Dynamic FPGA-accelerator sharing among concurrently running virtual machines. - Hamid Nasiri; Maziar Goudarzi (EWDTS, 2016)

Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities. - Hamid Nasiri; Saeed Nasehi; Maziar Goudarzi (J. Big Data, 2019)

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost. - Hamid Nasiri; Sharif Hasani (CoRR, 2021)

A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Images. - Hamid Nasiri; Seyyed Ali Alavi (CoRR, 2021)

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. - Hamid Nasiri; Ghazal Kheyroddin; Morteza Dorrigiv; Mona Esmaeili; Amir Raeisi Nafchi; Mohsen Haji Ghorbani; Payman Zarkesh-Ha (AIIoT, 2022)

Semantic schema based genetic programming for symbolic regression. - Zahra Zojaji; Mohammad Mehdi Ebadzadeh; Hamid Nasiri (Appl. Soft Comput., 2022)

Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods. - Mohammad Reza Abbasniya; Sayed Ali Sheikholeslamzadeh; Hamid Nasiri; Samaneh Emami (Comput. Electr. Eng., 2022)

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images. - Hamid Nasiri; Seyed Ali Alavi (Comput. Intell. Neurosci., 2022)

Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM. - Mobina Ezzoddin; Hamid Nasiri; Morteza Dorrigiv (CoRR, 2022)

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods. - Mohammad Reza Abbasniya; Sayed Ali Sheikholeslamzadeh; Hamid Nasiri; Samaneh Emami (CoRR, 2022)

Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method. - Paria Ghaheri; Hamid Nasiri; Ahmadreza Shateri; Arman Homafar (CoRR, 2022)

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction. - Hamid Nasiri; Mohammad Mehdi Ebadzadeh (Neurocomputing, 2022)

COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19. - Sharif Hasani; Hamid Nasiri (Softw. Impacts, 2022)

Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data. - Mona Esmaeili; Zeinab Akhavan; Hamid Nasiri; Yonatan Melese Worku; Sisay Tadesse Arzo; Andreas Stavropoulos; Michael Devetsikiotis; Payman Zarkesh-Ha (ICMLA, 2023)

SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost. - Alireza Farzipour; Roya Elmi; Hamid Nasiri (CoRR, 2023)

PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease. - Paria Ghaheri; Ahmadreza Shateri; Hamid Nasiri (Softw. Impacts, 2023)

Breast cancer diagnosis from histopathology images using deep neural network and XGBoost. - Alireza Maleki; Mohammad Raahemi; Hamid Nasiri (Biomed. Signal Process. Control., 2023)

Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition. - Hamid Nasiri; Mohammad Mehdi Ebadzadeh (Appl. Soft Comput., 2023)

H-Storm: A Hybrid CPU-FPGA Architecture to Accelerate Apache Storm. - Hamid Nasiri; Armin Darjani; Nima Kavand; Maziar Goudarzi (J. Grid Comput., 2023)

A scheduling algorithm to maximize storm throughput in heterogeneous cluster. - Hamid Nasiri; Saeed Nasehi; Arman Divband; Maziar Goudarzi (J. Big Data, 2023)

Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome. - Fatma Hilal Yagin; Ahmadreza Shateri; Hamid Nasiri; Burak Yagin; Cemil Colak; Abdullah F. Alghannam (PeerJ Comput. Sci., 2024)

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition. - Hamid Nasiri; Peter Garraghan (CoRR, 2025)

Green Prompting. - Marta Adamska; Daria Smirnova; Hamid Nasiri; Zhengxin Yu; Peter Garraghan (CoRR, 2025)

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm. - Ahmadreza Shateri; Negar Nourani; Morteza Dorrigiv; Hamid Nasiri (CoRR, 2025)

Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach. - Danial Khayatian; Alireza Maleki; Hamid Nasiri; Morteza Dorrigiv (Multim. Tools Appl., 2025)