Výsledky vyhledávání - "Hernández, Miguel Angel"

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Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial

Autor: Chomutare, Taridzo, Svenning, Therese Olsen, Hernández, Miguel Ángel Tejedor, Ngo, Phuong Dinh, Budrionis, Andrius, Markljung, Kaisa, Hind, Lill Irene, Torsvik, Torbjørn, Mikalsen, Karl Øyvind, Babic, Aleksandar, Dalianis, Hercules

\textbf{Trial design} Crossover randomized controlled trial. \textbf{Methods} An AI tool, Easy-ICD, was developed to assist clinical coders and was tested for improving both accuracy and time in a user study in Norway and Sweden. Participants were ra

Externí odkaz: http://arxiv.org/abs/2410.23725

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WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks

Autor: Wornow, Michael, Narayan, Avanika, Viggiano, Ben, Khare, Ishan S., Verma, Tathagat, Thompson, Tibor, Hernandez, Miguel Angel Fuentes, Sundar, Sudharsan, Trujillo, Chloe, Chawla, Krrish, Lu, Rongfei, Shen, Justin, Nagaraj, Divya, Martinez, Joshua, Agrawal, Vardhan, Hudson, Althea, Shah, Nigam H., Re, Christopher

Existing ML benchmarks lack the depth and diversity of annotations needed for evaluating models on business process management (BPM) tasks. BPM is the practice of documenting, measuring, improving, and automating enterprise workflows. However, resear

Externí odkaz: http://arxiv.org/abs/2406.13264

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New approaches and error assessment to snow cover thickness and density using air temperature data at different heights

Autor: García-Maroto, Diego, Durán, Luis, Hernández, Miguel Ángel de Pablo

Publikováno v: (2024). Science of The Total Environment (Vol. 926, p. 171744). Elsevier BV

Snow poles are inexpensive systems composed of a wooden mast with temperature sensors affixed at varying heights with the purpose of estimating the snow depth. They are frequently utilised in cold, remote regions where the maintenance of complex moni

Externí odkaz: http://arxiv.org/abs/2402.02927

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