https://mofanpy.com/tutorials/machine-learning/torch/autoencoder
AutoEncoder (自编码/非监督学习) | 莫烦Python
神经网络也能进行非监督学习, 只需要训练数据, 不需要标签数据. 自编码就是这样一种形式. 自编码能自动分类数据, 而且也能嵌套在半监督学习的上面, 用少量的有标签样本和大量的无标签样本学习. 这次我们还用 MNIST 手写数字数据来压缩再解压图片.
autoencoder
https://openmedical.sh/registry/software/brain-mri-autoencoder/
Brain-MRI-Autoencoder — Open Medical Registry
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain
brain mriautoencoderopenmedicalregistry
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https://campus.datacamp.com/vi/courses/introduction-to-deep-learning-with-keras/advanced-model-architectures?ex=5
Khử nhiễu như một autoencoder | Python
Here is an example of Khử nhiễu như một autoencoder: Bạn vừa xây dựng xong một mô hình autoencoder
autoencoderpython
https://acikerisim.fsm.edu.tr/items/a5f0a66b-1db9-46b5-9a75-0d09ef943c8d
Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty modules of...
neural networksahandsoftwarefaultprediction
https://scholarworks.sookmyung.ac.kr/item/9d32ccdb-e3cb-4842-a96c-86fff35aefb2
Multi-Level Feature Exploration Using LSTM-Based Variational Autoencoder Network for Fall Detection
Accidental falls and their consequences are critical concerns for elderly people. Fatal injuries, when delayed in treatment, can lead to severe outcomes. Fall...
multi levelvariational autoencoderfall detectionfeatureexploration
https://inl.elsevierpure.com/en/publications/uncorrelated-sparse-autoencoder-with-long-short-term-memory-for-s/
Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in...
short term memorystate of chargesparse autoencoderuncorrelatedlong
https://aisecurity-portal.org/literature-database/autozoom-autoencoder-based-zeroth-order-optimization-method-for-attacking-black-box-neural-networks/
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural...
black boxautozoomautoencoderbasedzeroth
https://www.ml-quant.com/papers/arxiv/2404.01866/
Supervised autoencoder MLP for financial time series forecasting · ML-Quant
The study investigates the use of supervised autoencoders in improving financial forecasting through precise parameter tuning.
time series forecastingsupervisedautoencodermlpfinancial
https://thesai.org/Publications/ViewPaper?Volume=17&Issue=8&Code=IJACSA&SerialNo=83
Deep Autoencoder and Deep Q-Network-Based Feature Learning with Multi-Head Residual Attention DNN...
As society’s digital infrastructure grows, so do the threats. We cannot deny internet access, so we need to safeguard ourselves against cyber threats. Every...
feature learningmulti headdeepautoencodernetwork
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https://www.mdc-berlin.de/research/publications/cryo-swan-multi-scale-wavelet-decomposition-inspired-autoencoder-network
Cryo-SWAN: the Multi-Scale Wavelet-decomposition-inspired Autoencoder Network for molecular density...
cryoswanmultiscalewavelet
https://nugg.ad/fr/glossaire-ia/autoencodeur/
Autoencoder (Autoencodeur) - Le Nugg
Imaginez que vous pénétrez dans un monde où la complexité des données n'est plus un obstacle, mais une passerelle vers l'innovation et l'efficacité. Dans le
autoencodernugg
https://batistalab.com/publications/pd1-kae
Humanized Anti-PD-1 Antibodies Generated Using The Conditional Kernel-Elastic Autoencoder | Batista...
The human immune system excels at generating highly effective antibodies through natural selection and somatic hypermutation, but adapting these antibodies for...
the conditionalhumanizedantigeneratedusing
https://ut-vision.org/publication/2024-zhang-masked/
Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition | Sato Lab./Sugano Lab.
Sep 29, 2024 - Compared with visual signals, Inertial Measurement Units (IMUs) placed on human limbs can capture accurate motion signals while being robust to lighting...
action recognitionmaskedvideobodyworn
https://scholars.hkmu.edu.hk/en/publications/driver-distraction-prediction-a-kernel-functions-analysis-for-dee/
Driver Distraction Prediction: A Kernel Functions Analysis for Deep Kernelized Autoencoder - Hong...
driverdistractionpredictionkernelfunctions
https://scholars.depaul.edu/en/publications/enhancing-lung-nodule-classification-with-variational-autoencoder/
Enhancing Lung Nodule Classification with Variational Autoencoder-Based Image Augmentation - DePaul...
lung nodulevariational autoencoderimage augmentationenhancingclassification
https://lilianweng.github.io/lil-log/2018/08/12/from-autoencoder-to-beta-vae
From Autoencoder To Beta Vae
autoencoderbetavae
https://webthesis.biblio.polito.it/40788/?template=default
Exploring Infant Vocalizations Using Autoencoder-Based Latent Representations and Machine Learning...
machine learningexploringinfantvocalizationsusing
https://pure.ulster.ac.uk/en/publications/graph-wasserstein-autoencoder-based-asymptotically-optimal-motion/
Graph Wasserstein Autoencoder-Based Asymptotically Optimal Motion Planning With Kinematic...
asymptotically optimalmotion planninggraphwassersteinautoencoder
https://it.mathworks.com/help/signal/ref/deepsignalanomalydetectorlstm.html
deepSignalAnomalyDetectorLSTM - Detect signal anomalies using LSTM autoencoder - MATLAB
The deepSignalAnomalyDetectorLSTM object uses a long short-term memory (LSTM) autoencoder model to detect signal anomalies.
detectsignalanomaliesusinglstm
https://opinvisindi.is/items/004d5d6d-4662-4f64-b995-782f21be1f3a/full
SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and...
white matter lesionunsupervisedsegmentationbrainmris
https://math.technion.ac.il/events/pieclam-a-universal-graph-autoencoder-based-on-overlapping-inclusive-and-exclusive-communities-graduation-seminar/
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities-...
Jan 9, 2025 - יום שני, ספטמבר 9, 2024 @ 14:00 - 15:00 - In this talk we introduce PieClam, a new way to analyze and understand complex graphs by grouping together nodes of...
universal graphbased oninclusive andexclusive communitiesautoencoder
https://pure.ecnu.edu.cn/en/publications/maedefense-an-effective-masked-autoencoder-defense-against-advers/
MAEDefense: An Effective Masked AutoEncoder Defense against Adversarial Attacks - East China Normal...
masked autoencodereast chinaeffectivedefenseadversarial
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https://pure.cardiffmet.ac.uk/en/publications/autoencoder-and-machine-learning-method-for-myocardial-infarction/
Autoencoder and Machine Learning Method for Myocardial Infarction (MI) Detection Application -...
machine learning methodmyocardial infarctionautoencoderdetectionapplication
https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/ml/sw_auto_encoder.html
Autoencoder in Sparkling Water — H2O Sparkling Water 3.46.0.6-1-3.0 documentation
sparkling waterautoencoderdocumentation
https://ijritcc.org/index.php/ijritcc/article/view/7618/6312
View of Fusing Long Short-Term Memory and Autoencoder Models for Robust Anomaly Detection in Indoor...
short term memoryanomaly detectionviewfusinglong
https://www.datacamp.com/fr/tutorial/autoencoder-classifier-python
Tutoriel : utiliser un autoencoder comme classifieur | DataCamp
Dans ce tutoriel, vous allez apprendre et comprendre comment utiliser un autoencoder comme classifieur en Python avec Keras. Exemple à l’appui avec le jeu de...
tutorielutiliserautoencodercommeclassifieur
https://liner.com/ko/review/hierarchical-neural-autoencoder-for-paragraphs-and-documents
A Hierarchical Neural Autoencoder for Paragraphs and Documents [논문 퀵 리뷰]
이 ACL 2015 논문과 관련하여, 이 리뷰는 다중 문장 문단 재구성을 위한 계층적 LSTM autoencoder를 요약하며, 이는 표준 모델보다 뛰어난 성능을 보입니다.
hierarchicalneuralautoencoderparagraphsdocuments
https://www.jsjkx.com/EN/10.11896/jsjkx.231100117
Path-masked Autoencoder Guiding Unsupervised Attribute Graph Node Clustering
masked autoencodergraph nodepathguidingunsupervised
https://www.thejournal.club/c/paper/164039/
A Hybrid Variational Autoencoder for Collaborative Filtering
variational autoencodercollaborative filteringhybrid