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
Enhanced backpropagation neural network accuracy through an improved genetic algorithm for tourist flow prediction in an ecological village. [PDF]
Sci RepChen X, Wong CUI, Zhang H, Song Z.
europepmc +1 more source
A Texture‐Free Multi‐Scale Model for Surface‐Based Rendering of Knitted Fabrics
Computer Graphics Forum, EarlyView.Abstract Knitted fabrics present unique challenges for realistic rendering due to their complicated structure and scale‐dependent appearance. Existing methods typically rely on explicit yarn geometry, which is computationally complex, or texture‐based representations that require heavy storage and precomputed maps. In this paper, we introduce the first
Apoorv Khattar +3 more
wiley +1 more source
Assessment of off-road agricultural traction in situ using large scale machine learning and neurocomputing models. [PDF]
Sci RepMwiti F +5 more
europepmc +1 more source
High‐Gloss SVBRDF Captur e Using Bounce Light
Computer Graphics Forum, EarlyView.Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser +2 more
wiley +1 more source
Physical neural networks using sharpness-aware training. [PDF]
Nat CommunXu T +7 more
europepmc +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
Embedding Optimization of Layouts via Distortion Minimization
Computer Graphics Forum, EarlyView.Abstract Given an embedding of a layout in the surface of a target mesh, we consider the problem of optimizing the embedding geometrically. Layout embeddings partition the surface into multiple disk‐like patches, making them particularly useful for parametrization and remeshing tasks, such as quad‐remeshing, since these problems can then be solved on ...
A. Heuschling, I. Lim, L. Kobbelt
wiley +1 more source
Comparison of Input-Data Matrix Representations Used for Continual Learning with Orthogonal Weight Modification on Edge Devices. [PDF]
Sensors (Basel)Mendez R, Maier A, Emmert J.
europepmc +1 more source
Journal of Microscopy, EarlyView.Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester +6 more
wiley +1 more source