Results 241 to 250 of about 36,020 (306)
A two-stage GAN-based instrumental variable method for causal analysis of omics data. [PDF]
Zhou Y +7 more
europepmc +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
What does a good day look like?: An interpretable machine learning approach to the American Time Use Survey. [PDF]
Folk D, Henninger M, Dunn E.
europepmc +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Bridging binarization: causal inference with dichotomized continuous exposures. [PDF]
Lee K, Hubbard A, Schuler A.
europepmc +1 more source
Edge Temporal Digital Twin Network for Sensor-Driven Fault Detection in Nuclear Power Systems. [PDF]
Liu S, Ye G, Zhao X.
europepmc +1 more source
Data-driven model analysis of the impact of environmental and socioeconomic factors on tuberculosis incidence. [PDF]
Tao Y +6 more
europepmc +1 more source
On the approximation of a conditional expectation
Tommaso Lando, Sergio Ortobelli Lozza
openalex +1 more source

