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2020 – today
- 2023
[j20]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: 85-117 (2023)- [j19]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): 1466 (2023) - [i4]Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny:
Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR abs/2302.13268 (2023) - 2022
- [j18]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): 298 (2022) - [j17]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: 105426 (2022) - [j16]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) - [j15]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: 1-10 (2022) - [c3]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: 352-356 - [c2]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: 1-10 - [i3]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 abs/2210.14611 (2022) - [i2]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 abs/2210.14909 (2022) - [i1]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 abs/2211.02619 (2022) - 2021
- [j14]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): 639-665 (2021) - [j13]Kieran Walsh, Akira Gokool, Hamid Alinejad-Rokny, Irina Voineagu:
NeuroCirc: an integrative resource of circular RNA expression in the human brain. Bioinform. 37(20): 3664-3666 (2021) - [j12]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: 103627 (2021) - [j11]Kim-Hung Pho, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Hamid Alinejad-Rokny:
A multi-level consensus function clustering ensemble. Soft Comput. 25(21): 13147-13165 (2021) - [c1]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: 384-389 - 2020
- [j10]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: 106656 (2020) - [j9]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): 4471-4483 (2020)
2010 – 2019
- 2019
- [r1]Fatemeh Vafaee, Hamed Dashti, Hamid Alinejad-Rokny:
Transcriptomic Data Normalization. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 364-371 - 2018
- [j8]Hamid Alinejad-Rokny, Esmaeil Sadroddiny, Vinod Scaria:
Machine learning and data mining techniques for medical complex data analysis. Neurocomputing 276: 1 (2018) - [j7]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: 2-22 (2018) - 2015
- [j6]Hamid Parvin, Miresmaeil Mirnabibaboli, Hamid Alinejad-Rokny:
Proposing a classifier ensemble framework based on classifier selection and decision tree. Eng. Appl. Artif. Intell. 37: 34-42 (2015) - [j5]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: 220-225 (2015) - 2014
- [j4]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): 27-48 (2014) - [j3]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): 2567-2573 (2014) - 2013
- [j2]Hamid Parvin, Behrouz Minaei-Bidgoli, Hamid Alinejad-Rokny, William F. Punch:
Data weighing mechanisms for clustering ensembles. Comput. Electr. Eng. 39(5): 1433-1450 (2013) - [j1]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): 227-250 (2013)
Coauthor Index
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last updated on 2023-03-22 22:56 CET by the dblp team
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