Výsledky vyhledávání - Deep regularized variational autoencoder

Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process

Autoři: Xiaoan Yan Daoming She Yadong Xu a další

Zdroj: Knowledge-Based Systems. 226:107142

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

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0950705121004056
https://dblp.uni-trier.de/db/journals/kbs/kbs226.html#YanSXJ21

Learning Robust Speech Representation with an Articulatory-Regularized Variational Autoencoder

Autoři: Jean-Luc Schwartz Laurent Girin Marc-Antoine Georges a další

Zdroj: Interspeech 2021. :3345-3349

Témata: FOS: Computer and information sciences, Sound (cs.SD), 03 medical and health sciences, Computer Science - Computation and Language, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science, Computation and Language (cs.CL), Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Přístupová URL adresa: http://arxiv.org/pdf/2104.03204
http://arxiv.org/abs/2104.03204
https://dblp.uni-trier.de/db/journals/corr/corr2104.html#abs-2104-03204
https://hal.archives-ouvertes.fr/hal-03373252
https://hal.archives-ouvertes.fr/hal-03373252/document
https://hal-anr.archives-ouvertes.fr/hal-03373252v1
https://memsic.ccsd.cnrs.fr/LPNC/hal-03373252v1
https://hal.uca.fr/LPNC/hal-03373252v1

Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data

Autoři: Gwangwoo Kim Hyonho Chun

Zdroj: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)

Témata: Deep learning-based nonlinear dimension reduction, Variational autoencoder, Uniform manifold approximation and projection, Single-cell RNA sequencing data, Covariate effect, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/f2f238b70205471c9f8cef9ef571f21f

Learning robust speech representation with an articulatory-regularized variational autoencoder

Autoři: Georges, Marc-Antoine Girin, Laurent Schwartz, Jean-Luc a další

Témata: Computer Science - Sound, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing, text

URL: http://arxiv.org/abs/2104.03204

Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction.

Autoři: Rajaram, Sara Mitchell, Cassie S.

Zdroj: Information. Jan2024, Vol. 15 Issue 1, p7. 14p.

Témata: Data augmentation, Generative adversarial networks, Wilcoxon signed-rank test, Deep learning, Forecasting, Multiple imputation (Statistics)

FVAE: a regularized variational autoencoder using the Fisher criterion.

Autoři: Lai, Jie Wang, Xiaodan Xiang, Qian a další

Zdroj: Applied Intelligence; Nov2022, Vol. 52 Issue 14, p16869-16885, 17p

Témata: DEEP learning, LATENT variables, PROBLEM solving, DATA augmentation

ERLD-HC: Entropy-Regularized Latent Diffusion for Harmony-Constrained Symbolic Music Generation

Autoři: Yang Li

Zdroj: Entropy, Vol 27, Iss 9, p 901 (2025)

Témata: symbolic music generation, entropy-regularized CRF, latent diffusion, harmonic control, variational autoencoder, Science, Astrophysics, QB460-466, Physics, QC1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1099-4300/27/9/901; https://doaj.org/toc/1099-4300

Přístupová URL adresa: https://doaj.org/article/9f6ff10e916b4f4198711c127ea045e4

ERLD-HC: Entropy-Regularized Latent Diffusion for Harmony-Constrained Symbolic Music Generation.

Autoři: Li, Yang

Zdroj: Entropy; Sep2025, Vol. 27 Issue 9, p901, 21p

Témata: HARMONICS (Music theory), AUTOENCODERS, SONGWRITING, MIDI (Standard), DEEP learning, PROBABILISTIC generative models, MACHINE learning, MUSICAL notation

Spatially Constrained Variational Autoencoder for Geochemical Data Denoising and Uncertainty Quantification.

Autoři: Huang, Dazheng Zuo, Renguang Wang, Jian a další

Zdroj: Journal of Earth Science. Oct2025, Vol. 36 Issue 5, p2317-2336. 20p.

Témata: *EARTH sciences, *SIGNAL denoising, *ANALYTICAL geochemistry, *DEEP learning, *DATA analysis, *EXPERIMENTAL design, *MATHEMATICAL regularization, *PROSPECTING

Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology

Autoři: Cetin, Irem

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

Thesis Advisors: Camara, Oscar, González Ballester, Miguel Ángel

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Radiomica, Inteligencia artificial explicable, Enfermedades cardiovasculares, Interpretación, Resonancia magnética cardiaca, Radiomics, Explainable artificial intelligence, Cardiovascular diseases, Interpretation, CMR

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/674327

PhishNetVAE Cybersecurity Approach: An Integrated Variational Autoencoder and Deep Neural Network Approach for Enhancing Cybersecurity Strategies by Detecting Phishing Attacks.

Autoři: Nuiaa Al Ogaili, Riyadh Rahef Mahdi, Mohammed Ibrahim Neamah, Ali Fahem a další

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 3, p59-72, 14p

Témata: ARTIFICIAL neural networks, AUTOENCODERS, PHISHING, CYBERTERRORISM, INTERNET security

DROWSINESS DETECTION USING ECG FROM WEARABLE SENSORS USING VARIATIONAL AUTOENCODER MODEL.

Autoři: PUTRA, BAGAS ADITYA GUNAWAN, ALEXANDER AGUNG SANTOSO

Zdroj: ICIC Express Letters, Part B: Applications; Jul2025, Vol. 16 Issue 7, p783-789, 7p

Témata: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, PATTERN recognition systems, LONG short-term memory, DETECTION algorithms, DEEP learning

Deep Multi-Task Learning for an Autoencoder-Regularized Semantic Segmentation of Fundus Retina Images.

Autoři: Jin, Ge Chen, Xu Ying, Long

Zdroj: Mathematics (2227-7390). Dec2022, Vol. 10 Issue 24, p4798. 15p.

Témata: *RETINAL blood vessels, *DEEP learning, *RETINA, *BLOOD vessels

Sparse Regularized Autoencoders-Based Radiomics Data Augmentation for Improved EGFR Mutation Prediction in NSCLC.

Autoři: Munir, Muhammad Asif Shah, Reehan Ali Waheed, Urooj a další

Zdroj: Future Internet; Nov2025, Vol. 17 Issue 11, p495, 23p

Témata: LUNG cancer, EPIDERMAL growth factor receptors, RADIOMICS, AUTOENCODERS, MACHINE learning, ONCOLOGY, DATA augmentation

ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design.

Autoři: Sevgen, Emre Moller, Joshua Lange, Adrian a další

Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 10/14/2025, Vol. 122 Issue 41, p1-10, 21p

Témata: PROTEIN engineering, SYNTHETIC proteins, TRANSFORMER models, ENZYME biotechnology, FUNCTIONAL assessment, LATENT variables, MACHINE learning, PROBABILISTIC generative models

Variational AutoEncoder Based CSI Feedback for Massive MIMO Systems.

Autoři: Swain, Anusaya Hiremath, Shrishail M. Patra, Sarat Kumar

Zdroj: Wireless Personal Communications; Dec2025, Vol. 145 Issue 3/4, p385-402, 18p

A deep clustering framework integrating pairwise constraints and a VMF mixture model

Autoři: He Ma Weipeng Wu

Zdroj: Electronic Research Archive, Vol 32, Iss 6, Pp 3952-3972 (2024)

Témata: generative deep clustering, variational autoencoder, von mises-fisher mixture model, pairwise constraints, kullback–leibler divergence, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2688-1594

Přístupová URL adresa: https://doaj.org/article/74c78179db9c4c55b2c84c46f6a4efe9

Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors.

Autoři: Sengodan, Boopathi Chettiagounder Stanislaus, Prince Mary Arumugam, Sivakumar Sabapathy a další

Zdroj: Sensors (14248220); Sep2024, Vol. 24 Issue 17, p5630, 19p

Témata: DATA compression, DATA transmission systems, DISTRIBUTED sensors, COMPRESSED sensing, ENERGY consumption, WIRELESS sensor networks, DEEP learning, AUTOENCODERS

Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data.

Autoři: Kim, Gwangwoo Chun, Hyonho

Zdroj: BMC Bioinformatics; 11/14/2023, Vol. 24 Issue 1, p1-19, 19p

Témata: RNA sequencing, DEEP learning

Out-of-Distribution Detection with Memory-Augmented Variational Autoencoder.

Autoři: Ataeiasad, Faezeh Elizondo, David Calderón Ramírez, Saúl a další

Zdroj: Mathematics (2227-7390); Oct2024, Vol. 12 Issue 19, p3153, 16p

Témata: DEEP learning, SHORT-term memory, GAUSSIAN distribution, MACHINE learning, DATA distribution, AUTOENCODERS