Search Results - "Supervised autoencoder"

Auto-Encoders Derivatives on Different Occluded Face Images: Comprehensive Review and New Results

Authors: Azin Masoudi Majid Ahmadi

Source: IEEE Access, Vol 13, Pp 195080-195103 (2025)

Subject Terms: Convolutional autoencoder, face recognition, occluded dataset, self-supervised autoencoder, smooth autoencoder, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11241209/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/886a0b5748c344619b5011623f9db382

A Fault Diagnosis Framework for Waterjet Propulsion Pump Based on Supervised Autoencoder and Large Language Model

Authors: Zhihao Liu Haisong Xiao Tong Zhang et al.

Source: Machines, Vol 13, Iss 8, p 698 (2025)

Subject Terms: waterjet propulsion pump, fault diagnosis, large language model, supervised autoencoder, feature extraction, few-shot learning, Mechanical engineering and machinery, TJ1-1570

File Description: electronic resource

Relation: https://www.mdpi.com/2075-1702/13/8/698; https://doaj.org/toc/2075-1702

Access URL: https://doaj.org/article/5b6bf9f028534072ada7fcdf5d09b176

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

Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network

Authors: Marin Truchi Caroline Lacoux Cyprien Gille et al.

Source: Frontiers in Bioinformatics, Vol 4 (2024)

Subject Terms: single-cell RNA-seq, lncRNAs, hypoxia, CRISPRi, sparse supervised autoencoder, Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fbinf.2024.1340339/full; https://doaj.org/toc/2673-7647

Access URL: https://doaj.org/article/961d2c23e9cc4a02a8c14cc9b774b873

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

Detecting subtle transcriptomic perturbations induced by lncRNAs Knock-Down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network

Authors: Marin Truchi Caroline Lacoux Cyprien Gille et al.

Contributors: Marin Truchi Caroline Lacoux Cyprien Gille et al.

Source: Front Bioinform
Frontiers in Bioinformatics, Vol 4 (2024)

Subject Terms: 0301 basic medicine, single-cell RNA-seq, hypoxia, Bioinformatics, Computer applications to medicine. Medical informatics, 0206 medical engineering, lncRNAs, R858-859.7, CRISPRi, 02 engineering and technology, 3. Good health, [SDV] Life Sciences [q-bio], sparse supervised autoencoder, 03 medical and health sciences, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38501112
https://doaj.org/article/961d2c23e9cc4a02a8c14cc9b774b873
https://amu.hal.science/hal-04883524v1
https://amu.hal.science/hal-04883524v1/document
https://doi.org/10.3389/fbinf.2024.1340339
https://hal.science/hal-04795816v1/document
https://hal.science/hal-04795816v1
https://doi.org/10.3389/fbinf.2024.1340339

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

Morphological Autoencoders for Beat-by-Beat Atrial Fibrillation Detection Using Single-Lead ECG

Authors: Rafael Silva Ana Fred Hugo Plácido da Silva

Source: Sensors, Vol 23, Iss 5, p 2854 (2023)

Subject Terms: atrial fibrillation detection, ECG morphological features, supervised autoencoder, automatic feature extraction, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/5/2854; https://doaj.org/toc/1424-8220; https://doaj.org/article/4e0615a14ccb40838580d46425adfe1f

Availability: https://doi.org/10.3390/s23052854
https://doaj.org/article/4e0615a14ccb40838580d46425adfe1f

Mitotic index determination on live cells from label-free acquired quantitative phase images using a supervised autoencoder

Authors: Pognonec, Philippe Gustovic, Axel Djabari, Zied et al.

Contributors: Pognonec, Philippe Gustovic, Axel Djabari, Zied et al.

Source: ISSN: 1545-5963.

Subject Terms: Mitotic index, non-invasive cell monitoring, Quantitative Phase Imaging (QPI), Supervised autoencoder, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [SDV]Life Sciences [q-bio]

Availability: https://hal.science/hal-03364377
https://hal.science/hal-03364377v1/document
https://hal.science/hal-03364377v1/file/Mitotic-final.pdf

Semi-supervised auto-encoder for facial attributes recognition

Authors: Soumaya Zaghbani Nouredine Boujneh Med Salim Bouhlel

Subject Terms: Age estimation, Deep learning, Gender recognition, Softmax classifier, Supervised autoencoder

Relation: https://zenodo.org/records/3945560; oai:zenodo.org:3945560; https://doi.org/10.12928/TELKOMNIKA.v18i4.14836

Availability: https://doi.org/10.12928/TELKOMNIKA.v18i4.14836
https://zenodo.org/records/3945560

Single-slice Alzheimer's disease classification and disease regional analysis with supervised switching autoencoders

Authors: Mendoza-Léon, Ricardo Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Radiología e Imágenes Diagnósticas Pontificia Universidad Javeriana. Facultad de Medicina. Hospital Universitario San Ignacio

Contributors: Mendoza-Léon, Ricardo Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Radiología e Imágenes Diagnósticas Pontificia Universidad Javeriana. Facultad de Medicina. Hospital Universitario San Ignacio

Subject Terms: Alzheimer disease, Supervised autoencoder, Supervised switching autoencoder, Convolutional neural networks, Representation learning, Magnetic resonance imaging

File Description: PDF; application/pdf

Relation: 14; Computers in Biology and Medicine; 116; https://www.sciencedirect.com/science/article/pii/S0010482519303865?via%3Dihub; https://hdl.handle.net/10554/53823; https://doi.org/10.1016/j.compbiomed.2019.103527; instname:Pontificia Universidad Javeriana; repourl:https://repository.javeriana.edu.co

Availability: https://hdl.handle.net/10554/53823
https://www.sciencedirect.com/science/article/pii/S0010482519303865?via%3Dihub
https://doi.org/10.1016/j.compbiomed.2019.103527

Adversarial-Free Speaker Identity-Invariant Representation Learning for Automatic Dysarthric Speech Classification

Authors: Janbakhshi, Parvaneh Kodrasi, Ina

Subject Terms: Acoustics, Audiology & Speech-Language Pathology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, parkinson's disease, speaker identity, feature separation, supervised autoencoder, mutual information, parkinsons-disease

Relation: Interspeech 2022; Interspeech; Interspeech Conference; https://infoscience.epfl.ch/handle/20.500.14299/196431; WOS:000900724502063

Availability: https://doi.org/10.21437/Interspeech.2022-402
https://infoscience.epfl.ch/handle/20.500.14299/196431
https://hdl.handle.net/20.500.14299/196431

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

Relating Traits to Electrophysiology using Factor Models

Authors: Talbot, Austin B Dunson, David

Contributors: Talbot, Austin B Dunson, David

Subject Terms: Statistics, Neurobiology, Neurosciences, Adversarial Model, Dimensionality Reduction, Factor Analysis, Joint Model, Optogenetics, Supervised autoencoder, psy, demo

Relation: https://hdl.handle.net/10161/22191

Availability: https://hdl.handle.net/10161/22191

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

Applying Attention-Based Models for Detecting Cognitive Processes and Mental Health Conditions.

Authors: Villatoro-Tello E Parida S Kumar S et al.

Source: Cognitive computation [Cognit Comput] 2021; Vol. 13 (5), pp. 1154-1171. Date of Electronic Publication: 2021 Jul 17.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101499358 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1866-9956 (Print) Linking ISSN: 18669956 NLM ISO Abbreviation: Cognit Comput Subsets: PubMed not MEDLINE

Ssingle-slice alzheimer's disease classification and disease regional analysis with supervised switching autoencoders

Authors: Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Radiología e Imágenes Diagnósticas Pontificia Universidad Javeriana. Facultad de Medicina. Hospital Universitario San Ignacio Uriza Carrasco, Luis Felipe et al.

Index Terms: Alzheimer Disease* *Convolutional Neural Networks* *Magnetic Resonance Imaging* *Representation Learning* *Supervised Autoencoder* *Supervised Switching Autoencoder

URL: http://hdl.handle.net/10554/59949
https://doi.org/10.1016/j.compbiomed.2019.103527
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