Results 141 to 150 of about 125,665 (304)

Provenance Analysis Based on Cluster In‐Betweenness and Support Vector Machines: Identifying Migrant Candidates Using Multi‐Isotope Fingerprints

open access: yesArchaeometry, EarlyView.
ABSTRACT Provenance reconstruction using strontium and lead stable isotopes can produce complex multidimensional fingerprints, challenging traditional methods. Identifying nonlocals, who migrated between sites, is a major task. Migrants are identifiable by divergent multi‐isotope fingerprints due to isotopic mixing between origin and destination sites.
Andrea Göhring   +8 more
wiley   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Functional Data Strengthen Clinical Validation of PhenoScore Phenotype‐Guided AI for ANKRD11 Missense Variants

open access: yesClinical Genetics, EarlyView.
PhenoScore, an AI framework integrating facial recognition and clinical phenotype data, accurately identifies pathogenic ANKRD11 missense variants associated with KBG syndrome (AUC 0.95). Validated against functional data, PhenoScore outperforms REVEL and complements AlphaMissense, providing objective phenotypic evidence to reduce variants of uncertain
Evi Andriessen   +5 more
wiley   +1 more source

Basis Networks: Learning basis functions for free‐form triangulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley   +1 more source

Hyperplanes of Segre Geometries

open access: yesArs Combinatoria
We classify the geometric hyperplanes of the Segre geometries, that is, direct products of two projective spaces. In order to do so, we use the concept of a generalised duality. We apply the classification to Segre varieties and determine precisely which geometric hyperplanes are induced by hyperplanes of the ambient projective space.
openaire   +2 more sources

On Spatial Point Processes With Composition‐Valued Marks

open access: yesInternational Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt   +2 more
wiley   +1 more source

Measure partitions using hyperplanes with fixed directions [PDF]

open access: green, 2016
Роман Карасев   +2 more
openalex   +1 more source

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