell. Rev. 54 (1) (2021)
Huan Niu, Wei Xu, Hamidreza Akbarzadeh, Hamid Parvin, Amin Beheshti, Hamid Alinejad-Rokny
Deep feature learnt by conventional deep neural network. Comput. Electr. Eng. 84 (2020)
Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz, Hamid Alinejad-Rokny
User and item profile expansion for dealing with cold start problem. J. Intell. Fuzzy Syst. 38 (4) (2020)
Hamid Alinejad-Rokny, Esmaeil Sadroddiny, Vinod Scaria
Machine learning and data mining techniques for medical complex data analysis. Neurocomputing 276 (2018)
Ali Kalantari, Amirrudin Kamsin, Shahaboddin Shamshirband, Abdullah Gani, Hamid Alinejad-Rokny, Anthony T. Chronopoulos
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions. Neurocomputing 276 (2018)
Hamid Parvin, Miresmaeil Mirnabibaboli, Hamid Alinejad-Rokny
Proposing a classifier ensemble framework based on classifier selection and decision tree. Eng. Appl. Artif. Intell. 37 (2015)
Hamid Alinejad-Rokny, Diako Ebrahimi
A method to avoid errors associated with the analysis of hypermutated viral sequences by alignment-based methods. J. Biomed. Informatics 58 (2015)
Behrouz Minaei-Bidgoli, Hamid Parvin, Hamid Alinejad-Rokny, Hosein Alizadeh, William F. Punch
Effects of resampling method and adaptation on clustering ensemble efficacy. Artif. Intell. Rev. 41 (1) (2014)
Mohammad Ahmadinia, Hamid Alinejad-Rokny, Hojjatollah Ahangarikiasari
Data Aggregation in Wireless Sensor Networks Based on Environmental Similarity: A Learning Automata Approach. J. Networks 9 (10) (2014)
Hamid Parvin, Behrouz Minaei-Bidgoli, Hamid Alinejad-Rokny, William F. Punch
Data weighing mechanisms for clustering ensembles. Comput. Electr. Eng. 39 (5) (2013)
Hamid Parvin, Hamid Alinejad-Rokny, Behrouz Minaei-Bidgoli, Sajad Parvin
A new classifier ensemble methodology based on subspace learning. J. Exp. Theor. Artif. Intell. 25 (2) (2013)