Search Results - subject:"Autoencoder"

Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images

Zaman Farsa, Davood; Rahnamayan, Shahryar; Bidgoli, … - In: Computers & operations research : an international journal 162 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014560612

Asset pricing via the conditional quantile variational autoencoder

Yang, Xuanling; Zhu, Zhoufan; Li, Dong; Zhu, Ke - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 2, pp. 681-694

Persistent link: https://www.econbiz.de/10015053443

Variational AutoEncoders-LSTM based fault detection of time-dependent high dimensional processes

Maged, Ahmed; Lui, Chun Fai; Haridy, Salah; Xie, Min - In: International journal of production research 62 (2024) 4, pp. 1092-1107

Persistent link: https://www.econbiz.de/10014458499

Convergence technology opportunity discovery for firms based on technology portfolio using the stacked denoising autoencoder (SDAE)

Kwon, Deuksin; Sohn, So Young - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 1804-1818

Persistent link: https://www.econbiz.de/10015405267

Autoencoder-based detector for distinguishing process anomaly and sensor failure

Lee, Chia-Yen; Chang, Kai; Ho, Chien - In: International journal of production research 62 (2024) 19, pp. 7130-7145

Persistent link: https://www.econbiz.de/10015084972

Sentiment analysis-based automatic stress and emotion recognition using weighted fused fusion-based cascaded DTCN with attention mechanism from EEG signal

Kathole, Atul B.; Lonare, Savita; Dharmale, Gulbakshee; … - In: Journal of information & knowledge management : JIKM 23 (2024) 5, pp. 1-37

Persistent link: https://www.econbiz.de/10015591939

Regularization of autoencoders for bank client profiling based on financial transactions

Filchenkov, Andrey; Khanzhina, Natalia; Tsai, Arina; … - In: Risks : open access journal 9 (2021) 3, pp. 1-16

verify our hypothesis applying data driven regularized classification using an autoencoder to client profiles. To model an … intention as a hidden variable, we propose an especially designed regularizer for the autoencoder. The regularizer aims to …

Persistent link: https://www.econbiz.de/10012508541

An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination

Gunduz, Hakan - In: Financial innovation : FIN 7 (2021), pp. 1-24

In this study, the hourly directions of eight banking stocks in Borsa Istanbul were predicted using linear-based, deep-learning (LSTM) and ensemble learning (LightGBM) models. These models were trained with four different feature sets and their performances were evaluated in terms of accuracy...

Persistent link: https://www.econbiz.de/10012510234

Shallow or deep? : training an autoencoder to detect anomalous flows in a retail payment system

Sabetti, Leonard; Heijmans, Ronald - In: Latin American journal of central banking : LAJCB 2 (2021) 2, pp. 1-14

Our paper applies a deep neural network autoencoder (AE) to detect anomalous payment flows in Canada's retail batch …

Persistent link: https://www.econbiz.de/10012545873

Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system

Sabetti, Leonard; Heijmans, Ronald - In: Latin American Journal of Central Banking (LAJCB) 2 (2021) 2, pp. 1-14

Our paper applies a deep neural network autoencoder (AE) to detect anomalous payment flows in Canada's retail batch …

Persistent link: https://www.econbiz.de/10015595253