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Forecasting

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

Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study

Shengtao Li, Zhanzhan Li, [ ... ], Yanyan Li

A modular and interpretable framework for tabular data analysis using LLaMA 7B: Enhancing preprocessing, modeling, and explainability with local language models

Shahab Ahmad Al Maaytah, Ayman Qahmash

Short-term forecasting and impact analysis of COVID-19 and the stock market in Morocco using ARIMA

N’Adoi Aboagye, Saralees Nadarajah

A machine learning framework for predicting fuel consumption and CO₂ emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation

Rania A. Ibrahim, Nahla E. Zakzouk

AI-based prediction of recurrence after carbon ion radiotherapy for early stage non-small cell lung cancer

Yuhei Miyasaka, Hanae Yoshida, [ ... ], Tatsuya Ohno

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