Search Results - subject:"Autoencoder"

Constructing Social Vulnerability Indexes with Increased Data and Machine Learning Highlight the Importance of Wealth Across Global Contexts

Zhao, Yuan; Paul, Ronak; Reid, Sean; Coimbra Vieira, … - In: Social Indicators Research 175 (2024) 2, pp. 639-657

We consider the availability of new harmonized data sources and novel machine learning methodologies in the construction of a social vulnerability index (SoVI), a multidimensional measure that defines how individuals’ and communities may respond to hazards including natural disasters, economic...

Persistent link: https://www.econbiz.de/10015374964

Information-Constrained Coordination of Economic Behavior

Aridor, Guy; da Silveira, Rava Azeredo; Woodford, Michael - 2024

learned by a variational autoencoder (VAE). Our generalized VAE is optimized to trade off the average payoff obtained over a …

Persistent link: https://www.econbiz.de/10014534313

Use of autoencoder and one-hot encoding for customer segmentation

Smutek, Tomasz; Sikora, Janusz W.; Bogacki, Sylwester; … - In: European research studies journal : ERSJ 27 (2024), pp. 72-82

Persistent link: https://www.econbiz.de/10014543578

The autoencoder asset pricing model in the Chinese stock market

Shu, Qi; Xiong, Heng; Zhang, Gongqiu - In: Applied economics 58 (2026) 19, pp. 3603-3620

Persistent link: https://www.econbiz.de/10015638214

Localized global time series forecasting models using evolutionary neighbor-aided deep clustering method

Abbasimehr, Hossein; Noshad, Ali - In: Journal of forecasting 44 (2025) 5, pp. 1716-1733

Persistent link: https://www.econbiz.de/10015464714

Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data

Oh, YongKyung; Yoon, Kwonin; Park, Jaemin; Kim, Sungil - In: Maritime policy & management 52 (2025) 4, pp. 609-626

Persistent link: https://www.econbiz.de/10015442101

Predicting status of pre- and post-M&A deals using machine learning and deep learning techniques

Karatas, Tugce; Hirsa, Ali - In: Digital finance : smart data analytics, investment … 7 (2025) 1, pp. 61-106

Persistent link: https://www.econbiz.de/10015437292

A novel distributed fine-grained energy consumption monitoring for large-scale nonlinear dynamic industrial processes

Peng, Kaixiang; Wei, Yuzhe; Li, Tie; Qin, Xin; Dong, Jie - In: International journal of production research 63 (2025) 23, pp. 8727-8742

Persistent link: https://www.econbiz.de/10015555530

Explainable probabilistic forecasting for time series in supply chains : a latent auto-encoder approach

Hu, Hao; Wu, Yuting; Shi, Zhengxin; Qi, Yongzhi; Zhang, … - In: International journal of production research 63 (2025) 24, pp. 9933-9953

Persistent link: https://www.econbiz.de/10015555671

Modelling and solving sustainable supply chain network design based on graph autoencoder clustering algorithm

Guo, Yuhan; Chen, Runsheng; Boulaksil, Youssef; … - In: International journal of production research 63 (2025) 24, pp. 10000-10026

Persistent link: https://www.econbiz.de/10015555676