Results 211 to 220 of about 1,189,261 (324)
Federated asynchronous graph attention network with structural semantic embedding for multi-label graph classification. [PDF]
Ji X +5 more
europepmc +1 more source
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source
Predicting visual object memory through natural eye movement topography. [PDF]
Celli M +5 more
europepmc +1 more source
ABSTRACT It is the priority of Aboriginal and Torres Strait Islander communities, and Australian governments, to provide infants with enriching environments in which they may thrive. This is particularly critical during the perinatal period. Yet, an increasing number of notifications and interventions by child protection authorities are occurring in ...
Neve Mucabel‐Bue +11 more
wiley +1 more source
Exploring internal representations of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects. [PDF]
Kataoka A, Nagano Y, Oizumi M.
europepmc +1 more source
Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles +7 more
wiley +1 more source
A hybrid model integrating RoBERTa, TF-IDF, and attention mechanism for medical query intent classification. [PDF]
Liang Z, Zhao Y, Xu H, Huang H, Chen L.
europepmc +1 more source
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
On the grammar of restricted-range numeral systems. [PDF]
Bowern C.
europepmc +1 more source
Abstract Premise Due to their small size and lack of easily visible macroscopic characters, the identification of cryptogam species has always been challenging. Here, the use of a machine learning computer vision method is explored for the identification of species of lichens and bryophytes from Australian biocrusts.
Callum Lawler +3 more
wiley +1 more source

