Hamid Alinejad-Rokny

100 papers A* 3B 2Misc 4Journal 76Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing autonomous driving systems: A 3-dimensional U-Net framework for object detection via fusion of camera and LiDAR sensors. Inf. Sci. Ali Foroutannia, Afshin Shoeibi, Amin Beheshti, Hamid Alinejad-Rokny, Sai Ho Ling, Hak-Keung Lam
2026	A*	`conf`	Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates. AAAI Shuaimin Li, Liyang Fan, Yufang Lin, Zeyang Li, Xian Wei, Shiwen Ni, Hamid Alinejad-Rokny, Min Yang
2026	J	`jnl`	Beyond Quantity: Trajectory Diversity Scaling for Code Agents. CoRR Guhong Chen, Chenghao Sun, Cheng Fu, Qiyao Wang, Zhihong Huang, Chaopeng Wei, Guangxu Chen, Feiteng Fang, Ahmadreza Argha, Bing Zhao, Xander Xu, Qi Han, Hamid Alinejad-Rokny, Qiang Qu, Binhua Li, Shiwen Ni, Min Yang, Hu Wei, Yongbin Li
2026	J	`jnl`	CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs. CoRR Siyi Li, Jiajun Shi, Shiwen Ni, Ge Zhang, Shuaimin Li, Shijian Wang, Zhoufutu Wen, Yizhi Li, Hamid Alinejad-Rokny, Jiaheng Liu, Min Yang, Wenhao Huang
2026	J	`jnl`	Comprehensive evaluation of ACMG/AMP-based variant classification tools. Bioinform. Tohid Ghasemnejad, Yuheng Liang, Khadijeh Jahanian, Milad Eidi, Arash Salmaninejad, Seyedeh Sedigheh Abedini, Fabrizzio Horta, Nigel H. Lovell, Thantrira Porntaveetus, Mark Grosser, Mahmoud Aarabi, Hamid Alinejad-Rokny
2026	J	`jnl`	FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration. CoRR Qiyao Wang, Hongbo Wang, Longze Chen, Zhihao Yang, Guhong Chen, Hamid Alinejad-Rokny, Hui Li, Yuan Lin, Min Yang
2026	J	`jnl`	RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning. CoRR Yukun Chen, Jiaming Li, Longze Chen, Ze Gong, Jingpeng Li, Zhen Qin, Hengyu Chang, Ancheng Xu, Zhihao Yang, Hamid Alinejad-Rokny, Qiang Qu, Bo Zheng, Min Yang
2026	J	`jnl`	SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation. CoRR Jiahao Zhao, Feng Jiang, Shaowei Qin, Zhonghui Zhang, Junhao Liu, Guibing Guo, Hamid Alinejad-Rokny, Min Yang
2025	J	`jnl`	A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms. IEEE Trans. Biomed. Eng. Ahmadreza Argha, Hamid Alinejad-Rokny, Martin Baumgartner, Günter Schreier, Branko G. Celler, Stephen J. Redmond, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell
2025	J	`jnl`	A comprehensive survey of golden jacal optimization and its applications. Comput. Sci. Rev. Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani, Abed Alanazi, Monji Mohamed Zaidi, Khursheed Aurangzeb, Hamid Alinejad-Rokny, Thantrira Porntaveetus, Sang-Woong Lee
2025	J	`jnl`	A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning. npj Digit. Medicine 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
2025	J	`jnl`	A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems. Medical Biol. Eng. Comput. Nazanin Ahmadi-Dastgerdi, Hossein Hosseini-Nejad, Hamid Alinejad-Rokny
2025	—	`conf`	AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents. ACL (Findings) Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Hamid Alinejad-Rokny, Shiwen Ni, Min Yang
2025	J	`jnl`	Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates. CoRR Shuaimin Li, Liyang Fan, Yufang Lin, Zeyang Li, Xian Wei, Shiwen Ni, Hamid Alinejad-Rokny, Min Yang
2025	A*	`conf`	Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. AAAI Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad
2025	—	`conf`	CLaSp: In-Context Layer Skip for Self-Speculative Decoding. ACL (1) Longze Chen, Renke Shan, Huiming Wang, Lu Wang, Ziqiang Liu, Run Luo, Jiawei Wang, Hamid Alinejad-Rokny, Min Yang
2025	J	`jnl`	CLaSp: In-Context Layer Skip for Self-Speculative Decoding. CoRR Longze Chen, Renke Shan, Huiming Wang, Lu Wang, Ziqiang Liu, Run Luo, Jiawei Wang, Hamid Alinejad-Rokny, Min Yang
2025	J	`jnl`	ChARM: Character-based Act-adaptive Reward Modeling for Advanced Role-Playing Language Agents. CoRR 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
2025	B	`conf`	ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. SMC Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi
2025	J	`jnl`	EVADE: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications. CoRR 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
2025	J	`jnl`	Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification. CoRR Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
2025	A*	`conf`	Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation. EMNLP Dingwei Chen, Ziqiang Liu, Feiteng Fang, Chak Tou Leong, Shiwen Ni, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang, Chengming Li
2025	J	`jnl`	Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation. CoRR Dingwei Chen, Ziqiang Liu, Feiteng Fang, Chak Tou Leong, Shiwen Ni, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang, Chengming Li
2025	J	`jnl`	Gradient surgery: A necessity for robust test-time adaptation for detecting casting defects. Eng. Appl. Artif. Intell. Afshar Shamsi Jokandan, Rejisa Becirovic, Hamid Alinejad-Rokny, Arash Mohammadi, Ahmadreza Argha
2025	J	`jnl`	IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property. CoRR 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
2025	J	`jnl`	Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking. CoRR Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, Nigel H. Lovell, Min Yang, Hamid Alinejad-Rokny
2025	—	`conf`	LIME: Less Is More for MLLM Evaluation. ACL (Findings) 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
2025	—	`conf`	Learning First-Order Logic Rules for Argumentation Mining. ACL (1) Yang Sun, Guanrong Chen, Hamid Alinejad-Rokny, Jianzhu Bao, Yuqi Huang, Bin Liang, Kam-Fai Wong, Min Yang, Ruifeng Xu
2025	—	`conf`	MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct. ACL (Findings) 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
2025	J	`jnl`	One Model to Critique Them All: Rewarding Agentic Tool-Use via Efficient Reasoning. CoRR Renhao Li, Jianhong Tu, Yang Su, Hamid Alinejad-Rokny, Derek F. Wong, Junyang Lin, Min Yang
2025	J	`jnl`	OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis. CoRR 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
2025	J	`jnl`	Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis. Int. J. Medical Informatics Amirhosein Zobeiri, Alireza Rezaee, Farshid Hajati, Ahmadreza Argha, Hamid Alinejad-Rokny
2025	—	`conf`	Quantification of Large Language Model Distillation. ACL (1) 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
2025	—	`conf`	RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation. BIBM Jiahao Zhao, Luxin Xu, Minghuan Tan, Lichao Zhang, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang
2025	J	`jnl`	RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation. CoRR Jiahao Zhao, Luxin Xu, Minghuan Tan, Lichao Zhang, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang
2025	J	`jnl`	SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks. Inf. Fusion Sang-Woong Lee, Jawad Tanveer, Amir Masoud Rahmani, Hamid Alinejad-Rokny, Parisa Khoshvaght, Gholamreza Zare, Pegah Malekpour Alamdari, Mehdi Hosseinzadeh
2025	—	`conf`	STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation. ACL (Findings) 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
2025	J	`jnl`	STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation. CoRR 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
2025	J	`jnl`	SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics. CoRR Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad-Rokny
2025	J	`jnl`	Structuring Reasoning for Complex Rules Beyond Flat Representations. CoRR Zhihao Yang, Ancheng Xu, Jingpeng Li, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyun Chang, Ahmadreza Argha, Hamid Alinejad-Rokny, Minghuan Tan, Yujun Cai, Min Yang
2025	J	`jnl`	Training Superior Sparse Autoencoders for Instruct Models. CoRR Jiaming Li, Haoran Ye, Yukun Chen, Xinyue Li, Lei Zhang, Hamid Alinejad-Rokny, Jimmy Chih-Hsien Peng, Min Yang
2025	J	`jnl`	xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking. CoRR Sunbowen Lee, Shiwen Ni, Chi Wei, Shuaimin Li, Liyang Fan, Ahmadreza Argha, Hamid Alinejad-Rokny, Ruifeng Xu, Yicheng Gong, Min Yang
2024	J	`jnl`	3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection. Comput. Biol. Medicine Alireza Sadeghi, Farshid Hajati, Alireza Rezaee, Mahdieh Sadeghi, Ahmadreza Argha, Hamid Alinejad-Rokny
2024	J	`jnl`	A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs. IEEE Trans. Comput. Biol. Bioinform. Imran Razzak, Saeeda Naz, Hamid Alinejad-Rokny, Tu N. Nguyen, Fahmi Khalifa
2024	J	`jnl`	A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems. Int. J. Neural Syst. Nazanin Ahmadi-Dastgerdi, Hossein Hosseini-Nejad, Hamid Alinejad-Rokny
2024	J	`jnl`	AutoPatent: A Multi-Agent Framework for Automatic Patent Generation. CoRR Qiyao Wang, Shiwen Ni, Huaren Liu, Shule Lu, Guhong Chen, Xi Feng, Chi Wei, Qiang Qu, Hamid Alinejad-Rokny, Yuan Lin, Min Yang
2024	J	`jnl`	Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. CoRR Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad
2024	J	`jnl`	CNVDeep: deep association of copy number variants with neurocognitive disorders. BMC Bioinform. Zahra Rahaie, Hamid R. Rabiee, Hamid Alinejad-Rokny
2024	—	`conf`	CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare. ICSR + InnoBiz Jingwei Zhu, Minghuan Tan, Min Yang, Ruixue Li, Hamid Alinejad-Rokny
2024	J	`jnl`	CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare. CoRR Jingwei Zhu, Minghuan Tan, Min Yang, Ruixue Li, Hamid Alinejad-Rokny
2024	J	`jnl`	Deep learning in spatially resolved transcriptomics: a comprehensive technical view. Briefings Bioinform. Roxana Zahedi, Reza Ghamsari, Ahmadreza Argha, Callum Macphillamy, Amin Beheshti, Roohallah Alizadehsani, Nigel H. Lovell, Mohammad Lotfollahi, Hamid Alinejad-Rokny
2024	Misc	`conf`	Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models. IWINAC Afshin Shoeibi, Marjane Khodatars, Hamid Alinejad-Rokny, Jónathan Heras, Sara Bagherzadeh, Amin Beheshti, Juan Manuel Górriz
2024	J	`jnl`	ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. CoRR Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi
2024	Misc	`conf`	Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. IWINAC Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Górriz
2024	J	`jnl`	Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. Appl. Intell. Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz
2024	J	`jnl`	Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies. CoRR Amir Masoud Rahmani, Amir Haider, Mohammad Adeli, Olfa Mzoughi, Entesar Gemeay, Mokhtar Mohammadi, Hamid Alinejad-Rokny, Parisa Khoshvaght, Mehdi Hosseinzadeh
2024	Misc	`conf`	Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. IWINAC Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz
2024	J	`jnl`	MethEvo: an accurate evolutionary information-based methylation site predictor. Neural Comput. Appl. Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, Md. Easin Arafat, Swakkhar Shatabda, Hamid Alinejad-Rokny, Iman Dehzangi
2024	J	`jnl`	Small Language Model as Data Prospector for Large Language Model. CoRR Shiwen Ni, Haihong Wu, Di Yang, Qiang Qu, Hamid Alinejad-Rokny, Min Yang
2023	J	`jnl`	A comparison of deep neural network models for cluster cancer patients through somatic point mutations. J. Ambient Intell. Humaniz. Comput. Pouria Parhami, Mansoor Fateh, Mohsen Rezvani, Hamid Alinejad-Rokny
2023	J	`jnl`	A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
2023	J	`jnl`	ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 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
2023	—	`conf`	Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm. EMBC Ahmadreza Argha, Joan Li, Joseph Magdy, Hamid Alinejad-Rokny, Branko G. Celler, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell
2023	J	`jnl`	Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine 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
2023	J	`jnl`	DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants. PLoS Comput. Biol. Zahra Rahaie, Hamid R. Rabiee, Hamid Alinejad-Rokny
2023	J	`jnl`	Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 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
2023	J	`jnl`	Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023. CoRR Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz
2023	Misc	`conf`	HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. ICASSP Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi
2023	—	`conf`	Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion. DSP Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad-Rokny
2023	J	`jnl`	Learning Distributed Representations and Deep Embedded Clustering of Texts. Algorithms Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny
2023	—	`conf`	Revisiting Transfer Learning Method for Tuberculosis Diagnosis. EMBC Seng Hansun, Ahmadreza Argha, Hamid Alinejad-Rokny, Siaw-Teng Liaw, Branko G. Celler, Guy B. Marks
2023	J	`jnl`	Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny
2023	J	`jnl`	Swarm Intelligence in Internet of Medical Things: A Review. Sensors 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
2022	J	`jnl`	Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR 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
2022	J	`jnl`	Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR 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
2022	J	`jnl`	Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm. IEEE Trans. Instrum. Meas. Ahmadreza Argha, Branko G. Celler, Hamid Alinejad-Rokny, Nigel H. Lovell
2022	J	`jnl`	Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments. PLoS Comput. Biol. Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest
2022	J	`jnl`	Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. Comput. Biol. Medicine 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
2022	B	`conf`	Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. DSAA Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny
2022	J	`jnl`	HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. CoRR Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi
2022	J	`jnl`	Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer. BMC Bioinform. Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel H. Lovell, Hamid R. Rabiee, Hamid Alinejad-Rokny
2022	J	`jnl`	MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments. PLoS Comput. Biol. Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R. Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R. R. Forrest
2022	J	`jnl`	Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types. BMC Bioinform. Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh-sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi
2022	—	`conf`	iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data. AIED (2) Nasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny
2021	J	`jnl`	A multi-level consensus function clustering ensemble. Soft Comput. Kim-Hung Pho, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Hamid Alinejad-Rokny
2021	J	`jnl`	A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. J. Biomed. Informatics Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny
2021	—	`conf`	Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. AIED (2) Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis
2021	J	`jnl`	Consensus function based on cluster-wise two level clustering. Artif. Intell. Rev. Mohammad Reza Mahmoudi, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Vahideh Rezaie, Hamid Alinejad-Rokny
2021	J	`jnl`	NeuroCirc: an integrative resource of circular RNA expression in the human brain. Bioinform. Kieran Walsh, Akira Gokool, Hamid Alinejad-Rokny, Irina Voineagu
2020	J	`jnl`	Deep feature learnt by conventional deep neural network. Comput. Electr. Eng. Huan Niu, Wei Xu, Hamidreza Akbarzadeh, Hamid Parvin, Amin Beheshti, Hamid Alinejad-Rokny
2020	J	`jnl`	User and item profile expansion for dealing with cold start problem. J. Intell. Fuzzy Syst. Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz, Hamid Alinejad-Rokny
2019	—	`ch.`	Transcriptomic Data Normalization. Encyclopedia of Bioinformatics and Computational Biology (2) Fatemeh Vafaee, Hamed Dashti, Hamid Alinejad-Rokny
2018	J	`jnl`	Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions. Neurocomputing Ali Kalantari, Amirrudin Kamsin, Shahaboddin Shamshirband, Abdullah Gani, Hamid Alinejad-Rokny, Anthony T. Chronopoulos
2018	J	`jnl`	Machine learning and data mining techniques for medical complex data analysis. Neurocomputing Hamid Alinejad-Rokny, Esmaeil Sadroddiny, Vinod Scaria
2015	J	`jnl`	A method to avoid errors associated with the analysis of hypermutated viral sequences by alignment-based methods. J. Biomed. Informatics Hamid Alinejad-Rokny, Diako Ebrahimi
2015	J	`jnl`	Proposing a classifier ensemble framework based on classifier selection and decision tree. Eng. Appl. Artif. Intell. Hamid Parvin, Miresmaeil Mirnabibaboli, Hamid Alinejad-Rokny
2014	J	`jnl`	Data Aggregation in Wireless Sensor Networks Based on Environmental Similarity: A Learning Automata Approach. J. Networks Mohammad Ahmadinia, Hamid Alinejad-Rokny, Hojjatollah Ahangarikiasari
2014	J	`jnl`	Effects of resampling method and adaptation on clustering ensemble efficacy. Artif. Intell. Rev. Behrouz Minaei-Bidgoli, Hamid Parvin, Hamid Alinejad-Rokny, Hosein Alizadeh, William F. Punch
2013	J	`jnl`	A new classifier ensemble methodology based on subspace learning. J. Exp. Theor. Artif. Intell. Hamid Parvin, Hamid Alinejad-Rokny, Behrouz Minaei-Bidgoli, Sajad Parvin
2013	J	`jnl`	Data weighing mechanisms for clustering ensembles. Comput. Electr. Eng. Hamid Parvin, Behrouz Minaei-Bidgoli, Hamid Alinejad-Rokny, William F. Punch