Výsledky vyhledávání - Neural generative autoencoder

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.

Autoři: Hasenstab, Kyle Hahn, Lewis Chao, Nick a další

Zdroj: Scientific Reports. 14(1)

Témata: Autoencoder, Chest radiographs, Convolutional neural network, Explainable artificial intelligence, Generative adversarial network, Humans, Radiography, Thoracic, Neural Networks, Computer, Male, Female, Natriuretic Peptide, Brain, Middle Aged, Aged, Peptide Fragments, Heart Failure, Image Processing, Computer-Assisted

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1tq0z60t
https://escholarship.org/content/qt1tq0z60t/qt1tq0z60t.pdf

A Case Study on Monolith to Microservices Decomposition with Variational Autoencoder-Based Graph Neural Network.

Autoři: Maharjan, Rokin Sooksatra, Korn Cerny, Tomas a další

Zdroj: Future Internet. Jul2025, Vol. 17 Issue 7, p303. 19p.

Témata: Graph neural networks, Clustering algorithms, Service-oriented architecture (Computer science), Probabilistic generative models, Software architecture, Mathematical decomposition

Learning particle dynamics: from diffusion to interactions

Autoři: Fernández Fernández, Gabriel

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Institut de Ciències Fotòniques

Thesis Advisors: Lewenstein, Maciej, Manzo, Carlo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Unsupervised, Machine Learning, Variational Autoencoder, Feature Learning, Representation Learning, Autoregressive Model, Data Analysis, Knowledge Discovery, Interpretability, Biophysics, Anomalous Diffusion, Single Trajectory Characterization, Time Series, Stochastic Model, Brownian Motion, Fractional Brownian Motion, Scaled Brownian Motion, Confined Brownian Motion, Graph Neural Network, Lennard-Jones, Non-reciprocal Force, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Àrees temàtiques de la UPC::Informàtica, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 004 - Informàtica, 577 - Bioquímica. Biologia molecular. Biofísica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/696076
https://dx.doi.org/10.5821/dissertation-2117-448803

Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans

Autoři: Rafael-Palou, Xavier

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: González Ballester, Miguel Ángel, Piella Fenoy, Gemma, Ribas Ripoll, Vicent Jordi

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Lung cancer prediction, Nodule detection, Nodule segmentation, Nodule characterization, Nodule malignancy estimation, Nodule follow-up, Nodule re-identification, Nodule growth forecasting, Uncertainty modelling and quantification, Convolutional neural networks, Variational autoencoders, Siamese neural networks, Generative networks, Transfer learning, Computer vision, Deep learning, Machine learning, Predicció del càncer de pulmó, Detecció de nòduls, Segmentació de nòduls, Caracterització de nòduls, Predicció de malignitat de nòduls, Seguiment de nòduls, Re-identificació de nòduls, Creixement de nòduls, Modelatge i quantificació de la malignitat, Xarxes neuronals convolucionals, Autoencoders variacional, Xarxes neuronals siameses, Xarxes generatives, Aprenentatge per transferència, Pipelines, Visió per computador, Aprenentatge profund, Aprenentatge automàtic

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/672964

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting

Autoři: Liang, Guojun, Postdoktor Tiwari, Prayag Nowaczyk, Sławomir a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 33(5):9524-9537

Témata: Diffusion process, graph neural networks (GNNs), spatiotemporal forecasting, variational graph autoencoders (VGAEs)

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55718
https://doi.org/10.1109/tnnls.2024.3415149

A neural generative autoencoder for bilingual word embeddings

Autoři: Jinsong Su Shan Wu Biao Zhang a další

Zdroj: Information Sciences. 424:287-300

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/isci/isci424.html#SuWZWQX18
https://www.sciencedirect.com/science/article/pii/S0020025517309891
https://doi.org/10.1016/j.ins.2017.09.070

FaceTuneGAN: Face autoencoder for convolutional expression transfer using neural generative adversarial networks

Autoři: Nicolas Olivier Kelian Baert Fabien Danieau a další

Zdroj: Computers & Graphics Volume

Témata: FOS: Computer and information sciences, Computer Science - Graphics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Graphics (cs.GR)

Přístupová URL adresa: http://arxiv.org/abs/2112.00532

Semisupervised Generative Autoencoder for Single-Cell Data

Autoři: Ngo Trong, Trung Mehtonen, Juha González, Geraldo a další

Přispěvatelé: Ngo Trong, Trung Mehtonen, Juha González, Geraldo a další

Zdroj: J Comput Biol

Témata: autoencoder, 0301 basic medicine, generative, variational, 0206 medical engineering, deep learning, Computational Biology, Bayes Theorem, 02 engineering and technology, single-cell, 03 medical and health sciences, semisupervised, ICML 2019 Conference Papers, Neural Networks, Computer, Single-Cell Analysis, protein, Transcriptome

Popis souboru: application/pdf

Přístupová URL adresa: https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0337
https://pubmed.ncbi.nlm.nih.gov/31794242
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415880
https://doi.org/10.1089/cmb.2019.0337
https://www.liebertpub.com/doi/10.1089/cmb.2019.0337
https://erepo.uef.fi/handle/123456789/7964
https://www.scilit.net/article/70ef98d0b765cb9922dece2a3686f3f9
https://dblp.uni-trier.de/db/journals/jcb/jcb27.html#TrongMGKHH20
https://erepo.uef.fi/handle/123456789/7964

FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks

Autoři: Olivier, Nicolas Baert, Kelian Danieau, Fabien a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics, text

URL: http://arxiv.org/abs/2112.00532

GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI

Autoři: Ihtisham Ul Haq Abid Iqbal Muhammad Anas a další

Zdroj: Frontiers in Computational Neuroscience, Vol 19 (2025)

Témata: brain tumor segmentation, Generative Autoencoder, attention mechanism, ensemble deep learning, magnetic resonance imaging (MRI), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fncom.2025.1702902/full; https://doaj.org/toc/1662-5188

Přístupová URL adresa: https://doaj.org/article/31bdc5d7a2c24e8ab32e3d029dcc7c4d

High performance computing and artificial intelligence algorithms for dimensionality reduction of turbulent flows

Autoři: Eiximeno Franch, Benet

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Física

Thesis Advisors: Rodríguez Pérez, Ivette María, Lehmkuhl Barba, Oriol

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: reduced order models, high performance computing, deep learning, singular value decomposition, variational autoencoders, Àrees temàtiques de la UPC::Física, Àrees temàtiques de la UPC::Informàtica, 531/534 - Mecànica. Vibracions. Acústica, 004 - Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695826
https://dx.doi.org/10.5821/dissertation-2117-446576

基于改进生成对抗网络和 Swin Transformer 的样本不均衡轴承故障诊断.

Alternate Title: Bearing fault diagnosis based on improved generative adversarial network and Swin Transformer under imbalanced sample conditions.

Autoři: 马良玉 黄日灏 段晓冲 a další

Zdroj: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). Jul2025, Vol. 17 Issue 4, p528-537. 10p.

Témata: *Transformer models, Convolutional neural networks, Generative adversarial networks, Fault diagnosis, Deep learning

Towards Practical Neural Image Compression

Autoři: Yang, Fei

Thesis Advisors: Herranz, Luis, Mozerov, Mikhail G., Cheng, Yongmei

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Compressió d'imatges neuronals, Compresión de imágenes neuronales, Neuronal image compression, Compressió de videos neuronals, Compresión de videos neuronales, Neural video compression, Aprenentatge profund, Aprendizaje profundo, Deep learning, Ciències Experimentals

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/675178

Generating sequential electronic health records using dual adversarial autoencoder

Autoři: Dongha Lee Hwanjo Yu Xiaoqian Jiang a další

Přispěvatelé: Dongha Lee Hwanjo Yu Xiaoqian Jiang a další

Zdroj: Journal of the American Medical Informatics Association. 27:1411-1419

Témata: generative autoencoder, generative adversarial networks (GANs), 02 engineering and technology, 01 natural sciences, 3. Good health, Machine Learning, electornic health records (EHRs), differential privacy, 0202 electrical engineering, electronic engineering, information engineering, Electronic Health Records, Humans, Computer Simulation, Neural Networks, Computer, sequential data generation, Confidentiality, Software, 0105 earth and related environmental sciences

Přístupová URL adresa: https://europepmc.org/articles/pmc7647348?pdf=render
https://pubmed.ncbi.nlm.nih.gov/32989459
https://dblp.uni-trier.de/db/journals/jamia/jamia27.html#LeeYJRGTZX20
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647348
https://pubmed.ncbi.nlm.nih.gov/32989459/
https://oasis.postech.ac.kr/handle/2014.oak/104685
https://www.ncbi.nlm.nih.gov/pubmed/32989459
https://doi.org/10.1093/jamia/ocaa119

Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach †.

Autoři: Cuzzocrea, Alfredo Akter, Mst Shapna Shahriar, Hossain a další

Zdroj: Future Internet. Feb2025, Vol. 17 Issue 2, p84. 21p.

Témata: *Natural language processing, Language models, Generative pre-trained transformers, Long short-term memory, Online social networks

Deep generative models for natural language processing

Autoři: Miao, Yishu Blunsom, Phil

Přispěvatelé: Miao, Yishu Blunsom, Phil

Témata: 006.3, Dialogue System, Neural Variational Inference, Natural Language Processing, Deep Generative Models, Variational Autoencoder, Topic Model, Summarisation, Deep Learning

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748900

Microstructural mapping of neural pathways in Alzheimers disease using macrostructure-informed normative tractometry.

Autoři: Feng, Yixue Chandio, Bramsh Villalon-Reina, Julio a další

Zdroj: Alzheimers & Dementia: The Journal of the Alzheimers Association. 21(1)

Témata: Alzheimers disease, anomaly detection, deep generative models, diffusion magnetic resonance imaging, normative modeling, tractometry, transfer learning, Humans, Alzheimer Disease, Diffusion Tensor Imaging, White Matter, Aged, Cognitive Dysfunction, Male, Female, Neural Pathways, Brain, India, Brain Mapping, Diffusion Magnetic Resonance Imaging, North America, Cohort Studies

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0ht70274
https://escholarship.org/content/qt0ht70274/qt0ht70274.pdf

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds

Autoři: Sun, Xingzhi Liao, Danqi MacDonald, Kincaid a další

Témata: Computer Science - Machine Learning, Mathematics - Differential Geometry, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2410.12779

An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets.

Autoři: Salehiyan, Ahmad Moghaddam, Pardis Sadatian Kaveh, Masoud

Zdroj: Future Internet. Jul2025, Vol. 17 Issue 7, p279. 34p.

Témata: Intrusion detection systems (Computer security), Edge computing, Autoencoder, Internet security, Cyber physical systems, Deep learning, Generative adversarial networks

Researching public health datasets in the era of deep learning: a systematic literature review.

Autoři: Obeidat, Rand Alsmadi, Izzat Baker, Qanita Bani a další

Zdroj: Health Informatics Journal. Jan-Mar2025, Vol. 31 Issue 1, p1-32. 32p.

Témata: *Databases, *Medical information storage & retrieval systems, *Medical informatics, *MEDLINE, *Electronic health records, *Online information services, Generative adversarial networks, Prediction models, Research funding, Recurrent neural networks, Research evaluation, Long short-term memory, Autoencoder, Convolutional neural networks, Systematic reviews, Deep learning, Medical research, Public health, Drug discovery