Results 61 to 70 of about 343 (153)

A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data. [PDF]

Front Genet, 2022
Cao X, Xing L, Majd E, He H, Gu J, Zhang X.   +5 more
europepmc   +1 more source

Too Much of a Good Thing? A Governing Knowledge Commons Review of Abundance in Context. [PDF]

Front Res Metr Anal, 2022
Madison MJ, Frischmann BM, Sanfilippo MR, Strandburg KJ.   +3 more
europepmc   +1 more source

"What's happening over there?": a study of the current state of services, challenges, and prospects in Nigerian medical libraries. [PDF]

J Med Libr Assoc, 2020
Popoola BO, Uzoagba NC, Rabiu N.
europepmc   +1 more source

Keyword Extraction: A Modern Perspective. [PDF]

SN Comput Sci, 2023
Nomoto T.
europepmc   +1 more source

Особенности разноязычных классификационных ИПЯ

Библиосфера, 2010
The difference between library classifications (LC) in Russian and English versions has been considered using most general classes of Dewey Decimal Classification (DC) and UDC as an example.

doaj  

Quantifying Bias in Hierarchical Category Systems. [PDF]

Open Mind (Camb)
Warburton K, Kemp C, Xu Y, Frermann L.
europepmc   +1 more source

Overview of retrospective data harmonisation in the MINDMAP project: process and results. [PDF]

J Epidemiol Community Health, 2021
Wey TW, Doiron D, Wissa R, Fabre G, Motoc I, Noordzij JM, Ruiz M, Timmermans E, van Lenthe FJ, Bobak M, Chaix B, Krokstad S, Raina P, Sund ER, Beenackers MA, Fortier I.   +15 more
europepmc   +1 more source

An adaptive semantic retrieval framework for digital libraries integrating graph neural networks, ontology, and user behavior. [PDF]

Sci Rep
Bi R.
europepmc   +1 more source

Biological Characterization and Evolution of Bacteriophage T7-△holin During the Serial Passage Process. [PDF]

Front Microbiol, 2021
Xu H, Bao X, Hong W, Wang A, Wang K, Dong H, Hou J, Govinden R, Deng B, Chenia HY.   +9 more
europepmc   +1 more source

Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries. [PDF]

PeerJ Comput Sci
Yang X, Zhang Z.
europepmc   +1 more source