Zobrazeno 1 - 10
of 686
pro vyhledávání: '"Smith, Tony P."'
The rise of social media has amplified the spread of fake news, now further complicated by large language models (LLMs) like ChatGPT, which ease the generation of highly convincing, error-free misinformation, making it increasingly challenging for th
Externí odkaz:
http://arxiv.org/abs/2410.19517
Multi-label learning predicts a subset of labels from a given label set for an unseen instance while considering label correlations. A known challenge with multi-label classification is the long-tailed distribution of labels. Many studies focus on im
Externí odkaz:
http://arxiv.org/abs/2112.01718
Publikováno v:
The 2021 Australasian Joint Conference on Artificial Intelligence (AJCAI 2021)
There are many ways machine learning and big data analytics are used in the fight against the COVID-19 pandemic, including predictions, risk management, diagnostics, and prevention. This study focuses on predicting COVID-19 patient shielding -- ident
Externí odkaz:
http://arxiv.org/abs/2110.00183
Autor:
Gupta, Vikram F., Benvenuti, Teresa, Ronald, James, Cline, Brendan C., Befera, Nicholas T., Martin, Jonathan G., Pabon-Ramos, Waleska M., Sag, Alan A., Smith, Tony P., Suhocki, Paul V., Kim, Charles Y.
Publikováno v:
In Clinical Imaging June 2024 110
Machine learning-based multi-label medical text classifications can be used to enhance the understanding of the human body and aid the need for patient care. We present a broad study on clinical natural language processing techniques to maximise a fe
Externí odkaz:
http://arxiv.org/abs/2004.00430
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
City size distributions are known to be well approximated by power laws across a wide range of countries. But such distributions are also meaningful at other spatial scales, such as within certain regions of a country. Using data from China, France,
Externí odkaz:
http://arxiv.org/abs/1907.12289
Autor:
Seyferth, Elisabeth, Dai, Rui, Ronald, James, Martin, Jonathan G., Sag, Alan A., Befera, Nicholas, Pabon-Ramos, Waleska M., Suhocki, Paul V., Smith, Tony P., Kim, Charles Y.
Publikováno v:
In Journal of Vascular and Interventional Radiology March 2022 33(3):286-294
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Swenson, Christopher, Martin, Jonathan G., Jaffe, Tracy, Gupta, Rajan T., Sag, Alan A., Befera, Nicholas T., Pabon-Ramos, Waleska M., Suhocki, Paul V., Smith, Tony P., Kim, Charles Y., Ronald, James
Publikováno v:
In Journal of Vascular and Interventional Radiology September 2021 32(9):1310-1318