Results 241 to 250 of about 3,089,451 (285)
A multi-dimensional lightweight attention-enhanced model for medical image segmentation. [PDF]
Shang M, Kim P.
europepmc +1 more source
DMAGCL: A dual-masked adaptive graph contrastive learning framework for predicting circRNA-drug sensitivity. [PDF]
Wang P +6 more
europepmc +1 more source
Multi-scale boundary-aware network for remote sensing image semantic segmentation. [PDF]
Shan K, Tan L, Li Y, Jia T.
europepmc +1 more source
All-atom protein sequence design using discrete diffusion models. [PDF]
Villegas-Morcillo A +3 more
europepmc +1 more source
PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Nonstandard Peptides Containing Cycles, Non-natural Residues, Polymer Units, and More. [PDF]
Garzon Otero D +3 more
europepmc +1 more source
Spatial Ability in the Representation of Cross Sections
Cohen, Cheryl Ann +3 more
openaire +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
The Feature Representation Ability of Variational AutoEncoder
2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018As an important generation model, variational autoencoder plays an important role in image feature extraction, text generation, and text compression. In this paper, from the perspective of feature expression, we mainly study the representation ability and stability of variational autoencoder for image features. We extract the features from the original
Chenxi Dong, Tengfei Xue, Cong Wang
openaire +1 more source
Limits on Infants' Ability to Dynamically Update Object Representations
Infancy, 2009Like adults, infants use working memory to represent occluded objects and can update these memory representations to reflect changes to a scene that unfold over time. Here we tested the limits of infants' ability to update object representations in working memory.
Lisa, Feigenson, Mariko, Yamaguchi
openaire +2 more sources

