Results 251 to 260 of about 13,735 (297)

Variational autoencoder-based model improves polygenic prediction in blood cell traits. [PDF]

HGG Adv
Li X, Kharitonova E, Pang M, Wen J, Zhou LY, Raffield L, Zhou H, Yao H, Chen C, Li Y, Sun Q.   +10 more
europepmc   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

Archaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail, Morgan Denyer, Rachel Denyer, Howell Edwards   +3 more
wiley   +1 more source

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization. [PDF]

Sci Rep
Chen C, Gong Z.
europepmc   +1 more source

Artificial Intelligence‐Generated Synthetic Data in Healthcare: A False Promise for Underserved Populations?

Bioethics, EarlyView.
ABSTRACT Artificial intelligence (AI)‐generated synthetic data has emerged as a promising solution to address the underrepresentation of underserved populations in medical AI systems. By artificially generating data that mimics real‐world patient information, proponents argue that AI‐generated synthetic data can fill data gaps, improve algorithmic ...
Stéphanie Baggio
wiley   +1 more source

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets. [PDF]

BMC Bioinformatics
Wang Z, Wu Z, Deng M.
europepmc   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

SNPmanifold: detecting single-cell clonality and lineages from single-nucleotide variants using binomial variational autoencoder. [PDF]

Genome Biol
Chung HM, Huang Y.
europepmc   +1 more source

Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction

Computer Graphics Forum, EarlyView.
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik, Morten Henkel, Yanjiang He, Victor Czech, Tim Elsner, Isaak Lim, Leif Kobbelt   +6 more
wiley   +1 more source

ICVAE: Interpretable Conditional Variational Autoencoder for De Novo Molecular Design. [PDF]

Int J Mol Sci
Fan X, Fang S, Li Z, Ji H, Yue M, Li J, Ren X.   +6 more
europepmc   +1 more source