Search Results - subject:"representation learning"

Dynamic personalization with multiple customer signals : multi-response state representation in reinforcement learning

Ma, Liangzong; Huang, Ta-Wei; Ascarza, Eva; Israeli, Ayelet - 2025

Persistent link: https://www.econbiz.de/10015197090

TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives

Dai, Yongsheng; Wang, Hui; Rafferty, Karen; Spence, Ivor; … - 2024

-Supervised Representation Learning) for robust anomaly detection. TDSRL leverages synthetic anomaly segments which are artificially generated to …

Persistent link: https://www.econbiz.de/10014513943

TDSRL : Time Series Dual Self-Supervised Representation Learning for anomaly detection from different perspectives

Dai, Yongsheng; Wang, Hui; Rafferty, Karen; Spence, Ivor; … - 2024

-Supervised Representation Learning) for robust anomaly detection. TDSRL leverages synthetic anomaly segments which are artificially generated to …

Persistent link: https://www.econbiz.de/10014513955

A representation-learning approach for insurance pricing with images

Blier-Wong, Christopher; Lamontagne, Luc; Marceau, Etienne - In: ASTIN bulletin : the journal of the International … 54 (2024) 2, pp. 280-309

Persistent link: https://www.econbiz.de/10015055289

The use of autoencoders for training neural networks with mixed categorical and numerical features

Delong, Łukasz; Kozak, Anna - In: ASTIN bulletin : the journal of the International … 53 (2023) 2, pp. 213-232

Persistent link: https://www.econbiz.de/10014320194

A user segmentation method in heterogeneous open innovation communities based on multilayer information fusion and attention mechanisms

Daradkeh, Mohammad - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-19

The heterogeneity and diversity of users and external knowledge resources is a hallmark of open innovation communities (OICs). Although user segmentation in heterogeneous OICs is a prominent and recurring issue, it has received limited attention in open innovation research and practice. Most...

Persistent link: https://www.econbiz.de/10014329686

A user segmentation method in heterogeneous open innovation communities based on multilayer information fusion and attention mechanisms

Daradkeh, Mohammad - In: Journal of open innovation : technology, market, and … 8 (2022) 4, pp. 1-19

Persistent link: https://www.econbiz.de/10013413142

Enhancing vulnerability prioritization in cloud computing using multi-view representation learning

Ullman, Steven; Samtani, Sagar; Zhu, Hongyi; Lazarine, Ben - In: Journal of management information systems : JMIS 41 (2024) 3, pp. 708-743

Persistent link: https://www.econbiz.de/10015196831

Mega or micro? : influencer selection using follower elasticity

Tian, Zijun; Dew, Ryan; Iyengar, Radha - In: Journal of marketing research 61 (2024) 3, pp. 472-495

Persistent link: https://www.econbiz.de/10014584390

Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation

Shi, Yong; Qu, Yi; Chen, Zhensong; Mi, Yunlong; Wang, Yunong - In: European journal of operational research : EJOR 315 (2024) 2, pp. 786-801

Persistent link: https://www.econbiz.de/10014565302