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2020 – today
- 2024
[j32]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(11-12): 35-79 (2024)- [j31]Zahra Rahaie, Hamid R. Rabiee, Hamid Alinejad-Rokny:
CNVDeep: deep association of copy number variants with neurocognitive disorders. BMC Bioinform. 25(1): 283 (2024) - [j30]Alireza Sadeghi, Farshid Hajati, Alireza Rezaee, Mahdieh Sadeghi, Ahmadreza Argha, Hamid Alinejad-Rokny:
3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection. Comput. Biol. Medicine 182: 109126 (2024) - [j29]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): 201-212 (2024) - [c10]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: 98-107 - [c9]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: 139-149 - [c8]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: 150-160 - [i8]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 abs/2406.00702 (2024) - [i7]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 abs/2407.19705 (2024) - [i6]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 abs/2407.20891 (2024) - 2023
- [j28]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): 158 (2023) - [j27]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: 106841 (2023) - [j26]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: 106998 (2023) - [j25]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) - [j24]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): 10883-10898 (2023) - [j23]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): 22179-22188 (2023) - [j22]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) - [j21]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) - [c7]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: 1-6 - [c6]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: 1-4 - [c5]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: 1-5 - [c4]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: 1-5 - [i5]Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny:
Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR abs/2302.13268 (2023) - [i4]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 abs/2309.12202 (2023) - 2022
- [j20]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): 138 (2022) - [j19]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) - [j18]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) - [j17]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) - [j16]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): 1010515 (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 2024-10-07 22:07 CEST by the dblp team
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