Results 151 to 160 of about 24,131 (257)
Continual learning approaches for single cell RNA sequencing data. [PDF]
Saygili G, OzgodeYigin B.
europepmc +1 more source
‘I was treated as a deficit’: Immigrant teachers' career progression in Australia
Abstract Immigrant teachers have long been recruited through skilled and employer‐sponsored migration schemes to address teacher shortages in Australia, yet their career trajectories remain constrained by systemic inequities that limit their integration and professional development opportunities.
Ching Ting Tany Kwee +2 more
wiley +1 more source
Bayesian continual learning and forgetting in neural networks. [PDF]
Bonnet D +6 more
europepmc +1 more source
Flourishing through adventure learning: A (semi)cautionary tale
Abstract Studies suggest that adventure learning can develop children's cognitive skills and promote social and emotional learning. However, evidence is needed as to whether the design of adventure learning—school‐based or external/residential—plays a role in that development/promotion, and whether learning gains are maintained.
Ben Willis, Sarah Reaney‐Wood
wiley +1 more source
Spiking Neural Networks with Continual Learning for Steering Angle Regression: A Sustainable AI Perspective. [PDF]
Martínez FS, Costa S, Parada R.
europepmc +1 more source
Online Continual Learning in Acoustic Scene Classification: An Empirical Study. [PDF]
Ha D, Kim M, Jeong CY.
europepmc +1 more source
ABSTRACT Correctly setting and reading a manual air displacement micropipette is an essential yet challenging skill for life‐science students. The incorrect delivery of volumes affects both experimental outcomes and data interpretation, potentially reducing student confidence in the laboratory.
Maurizio Costabile, Beth Loveys
wiley +1 more source
Long-Tailed Continual Learning For Visual Food Recognition. [PDF]
He J +5 more
europepmc +1 more source
Life-long phishing attack detection using continual learning. [PDF]
Ejaz A, Mian AN, Manzoor S.
europepmc +1 more source
Atomically precise metal cluster enzymes for pathological tissue regeneration
Schematic illustration of atomically precise metal cluster enzymes (MCEs) for pathological tissue regeneration. Atomically precise MCEs can modulate biological processes, such as attenuation of inflammatory responses, eradication of bacterial pathogens, regulation of angiogenesis, and promotion of cell development.
Ziqiang Xiong +11 more
wiley +1 more source

