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ORCIDMohamad Amin Pourhoseingholi
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Journal Articles
- 2024
[j1]Raheleh Talebi, Carlos A. Celis-Morales, Abolfazl Akbari, Atefeh Talebi, Nasrin Borumandnia
, Mohamad Amin Pourhoseingholi:
Machine learning-based classifiers to predict metastasis in colorectal cancer patients. Frontiers Artif. Intell. 7 (2024)
Informal and Other Publications
- 2024
- [i1]Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri, Hossein Toreyhi, Zahra Atf, Amirali Mohsenzadeh-Kermani, Mahshad Sarikhani, Zohreh Tajabadi, Fatemeh Shojaeian, Mohammad Hassan Bagheri, Aydin Feyzi, Mohammadamin Tarighatpayma, Narges Gazmeh, Fateme Heydari, Hossein Afshar, Amirreza Allahgholipour, Farid Alimardani, Ameneh Salehi, Naghmeh Asadimanesh, Mohammad Amin Khalafi, Hadis Shabanipour, Ali Moradi, Sajjad Hossein Zadeh, Omid Yazdani, Romina Esbati, Moozhan Maleki, Danial Samiei Nasr, Amirali Soheili, Hossein Majlesi, Saba Shahsavan, Alireza Soheilipour, Nooshin Goudarzi, Erfan Taherifard, Hamidreza Hatamabadi, Jamil S. Samaan, Thomas Savage, Ankit Sakhuja, Ali Soroush, Girish N. Nadkarni, Ilad Alavi Darazam, Mohamad Amin Pourhoseingholi, Seyed Amir Ahmad Safavi-Naini:
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data. CoRR abs/2409.02136 (2024)
Coauthor Index
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last updated on 2024-10-08 21:28 CEST by the dblp team
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