Výsledky vyhľadávania - Deep supervised autoencoder

A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data

Autori: Sadeghian, Paria Golshan, Arman Zhao, Xiaoyun, Ph.D. a ďalší

Zdroj: Transportation. 52:1745-1765

Predmety: Travel identification, LSTM Autoencoder, Unsupervised learning, Deep learning, GPS tracking data

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:du-48203
https://doi.org/10.1007/s11116-024-10472-x

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

Autori: Ribeiro, Mariana Montenegro

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

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

Automated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder Model

Autori: Tiny Du Toit Hennie Kruger Annette Van Der Merwe

Zdroj: Journal of Computer Science. 19:1073-1086

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images

Autori: Jianhong Cheng Wei Zhao Jin Liu a ďalší

Zdroj: IEEE/ACM Trans Comput Biol Bioinform

Predmety: 03 medical and health sciences, COVID-19 Testing, Deep Learning, 0302 clinical medicine, SARS-CoV-2, 0202 electrical engineering, electronic engineering, information engineering, COVID-19, Humans, Pneumonia, 02 engineering and technology, Tomography, X-Ray Computed, Article, 3. Good health

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/8857/4359833/09508150.pdf
https://pubmed.ncbi.nlm.nih.gov/34351863

Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds

Autori: Hess, Georg Jaxing, Johan Svensson, Elias a ďalší

Zdroj: IEEE Workshop on Applications of Computer Vision (WACV), Waikoloa, USA Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023. :350-359

Predmety: 3d object detection, Self-supervised, Object detection, Voxel-MAE, Deep learning, Masked autoencoding

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/536005
https://research.chalmers.se/publication/535108
https://openaccess.thecvf.com/content/WACV2023W/Pretrain/papers/Hess_Masked_Autoencoder_for_Self-Supervised_Pre-Training_on_Lidar_Point_Clouds_WACVW_2023_paper.pdf

Self-supervised deep learning approaches to speaker recognition

Autori: Khan, Umair

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Hernando Pericás, Francisco Javier

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/671496
https://dx.doi.org/10.5821/dissertation-2117-345311

Asymmetric Supervised Deep Autoencoder for Depth Image based 3D Model Retrieval

Autori: Ayesha Siddiqua Guoliang Fan

Zdroj: 2019 IEEE Visual Communications and Image Processing (VCIP). :1-4

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/vcip/vcip2019.html#SiddiquaF19

Captured multi-label relations via joint deep supervised autoencoder

Autori: Si-ming Lian Run-kun Lu Jian-Wei Liu a ďalší

Zdroj: Applied Soft Computing. 74:709-728

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Supervised and Unsupervised Deep Learning Models for Flood Detection

Autori: Yadav, Ritu Ban, Yifang, Professor Nascetti, Andrea, Associate Professor a ďalší

Prispievatelia: Yadav, Ritu Ban, Yifang, Professor Nascetti, Andrea, Associate Professor a ďalší

Zdroj: TRITA-ABE-DLT.

Predmety: Floods, Remote Sensing, Sentinel-1 SAR, Segmentation, Change Detection, DEM, Data Fusion, Time Series, Deep Learning, Unsupervised Learning, Contrastive Learning, Self-Attention, Convolutional LSTM, Variational AutoEncoder (VAE), Geoinformatik, Geoinformatics

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338909
https://kth.diva-portal.org/smash/get/diva2:1808184/FULLTEXT01.pdf

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum

Autori: Hee-Deok Jang Seokjoon Kwon Hyunwoo Nam a ďalší

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/c9e861611d4d47a9936fd04301e21405

Interpreting deep learning for cell differentiation : supervised and unsupervised models viewed through the lens of information and perturbation theory

Autori: Andres Terre, Helena Lio, Pietro

Prispievatelia: Andres Terre, Helena Lio, Pietro

Predmety: 006.3, Artificial Intelligence, Unsupervised Learning, Variational Autoencoders, Single Cell RNA-Seq, Information Theory, Generative methods

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810089

LIDER: cell embedding based deep neural network classifier for supervised cell type identification

Autori: Yachen Tang Xuefeng Li Mingguang Shi

Zdroj: PeerJ, Vol 11, p e15862 (2023)

Predmety: Cell embedding, Stacked denoising autoencoders, Deep neural network classifier, Cell type identification, Medicine, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://peerj.com/articles/15862.pdf; https://peerj.com/articles/15862/; https://doaj.org/toc/2167-8359

Prístupová URL adresa: https://doaj.org/article/1687af24dd644d59a991a5fef4e441a4

Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition

Autori: Rongbing Huang Chang Liu Guoqi Li a ďalší

Zdroj: Mathematical Problems in Engineering. 2016:1-14

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: text/xhtml

Prístupová URL adresa: http://downloads.hindawi.com/journals/mpe/2016/6795352.pdf
http://downloads.hindawi.com/journals/mpe/2016/6795352.pdf
https://www.hindawi.com/journals/mpe/2016/6795352/
https://downloads.hindawi.com/journals/mpe/2016/6795352.pdf
https://www.scilit.net/article/2b09ba46bd92384e1e646028f4ab6a4d
https://core.ac.uk/display/89710560

Deep Supervised Autoencoder Based Image Reconstruction and SVM for Face Recognition

Autori: Chang-Ming Shu Rong-Bing Huang Xiao-Qun Liu

Zdroj: Computer Science and Artificial Intelligence. :474-479

Prístupová URL adresa: https://www.worldscientific.com/doi/abs/10.1142/9789813220294_0061

Fatecode enables cell fate regulator prediction using classification-supervised autoencoder perturbation.

Autori: Sadria M Layton A Goyal S a ďalší

Zdroj: Cell reports methods [Cell Rep Methods] 2024 Jul 15; Vol. 4 (7), pp. 100819. Date of Electronic Publication: 2024 Jul 09.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918227360606676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2667-2375 (Electronic) Linking ISSN: 26672375 NLM ISO Abbreviation: Cell Rep Methods Subsets: MEDLINE

Výrazy zo slovníka MeSH: Single-Cell Analysis*/methods, Humans ; Animals ; Gene Regulatory Networks ; Computational Biology/methods ; Cell Differentiation/genetics ; Sequence Analysis, RNA/methods ; Transcriptome ; Deep Learning ; Cell Lineage/genetics ; Mice ; Cellular Reprogramming/genetics ; RNA-Seq/methods

Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders

Autori: Figari Tomenotti, Federico Luppino, Luigi Tommaso Hansen, Mads Adrian a ďalší

Relation: Norges forskningsråd: 251327

Dostupnosť: https://hdl.handle.net/10037/30788

DeepPos: Deep Supervised Autoencoder Network for CSI Based Indoor Localization

Autori: Yazdanian, Peyman Pourahmadi, Vahid

Témy: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1811.12182

Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning

Autori: Cruz Jr., Gabriel V. de la Du, Yunshu Taylor, Matthew E.

Témy: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1904.02206

Automatic detection of Arctic polynyas using hybrid supervised-unsupervised deep learning

Autori: Heuzé, Céline Wong, Hau Man

Zdroj: CRYOSPHERE. 19(11):6043-6058

Predmety: Earth and Related Environmental Sciences, Geovetenskap och relaterad miljövetenskap

Prístupová URL adresa: https://gup.ub.gu.se/publication/355886

Enhancing Surgical Tool Classification Using a Semi-supervised Learning Autoencoder Approach

Autori: Shokouhmand, Shiva Rahman, Md Motiur Bhatt, Smriti a ďalší

Zdroj: Purdue Polytechnic Graduate Student Poster Symposium

Témy: Surgical image detection, Semi-supervised learning, ResNet18, text

URL: https://docs.lib.purdue.edu/purduepolygradsymposium/2025/presentations/6
https://docs.lib.purdue.edu/context/purduepolygradsymposium/article/1005/viewcontent/EnhancingSurgicalToolClassificationUsingASemi_SupervisedLearningAutoencoderApproach.pdf