Search Results - subject:"Autoencoder"

Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks

Khan, Wasim; Abidin, Shafiqul; Arif, Mohammad; Ishrat, … - In: Data science and management : DSM 7 (2024) 2, pp. 89-98

possible data distribution, our model employs a dual variational autoencoder (VAE), while a generative adversarial network (GAN …

Persistent link: https://www.econbiz.de/10015063137

Towards an unsupervised learning scheme for efficiently solving parameterized mixed-integer programs

Qu, Shiyuan; Dong, Fenglian; Wei, Zhiwei; Shang, Chao - In: Computers & operations research : an international journal 185 (2026), pp. 1-12

Persistent link: https://www.econbiz.de/10015552389

Operationalization of the construct “Business model of a Bank”: clustering analyses with deep neural networks

Herdt, Manfred; Schulte-Mattler, Hermann - In: Journal of Banking Regulation 26 (2025) 3, pp. 392-407

deep autoencoder-based clustering (DAC) model to operationalize the construct and compare the results with the k -means and …

Persistent link: https://www.econbiz.de/10015484554

Operationalization of the construct "business model of a bank" : clustering analyses with deep neural networks

Herdt, Manfred; Schulte-Mattler, Hermann - In: Journal of banking regulation 26 (2025) 3, pp. 392-407

Persistent link: https://www.econbiz.de/10015486007

A novel federated transfer learning framework for credit card fraud detection under heterogeneous data conditions

Chen, Yutong; Zhang, Kai; Zhu, Hangyu; Qiu, Zihao - In: Risks : open access journal 13 (2025) 11, pp. 1-24

data. Additionally, the integration of a "private autoencoder + standard Gaussian alignment" mechanism stabilizes the …

Persistent link: https://www.econbiz.de/10015556389

Corporate risk stratification through an interpretable autoencoder-based model

Giuliani, Alessandro; Savona, Roberto; Carta, Salvatore; … - In: Computers & operations research : an international journal 174 (2025), pp. 1-16

Persistent link: https://www.econbiz.de/10015330149

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

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

AI-based pairs trading strategies: A novel approach to stock selection

Jung, Nak Hyun; Oh, Tae Yeon; Kim, Kang Hee - In: Global Business & Finance Review (GBFR) 29 (2024) 7, pp. 1-15

Purpose: This study aims to explore the optimization of Stock Pairs Trading Strategies' performance using AI techniques, with a focus on accurately evaluating stock similarities and selecting the most suitable pairs. Design/methodology/approach: A variety of AI models, including Autoencoders...

Persistent link: https://www.econbiz.de/10015098888

AI-based pairs trading strategies : a novel approach to stock selection

Jung, Nak Hyun; Oh, Tae Yeon; Kim, Kang Hee - In: Global business and finance review 29 (2024) 7, pp. 1-15

Persistent link: https://www.econbiz.de/10015069448

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