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https://doi.org/10.1016/j.trc.2021.103063This is the PrePublished Version.2Joint predictions of multimodal ridehailing demands: a deep multitask multigraph learningbased approach3Jintao Kea , Siyuan
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What is joint predictions of multi-modal?
Joint predictions of multi-modal refer to the process of combining and analyzing data from multiple sources or modes, such as text, images, and speech, to make more accurate predictions or decisions.
Who is required to file joint predictions of multi-modal?
Organizations or individuals who are involved in research or projects that utilize multiple data modalities for analysis or predictions are typically required to file joint predictions of multi-modal.
How to fill out joint predictions of multi-modal?
To fill out joint predictions of multi-modal, one must collect data from various modalities, ensure proper formatting, integrate the data, and provide detailed information about each modality used in the analysis.
What is the purpose of joint predictions of multi-modal?
The purpose of joint predictions of multi-modal is to enhance predictive accuracy, leverage diverse data types for a comprehensive analysis, and improve decision-making processes across different domains.
What information must be reported on joint predictions of multi-modal?
Information that must be reported includes the types of modalities used, data collection methods, analytic techniques applied, results of the predictions, and any limitations encountered during the process.
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