Results 191 to 200 of about 20,875 (268)

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

open access: yesArchaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail   +3 more
wiley   +1 more source

SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps

open access: yesComputer Graphics Forum, EarlyView.
Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley   +1 more source

Habitat loss and fragmentation for an old‐forest species is driven by severe wildfire and drought

open access: yesConservation Science and Practice, EarlyView.
We examined the long‐term trends in habitat for California spotted owls and attributed habitat changes to specific drivers. We found that the 43% decline in habitat from 1985 to 2022 could primarily be attributed to wildfire and drought. Habitat patches also became smaller and more isolated over time.
Ronan Hart   +7 more
wiley   +1 more source

Diagnostic performance of SD‐ΔRR during physical stressors for identifying diabetic sensorimotor polyneuropathy

open access: yesJournal of Diabetes Investigation, EarlyView.
Study population, methodology and key findings of the study. ABSTRACT Aims This study aimed to evaluate the clinical efficacy of SD‐ΔRR as a novel methodology for short‐duration heart rate variability (HRV) assessment for the diagnosis of diabetic sensorimotor polyneuropathy (DSPN) in patients with diabetes.
Katsuyoshi Katayama   +13 more
wiley   +1 more source

Use of Wearable Sensors in Angelman Syndrome: A Systematic Review

open access: yesJournal of Intellectual Disability Research, EarlyView.
ABSTRACT Background Wearable sensors are a promising method for collecting clinical trial outcome data for people with Angelman syndrome (AS). However, there has yet to be a systematic probe into the ways in which wearable sensors have been successfully used in AS. The current study aims to provide a quantitative summary of wearable sensors used in AS,
Veronika Vozka   +11 more
wiley   +1 more source

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