Results 211 to 220 of about 51,149 (311)

Fractal analysis in different regions of a fracture surface in a dental glass-ceramic. [PDF]

open access: yesDent Mater
Jodha KS   +5 more
europepmc   +1 more source

Discriminant validity and interrelations of conceptual and procedural knowledge in fractions and algebra: Evidence from confirmatory factor analysis

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background Conceptual and procedural knowledge are two distinct types of mathematical knowledge. Measuring them with sufficient discriminant validity is challenging because they are typically highly correlated. Prior studies have demonstrated discriminant validity of paper‐and‐pencil measures separately for fractions and algebra.
Michael D'Erchie   +3 more
wiley   +1 more source

Information and affective valence influence judgments of complexity, liking and understanding

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Visual complexity is a key factor in perceptual and evaluative judgments. People's representation of visual complexity is constructed from quantitative and structural image features, but it is also influenced by familiarity and expertise. We examined how people represent visual complexity and its impact on perception and evaluation, focusing ...
Xiaolei Sun   +3 more
wiley   +1 more source

Terrain Synthesis and Authoring based on Iso‐Contours

open access: yesComputer Graphics Forum, EarlyView.
Abstract Digital terrains are central to realistic landscape depiction, yet authoring tools must balance perceptual realism with intuitive artistic control. We propose a compact vector‐based representation that models terrain as nested iso‐contours, inspired by geomorphology and cartography.
B. Huftier   +5 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

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