Results 91 to 100 of about 5,170 (214)
ViR²: Beam-guided semantic and syntactic example selection for prompting Vietnamese Text-to-SQL
Vietnam Journal of Science, Technology and EngineeringText-to-Structured Query Language (SQL) enables natural language interfaces to databases, yet its performance in low-resource languages such as Vietnamese is limited due to scarce annotated data and translation noise. Existing few-shot prompting methods
Dinh Minh Hoa, Tran Thien Khai
doaj +1 more source
Bacpipe: A Python package to make bioacoustic deep learning models accessible
Methods in Ecology and Evolution, EarlyView.Abstract Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated the analysis of large portions of this data. While new models advance the state‐of‐the‐art, accessing them using tools to harness their full potential is not always ...
Vincent S. Kather +3 more
wiley +1 more source
Residual permutation tests for feature importance in machine learning
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British 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
Virtual cell construction for artificial intelligence‐driven drug discovery
British Journal of Pharmacology, EarlyView.Cells are the fundamental units through which genetic variation and pharmacological perturbations influence disease processes and therapeutic responses. However, cellular responses to intervention are strongly shaped by biological context, creating a central challenge for drug discovery: predicting how specific perturbations reshape cellular systems ...
Yuran Jia +5 more
wiley +1 more source
Child &Family Social Work, EarlyView.ABSTRACT Parental consent is a critical prerequisite for children to receive welfare interventions following an assessment of need. Without such consent, the likelihood that children will receive necessary interventions decreases substantially. Despite its importance, research on parental consent and the factors influencing it remains limited across ...
Kristofer Nilsson +2 more
wiley +1 more source
Multi‐Spectral Gaussian Splatting with Neural Color Representation
Computer Graphics Forum, EarlyView.Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer +5 more
wiley +1 more source
Contouring Signed Distance Fields by Approximating Gradients
Computer Graphics Forum, EarlyView.Abstract Signed distance fields are often represented by discrete samples (e.g., on a grid). Recovering the contour implicitly represented by the distance samples requires an approximation algorithm. Several recent approaches have shown that exploiting the information carried in each distance sample by explicitly constructing a surface point gives ...
M. Kohlbrenner, M. Alexa
wiley +1 more source
VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations
Computer Graphics Forum, EarlyView.Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi +5 more
wiley +1 more source
Survey on differential estimators for 3d point clouds
Computer Graphics Forum, EarlyView.Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source