Results 281 to 290 of about 5,879,357 (336)

TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning. [PDF]

Commun Chem
Li Y, Xu H, Kumar A, Wang DS, Heiss C, Azadi P, Hong P.   +6 more
europepmc   +1 more source

Enhancing unsupervised learning in medical image registration through scale-aware context aggregation. [PDF]

iScience
Liu Y, Wang L, Ning X, Gao Y, Wang D.
europepmc   +1 more source

An unsupervised machine learning approach to segmentation of clinician-entered free text.

, 2007
Jesse O. Wrenn, Peter D. Stetson, Stephen B. Johnson   +2 more
openalex   +1 more source

Stratification of Group A Streptococcal Pharyngitis Children Using Unsupervised Learning. [PDF]

Cureus
Miyagi Y.
europepmc   +1 more source

High-Quality Image Compression Algorithm Design Based on Unsupervised Learning. [PDF]

Sensors (Basel)
Han S, Mo B, Zhao J, Xu J, Sun S, Jin B.
europepmc   +1 more source

ULaMDyn: enhancing excited-state dynamics analysis through streamlined unsupervised learning.

Digit Discov
Pinheiro M, de Oliveira Bispo M, Mattos RS, Telles do Casal M, Chandra Garain B, Toldo JM, Mukherjee S, Barbatti M.   +7 more
europepmc   +1 more source

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Unsupervised learning

American Journal of Orthodontics and Dentofacial Orthopedics, 2023
This work was supported by the Flemish Government under the “Onderzoeksprogramma Artifici€ele Intelligentie (AI) Vlaanderen ...
Dirk Valkenborg, Axel-Jan Rousseau, Melvin Geubbelmans, Tomasz Burzykowski   +3 more
  +11 more sources

ScaleNet: An Unsupervised Representation Learning Method for Limited Information

German Conference on Pattern Recognition, 2023
Although large-scale labeled data are essential for deep convolutional neural networks (ConvNets) to learn high-level semantic visual representations, it is time-consuming and impractical to collect and annotate large-scale datasets.
Huili Huang, M. M. Roozbahani
semanticscholar   +1 more source