Results 31 to 40 of about 93,046 (267)

Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles

open access: yesIEEE Access, 2023
Scientific document classification is an important field of machine learning. Currently, scientific document category identification is done manually.
Aiman Hafeez   +6 more
doaj   +1 more source

Towards Differentiable Resampling

open access: yesCoRR, 2020
Resampling is a key component of sample-based recursive state estimation in particle filters. Recent work explores differentiable particle filters for end-to-end learning. However, resampling remains a challenge in these works, as it is inherently non-differentiable.
Michael Zhu   +2 more
openaire   +3 more sources

Supervised learning for analysing movement patterns in a virtual reality experiment

open access: yesRoyal Society Open Science, 2022
The projection into a virtual character and the concomitant illusionary body ownership can lead to transformations of one’s entity. Both during and after the exposure, behavioural and attitudinal changes may occur, depending on the characteristics or ...
Frederike Vogel   +3 more
doaj   +1 more source

Dual Mesh Resampling

open access: yesGraphical Models, 2002
Summary: The dual of a 2-manifold polygonal mesh without boundary is commonly defined as another mesh with the same topology (genus) but different connectivity (vertex--face incidence), in which faces and vertices occupy complementary locations and the position of each dual vertex is computed as the center of mass (barycenter or centroid) of the ...
openaire   +4 more sources

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng   +4 more
wiley   +1 more source

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin   +11 more
wiley   +1 more source

Sample size for estimating mean and coefficient of variation in species of crotalarias

open access: yesAnais da Academia Brasileira de Ciências, 2018
The objective of this study was to determine the sample size necessary to estimate the mean and coefficient of variation in four species of crotalarias (C. juncea, C. spectabilis, C. breviflora and C. ochroleuca).
MARCOS TOEBE   +5 more
doaj   +1 more source

New metrics for multiple testing with correlated outcomes

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
When investigators test multiple outcomes or fit different model specifications to the same dataset, as in multiverse analyses, the resulting test statistics may be correlated.
Maya B. Mathur, Tyler J. VanderWeele
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Resampling under Complex Sampling Designs: Roots, Development and the Way Forward

open access: yesStats, 2022
In the present paper, resampling for finite populations under an iid sampling design is reviewed. Our attention is mainly focused on pseudo-population-based resampling due to its properties.
Pier Luigi Conti, Fulvia Mecatti
doaj   +1 more source

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