Results 141 to 150 of about 131,744 (288)
Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta-Analysis Approach. [PDF]
Trotter AS +3 more
europepmc +1 more source
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation. Our model directly takes 2D pose as input and learns a generalized 2D-3D mapping function.
Fang, Haoshu +4 more
core +1 more source
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid +3 more
wiley +1 more source
What About Eco‐Populism? A Neglected Historical Tradition
Constellations, EarlyView.
Federico Tarragoni
wiley +1 more source
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
wiley +1 more source
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. [PDF]
Zuidema W +6 more
europepmc +1 more source
Idiographic interrater reliability measures for intensive longitudinal multirater data
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch +4 more
wiley +1 more source
Children learn linguistic structures from the input they receive. Their learning may depend on several factors such as children’s sensitivity to structure in the input, prior language experience, and the consistency of linguistic structures in the input.
Marica Savarino +4 more
doaj +1 more source
This study evaluated how artificial label noise affects cancer pathology segmentation models, demonstrating that boundary‐dependent noise leads to overestimation of performance metrics, while random noise mixtures further harm generalization. Our results highlight the need for standardized noise‐quantification and mitigation methods and for developing ...
Kenji Harada +4 more
wiley +1 more source
Static boundaries of protected areas failed to capture the Canary Islands stonechat's shifting distribution patterns. Abstract Protected areas represent cornerstones of biodiversity conservation on oceanic islands, yet their effectiveness for endemic species remains poorly evaluated. We assessed how various territorial protection categories conserve an
Luis M. Carrascal +2 more
wiley +1 more source

