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Artificial intelligence strategies based on random forests for detection of AI-generated content in public health
| Title: | Artificial intelligence strategies based on random forests for detection of AI-generated content in public health | Authors: | Pantić, Igor V. |
Issue Date: | 2025 | Publication: | Public health | ISSN: | 0033-3506 Public Health Search Idenfier |
Publisher: | Amsterdam : Elsevier | Type: | Article | Collation: | vol. 242 str. 382-387 | DOI: | 10.1016/j.puhe.2025.03.029 | WoS-ID: | 001464989800001 | Scopus-ID: | 2-s2.0-105001733233 | PMID: | 40188709 | URI: | https://enauka.gov.rs/handle/123456789/978957 | URL: | https://www.sciencedirect.com/science/article/pii/S0033350625001489?via%3Dihub | Project: | Open Society Foundations (OSF) -Western Balkans OSF Alumni Program [C17/24] Ministry of Science, Technological Development and Innovation of the Republic of Serbia [45103-66/2024-03/200110] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21aM21a |
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