Hamid Alinejad-Rokny

According to our database, Hamid Alinejad-Rokny authored at least 78 papers between 2013 and 2025.

Collaborative distances:

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

2025

A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems.

Nazanin Ahmadi-Dastgerdi, Hossein Hosseini-Nejad, Hamid Alinejad-Rokny

Medical Biol. Eng. Comput., July, 2025

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics.

Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad-Rokny

CoRR, June, 2025

Training Superior Sparse Autoencoders for Instruct Models.

Jiaming Li, Haoran Ye, Yukun Chen, Xinyue Li, Lei Zhang, Hamid Alinejad-Rokny, Jimmy Chih-Hsien Peng, Min Yang

CoRR, June, 2025

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation.

Dingwei Chen, Ziqiang Liu, Feiteng Fang, Chak Tou Leong, Shiwen Ni, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang, Chengming Li

CoRR, June, 2025

ChARM: Character-based Act-adaptive Reward Modeling for Advanced Role-Playing Language Agents.

Feiteng Fang, Ting-En Lin, Yuchuan Wu, Xiong Liu, Xiang Huang, Dingwei Chen, Jing Ye, Haonan Zhang, Liang Zhu, Hamid Alinejad-Rokny, Min Yang, Fei Huang, Yongbin Li

CoRR, May, 2025

EVADE: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications.

Ancheng Xu, Zhihao Yang, Jingpeng Li, Guanghu Yuan, Longze Chen, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyun Chang, Hamid Alinejad-Rokny, Bo Zheng, Min Yang

CoRR, May, 2025

Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification.

Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny

CoRR, May, 2025

Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking.

Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, Nigel H. Lovell, Min Yang, Hamid Alinejad-Rokny

CoRR, May, 2025

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property.

Qiyao Wang, Guhong Chen, Hongbo Wang, Huaren Liu, Minghui Zhu, Zhifei Qin, Linwei Li, Yilin Yue, Shiqiang Wang, Jiayan Li, Yihang Wu, Ziqiang Liu, Longze Chen, Run Luo, Liyang Fan, Jiaming Li, Lei Zhang, Kan Xu, Hongfei Lin, Hamid Alinejad-Rokny, Shiwen Ni, Yuan Lin, Min Yang

CoRR, April, 2025

A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms.

Ahmadreza Argha, Hamid Alinejad-Rokny, Martin Baumgartner, Günter Schreier, Branko G. Celler, Stephen J. Redmond, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell

IEEE Trans. Biomed. Eng., February, 2025

xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking.

Sunbowen Lee, Shiwen Ni, Chi Wei, Shuaimin Li, Liyang Fan, Ahmadreza Argha, Hamid Alinejad-Rokny, Ruifeng Xu, Yicheng Gong, Min Yang

CoRR, January, 2025

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis.

Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Min Yang, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Yangyi Chen, Hamid Alinejad-Rokny, Fei Huang

CoRR, January, 2025

A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning.

Zhen Yu, Ruiye Chen, Peng Gui, Wei Wang, Imran Razzak, Hamid Alinejad-Rokny, Xiaomin Zeng, Xianwen Shang, Lei Zhang, Xiaohong Yang, Honghua Yu, Wenyong Huang, Huimin Lu, Peter van Wijngaarden, Mingguang He, Zhuoting Zhu, Zongyuan Ge

npj Digit. Medicine, 2025

SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks.

Sang-Woong Lee, Jawad Tanveer, Amir Masoud Rahmani, Hamid Alinejad-Rokny, Parisa Khoshvaght, Gholamreza Zare, Pegah Malekpour Alamdari, Mehdi Hosseinzadeh

Inf. Fusion, 2025

Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis.

Amirhosein Zobeiri, Alireza Rezaee, Farshid Hajati, Ahmadreza Argha, Hamid Alinejad-Rokny

Int. J. Medical Informatics, 2025

A comprehensive survey of golden jacal optimization and its applications.

Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani, Abed Alanazi, Monji Mohamed Zaidi, Khursheed Aurangzeb, Hamid Alinejad-Rokny, Thantrira Porntaveetus, Sang-Woong Lee

Comput. Sci. Rev., 2025

DEEM: Diffusion models serve as the eyes of large language models for image perception.

Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Hamid Rokny, Xiaobo Xia, Tongliang Liu, Binyuan Hui, Min Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LIME: Less Is More for MLLM Evaluation.

King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shuyue Guo, Tianyu Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Ruibo Liu, Xiang Yue, Jiaheng Liu, Chenghua Lin, Hamid Alinejad-Rokny, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Learning First-Order Logic Rules for Argumentation Mining.

Yang Sun, Guanrong Chen, Hamid Alinejad-Rokny, Jianzhu Bao, Yuqi Huang, Bin Liang, Kam-Fai Wong, Min Yang, Ruifeng Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Yongbin Li, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Hamid Alinejad-Rokny, Xiaobo Xia, Jingkuan Song, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Quantification of Large Language Model Distillation.

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xeron Du, Sirui He, Haihong Wu, Tianci Liu, Jiaheng Liu, Hamid Alinejad-Rokny, Min Yang, Yitao Liang, Zhoufutu Wen, Shiwen Ni

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CLaSp: In-Context Layer Skip for Self-Speculative Decoding.

Longze Chen, Renke Shan, Huiming Wang, Lu Wang, Ziqiang Liu, Run Luo, Jiawei Wang, Hamid Alinejad-Rokny, Min Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents.

Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Hamid Alinejad-Rokny, Shiwen Ni, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation.

Jiaming Li, Yukun Chen, Ziqiang Liu, Minghuan Tan, Lei Zhang, Yunshui Li, Run Luo, Longze Chen, Jing Luo, Ahmadreza Argha, Hamid Alinejad-Rokny, Wei Zhou, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks.

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems.

Nazanin Ahmadi-Dastgerdi, Hossein Hosseini-Nejad, Hamid Alinejad-Rokny

Int. J. Neural Syst., December, 2024

CNVDeep: deep association of copy number variants with neurocognitive disorders.

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

BMC Bioinform., December, 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

Small Language Model as Data Prospector for Large Language Model.

Shiwen Ni, Haihong Wu, Di Yang, Qiang Qu, Hamid Alinejad-Rokny, Min Yang

CoRR, 2024

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation.

Qiyao Wang, Shiwen Ni, Huaren Liu, Shule Lu, Guhong Chen, Xi Feng, Chi Wei, Qiang Qu, Hamid Alinejad-Rokny, Yuan Lin, Min Yang

CoRR, 2024

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance.

Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi

CoRR, 2024

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks.

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad

CoRR, 2024

Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies.

Amir Masoud Rahmani, Amir Haider, Mohammad Adeli, Olfa Mzoughi, Entesar Gemeay, Mokhtar Mohammadi, Hamid Alinejad-Rokny, Parisa Khoshvaght, Mehdi Hosseinzadeh

CoRR, 2024

3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection.

Alireza Sadeghi, Farshid Hajati, Alireza Rezaee, Mahdieh Sadeghi, Ahmadreza Argha, Hamid Alinejad-Rokny

Comput. Biol. Medicine, 2024

Deep learning in spatially resolved transcriptomics: a comprehensive technical view.

Roxana Zahedi, Reza Ghamsari, Ahmadreza Argha, Callum Macphillamy, Amin Beheshti, Roohallah Alizadehsani, Nigel H. Lovell, Mohammad Lotfollahi, Hamid Alinejad-Rokny

Briefings Bioinform., 2024

CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare.

Jingwei Zhu, Minghuan Tan, Min Yang, Ruixue Li, Hamid Alinejad-Rokny

Proceedings of the Social Robotics - 16th International Conference, 2024

Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models.

Afshin Shoeibi, Marjane Khodatars, Hamid Alinejad-Rokny, Jónathan Heras, Sara Bagherzadeh, Amin Beheshti, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model.

Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications.

Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 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