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Forecasting

Association of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) with 90-day mortality in acute pancreatitis: A MIMIC-IV database analysis

Jiali Xu, Jing Long, [ ... ], Liang Wang

Deep locomotion prediction learning over biosensors, ambient sensors, and computer vision

Madiha Javeed, Ahmad Jalal, Dina Abdulaziz AlHammadi, Bumshik Lee

Incorporating topical stance into signed bipartite networks for user retweet prediction

Lixia Li, Ziqing Chen, Haoran Ye, Yixuan Zhang

Trustworthy AI for medical decisions: Adversarially robust and fair machine learning prediction for Parkinson’s disease

Junaid Muhammad, Mitra Ghergherehchi, [ ... ], Nasir Rahim

A novel bridge wind-induced vibration response prediction algorithm based on temporal convolution network

Youlai Qu, Xiangrong Bai, Tianhao Zhu, Shixu Zuo

What type of relationship is learned during visual statistical learning?

İlayda Nazlı, Floris P. de Lange

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study

Anshul Thakur, Bernardo Meza-Torres, [ ... ], David A. Clifton

Investigating the predictive power of seismic statistical features using ensemble learning

Wei Quan, Denise Gorse

Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market

Morteza Amini, Sajedeh Javadi, Majid Soleimani-damaneh

Comparison of machine learning methods in forecasting and characterizing the birch and grass pollen season

Daniel Bulanda, Małgorzata Bulanda, [ ... ], Dorota Myszkowska

Method for predicting dynamic current-carrying capacity of transmission lines by integrating improved VMD and time-varying ensemble model

Siyu Yang, Wubang Hao

A refined maximum predictability for next location prediction with fusion knowledge

Liuhong Huang, Zhaocheng He, Xiying Li, Zhi Yu

Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning

Seung Jae Lee, Jin Hee Ahn, [ ... ], Jae-Geum Shim

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