Search Results - subject:"multimodal data"

Introducing machine-learning-based data fusion methods for analyzing multimodal data : an application of measuring trustworthiness of microenterprises

Luo, Xueming; Jia, Nan; Ouyang, Erya; Fang, Zheng - In: Strategic management journal 45 (2024) 8, pp. 1597-1629

Persistent link: https://www.econbiz.de/10015114624

Multimodal image fusion : a systematic review

Kalamkar, Shrida; Geetha Mary A. - In: Decision analytics journal 9 (2023), pp. 1-16

Multimodal image fusion combines information from multiple modalities to generate a composite image containing complementary information. Multimodal image fusion is challenging due to the heterogeneous nature of data, misalignment and nonlinear relationships between input data, or incomplete...

Persistent link: https://www.econbiz.de/10014532389

Stock price crash prediction based on multimodal data machine learning models

Sheng, Yankai; Qu, Yuanyu; Ma, Ding - In: Finance research letters 62 (2024) 1, pp. 1-8

Persistent link: https://www.econbiz.de/10014530961

Assessing the helpfulness of hotel reviews for information overload : a multi-view spatial feature approach

Liu, Yang; Ding, Xingchen; Chi, Maomao; Wu, Jiang; Ma, Lili - In: Information technology & tourism 26 (2024) 1, pp. 59-87

Persistent link: https://www.econbiz.de/10014452337

A multimodal data-driven approach for driving risk assessment

Bai, Congcong; Jin, Sheng; Jing, Jun; Yang, Chengcheng; … - In: Transportation research : an international journal 189 (2024), pp. 1-26

Persistent link: https://www.econbiz.de/10015095401

Multimodal Fast–Slow Neural Network for learning engagement evaluation

Zhang, Lizhao; Hung, Jui-Long; Du, Xu; Li, Hao; Hu, Zhuang - In: Data Technologies and Applications 57 (2023) 3, pp. 418-435

identify individuals' engagement automatically in the classroom with multimodal data for supporting educational research … the reasons for the better performance of the proposed FSNN. Originality/value This study combined multimodal data from … asynchronous process to deal with the problem of remaining sequential information when facing multimodal data with different …

Persistent link: https://www.econbiz.de/10014712685

A note on the Gao et al. (2019) uniform mixture model in the case of regression

Tsionas, Efthymios G.; Andrikopoulos, Athanasios - 2020

Persistent link: https://www.econbiz.de/10012243051