Search Results - subject:"Autoencoders"

Did you mean: subject:"autoencoder" (76 results)

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

Entrepreneurship' sustainability of the popular and solidarity economy in Ecuador

Guachamín, Marcela; Rodríguez, Roberth; Mejía … - In: Regional science policy and practice : RSPP 17 (2025) 1, pp. 1-11

Unique Registry of PSE Organizations in Ecuador, we employ Variational Autoencoders (VAE) network for modeling, combined with …

Persistent link: https://www.econbiz.de/10015410953

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

This paper presents a framework to operationalize the multidimensional construct of a bank's business model (BBM). We conceptualize the construct from a structural perspective, defining it as its balance sheet's strategic composition and structure, encompassing asset allocation and funding...

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

Supervised autoencoder MLP for financial time series forecasting

Bieganowski, Bartosz; Ślepaczuk, Robert - 2024

Persistent link: https://www.econbiz.de/10014507808

A hybrid neural network and optimization algorithm for forecasting and trend detection of Forex market indices

Perla, Someswari; Bisoi, Ranjeeta; Dash, P. K. - 2023

An Autoencoder (AE) is an independent feature extractor from data samples and a deep network can be obtained by stacking several AEs. This paper presents a novel hybrid stacked Autoencoder-based Deep Kernel-based Random Vector Functional Link Network (DKRVFLN-AE) for forecasting and trend...

Persistent link: https://www.econbiz.de/10014506454

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

Deep dynamic factor models

Andreini, Paolo; Izzo, Cosimo; Ricco, Giovanni - 2023 - This version: 20 May 2023

Persistent link: https://www.econbiz.de/10014321022

Estimating the value-at-risk by temporal VAE

Buch, Robert; Grimm, Stefanie; Korn, Ralf; Richert, Ivo - In: Risks : open access journal 11 (2023) 5, pp. 1-26

autoencoders when learning sequential data, we use a temporal VAE (TempVAE) that avoids the use of an autoregressive structure for …

Persistent link: https://www.econbiz.de/10014303883

Product aesthetic design : a machine learning augmentation

Burnap, Alex; Hauser, John R.; Timoshenko, Artem - In: Marketing science 42 (2023) 6, pp. 1029-1056

Persistent link: https://www.econbiz.de/10014436737

AI agents for synthetic data generation in finance : enhancing security, privacy, and predictive analytics

Janakiraman, Anantharaman - In: The impact of Artificial Intelligence on finance : …, (pp. 33-51). 2025

Persistent link: https://www.econbiz.de/10015456468