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Mostrando ítems 31-40 de 259
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)
Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ...
Detecção de anomalias em poços de produção de petróleo offshore com a utilização de autoencoders e técnicas de reconhecimento de padrões
(Universidade Federal de LavrasPrograma de Pós-Graduação em Engenharia de Sistemas e AutomaçãoUFLAbrasilDepartamento de Engenharia, 2022)
Steps towards continual learning in multivariate time-series anomaly detection using variational autoencoders
(ACM, 2022)
We present DC-VAE, an approach to network anomaly detection in multivariate time-series (MTS), using Variational Auto Encoders (VAEs) and Dilated Convolutional Neural Networks (CNN). DC-VAE detects anomalies in MTS data ...
Dual reconstructive autoencoder for crowd localization and estimation in density and FIDT maps.
(Universidad de Concepción.Departamento de Ingeniería EléctricaDepartamento de Ingeniería Eléctrica., 2022)
This research proposes a novel crowd estimation technology to help authorities to make the
right decisions in times of crisis. Specifically, deep learning models have faced these challenges,
achieving excellent results. ...
Análisis del desempeño de autoencoders para aprender códigos lineales binarios
(Universidad del NorteMaestría en MatemáticasDepartamento de matemáticas y estadísticaBarranquilla, Colombia, 2022)
Discovering web services in social web service repositories using deep variational autoencoders
(Pergamon-Elsevier Science Ltd, 2020-07)
Web Service registries have progressively evolved to social networks-like software repositories. Users cooperate to produce an ever-growing, rich source of Web APIs upon which new value-added Web applications can be built. ...
Detección de fraude en reclamaciones de hogar bajo un enfoque de aprendizaje no supervisado : un caso de estudio
(Universidad EAFITMaestría en Ciencias de los Datos y AnalíticaEscuela de AdministraciónMedellín, 2022)
Desarrollo de un sistema prototipo de generación de rostros a partir de señales de voz utilizando redes generativas adversarias
(2022-01)
This work presents a prototype of a system of generation of faces through generative adversarial network. It is developed in two parts, the first the construction of the database for the training of the network and the ...
Neural networks for feature-extraction in multi-target classification
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-08-21)
Multi-target learning is a prediction task where each data example is associated with multiple target-variables (outputs) simultaneously. One of the challenges in this research field is related to the high dimensionality ...