Search Results - "Semi-supervised Autoencoder"

Exploring Semi-Supervised Autoencoders: An Approach to Classify Psychotic Disorders through Proteomic Imbalanced Data

Explorando Autoencoders Semi-Supervisionados: Uma Abordagem para Classificar Distúrbios Psicóticos através de Dados Proteómicos não Balenceados

Authors: Ribeiro, Mariana Montenegro

Subject Terms: Psychotic Disorders, Semi-supervised Autoencoder, Deep Learning, Proteomic Data, Mass Spectrometry, Perturbações Psicóticas, Autoencoder Semi-supervisionado, Dados Proteómicos, Espectrometria de Massa

Availability: https://hdl.handle.net/10316/117998

FairSwiRL: fair semi-supervised classification with representation learning

Authors: Yang, Shuyi Cerrato, Mattia Ienco, Dino et al.

Contributors: Yang, Shuyi Cerrato, Mattia Ienco, Dino et al.

Source: Machine Learning. 112:3051-3076

Subject Terms: Machine Learning, Fairness, semi-supervised autoencoder, fairness, deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Semi-supervised Learning, 02 engineering and technology, [INFO] Computer Science [cs], Classification

File Description: application/pdf

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum

Authors: Hee-Deok Jang Seokjoon Kwon Hyunwoo Nam et al.

Source: Sensors, Vol 24, Iss 11, p 3601 (2024)

Subject Terms: chemical warfare agent, chemical gas classification, Fourier transform infrared, deep neural network, semi-supervised autoencoder, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/24/11/3601; https://doaj.org/toc/1424-8220; https://doaj.org/article/c9e861611d4d47a9936fd04301e21405

Availability: https://doi.org/10.3390/s24113601
https://doaj.org/article/c9e861611d4d47a9936fd04301e21405

Fair Semi-supervised Representation Learning for Tabular Data Classification

Authors: Shuyi Yang Mattia Cerrato Dino Ienco et al.

Subject Terms: semi-supervised autoencoder, fairness, deep neural networks

File Description: application/pdf

Access URL: https://ceur-ws.org/Vol-3478/paper51.pdf
https://hdl.handle.net/2318/1931555

A Semi-Supervised Autoencoder With an Auxiliary Task (SAAT) for Power Transformer Fault Diagnosis Using Dissolved Gas Analysis

Authors: Sunuwe Kim Soo-Ho Jo Wongon Kim et al.

Source: IEEE Access, Vol 8, Pp 178295-178310 (2020)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, power transformer, Semi-supervised autoencoder, health feature space, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fault diagnosis, dissolved gas analysis, 7. Clean energy, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09210082.pdf
https://doaj.org/article/30784f3cb1d24044b0f85653082d18ac
https://ieeexplore.ieee.org/document/9210082
https://dblp.uni-trier.de/db/journals/access/access8.html#KimJKPJHKY20

Exploring Semi-Supervised Autoencoders: An Approach to Classify Psychotic Disorders through Proteomic Imbalanced Data ; Explorando Autoencoders Semi-Supervisionados: Uma Abordagem para Classificar Distúrbios Psicóticos através de Dados Proteómicos não Balenceados

Authors: Ribeiro, Mariana Montenegro Manadas, Bruno José Fernandes Oliveira Arrais, Joel Perdiz

Contributors: Ribeiro, Mariana Montenegro Manadas, Bruno José Fernandes Oliveira Arrais, Joel Perdiz

Subject Terms: Psychotic Disorders, Semi-supervised Autoencoder, Deep Learning, Proteomic Data, Mass Spectrometry, Perturbações Psicóticas, Autoencoder Semi-supervisionado, Dados Proteómicos, Espectrometria de Massa

Relation: https://hdl.handle.net/10316/117998; 203826787

Availability: https://hdl.handle.net/10316/117998

scSSA: A clustering method for single cell RNA-seq data based on semi-supervised autoencoder.

Authors: Zhao JP Hou TS Su Y et al.

Source: Methods (San Diego, Calif.) [Methods] 2022 Dec; Vol. 208, pp. 66-74. Date of Electronic Publication: 2022 Oct 28.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9426302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9130 (Electronic) Linking ISSN: 10462023 NLM ISO Abbreviation: Methods Subsets: MEDLINE

MeSH Terms: Single-Cell Analysis*/methods , Gene Expression Profiling*/methods, Sequence Analysis, RNA/methods ; RNA-Seq ; Cluster Analysis ; RNA