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Hamid Nasiri

Observed names: H. Nasiri, Nasiri, H., Nasiri, Hamid
ORCID: 0000-0002-9279-6063
Observed ORCID: 0000-0002-9279-6063
OpenAlex ID: A5023442370
Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
2022 · Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, et al. · Computers & Electrical Engineering · 117
Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
2023 · Alireza Maleki, Mohammad Raahemi, et al. · Biomedical Signal Processing and Control · 111
A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images
2022 · Hamid Nasiri, Seyyed Ali Alavi · Computational Intelligence and Neuroscience · 108
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MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
2022 · Hamid Nasiri, Mohammad Mehdi Ebadzadeh · Neurocomputing · 101
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
2022 · H. Nasiri, S. Hasani · Radiography · 101
Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development
2021 · S. Chehreh Chelgani, H. Nasiri, et al. · International Journal of Mining Science and Technology · 101
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Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition
2023 · Hamid Nasiri, Mohammad Mehdi Ebadzadeh · Applied Soft Computing · 78
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Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "conscious lab" approach
2022 · Rasoul Fatahi, Hamid Nasiri, et al. · Scientific Reports · 78
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Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach
2023 · S. Chehreh Chelgani, H. Nasiri, et al. · Powder Technology · 74
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Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using an explainable artificial intelligence
2021 · H. Nasiri, A. Homafar, et al. · Results in Geophysical Sciences · 58
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Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool- A “Conscious Lab” development
2021 · S. Chehreh Chelgani, H. Nasiri, et al. · Advanced Powder Technology · 57
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Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods
2023 · Alireza Farzipour, Roya Elmi, et al. · Diagnostics · 53
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Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method
2022 · A. Homafar, H. Nasiri, et al. · Fuel Communications · 44
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Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development
2022 · Rasoul Fatahi, Hamid Nasiri, et al. · Particulate Science And Technology · 42
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Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
2023 · Paria Ghaheri, Hamid Nasiri, et al. · Computer Methods in Biomechanics & Biomedical Engineering · 35
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Semantic schema based genetic programming for symbolic regression
2022 · Zahra Zojaji, Mohammad Mehdi Ebadzadeh, et al. · Applied Soft Computing · 30
CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach
2024 · Saeed Chehreh Chelgani, Arman Homafar, et al. · Minerals Engineering · 28
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Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm
2023 · Mohammed Abdallah, Babak Mohammadi, et al. · Energy Reports · 25
Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model
2024 · Hamid Nasiri, Ali Dadashi, et al. · Materials Today Communications · 24
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
2022 · Hamid Nasiri, Ghazal Kheyroddin, et al. · IEEE World AI IoT Congress (AIIoT) · 21
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RETRACTED ARTICLE: Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach
2024 · Danial Khayatian, Alireza Maleki, et al. · Multimedia Tools and Applications · 20
COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
2021 · Sharif Hasani, Hamid Nasiri · Software Impacts · 20
Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates
2023 · Saeid Saberi, Hamid Nasiri, et al. · Materials · 18
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Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
2022 · Mobina Ezzoddin, Hamid Nasiri, et al. · Iranian Conference on Machine Vision and Image Processing · 15
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PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease
2023 · Paria Ghaheri, Ahmadreza Shateri, et al. · Software Impacts · 14
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Works count: 52
Citation count: 1,442
H-index: 20
I10-index: 30
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