Results 151 to 160 of about 389,136 (225)

The differences in essential facial areas for impressions between humans and deep learning models: An eye‐tracking and explainable AI approach

British Journal of Psychology, Volume 117, Issue 2, Page 503-527, May 2026.
Abstract This study explored the facial impressions of attractiveness, dominance and sexual dimorphism using experimental and computational methods. In Study 1, we generated face images with manipulated morphological features using geometric morphometrics. In Study 2, we conducted eye tracking and impression evaluation experiments using these images to
Takanori Sano, Jun Shi, Hideaki Kawabata
wiley   +1 more source

Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [PDF]

Med Phys, 2019
Ha W, Sidky EY, Barber RF, Schmidt TG, Pan X.   +4 more
europepmc   +1 more source

An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models

British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 2, Page 409-436, May 2026.
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, Anja F. Ernst, Ginette Lafit, Ward B. Eiling, Laura F. Bringmann   +4 more
wiley   +1 more source

Minimising the Kullback-Leibler Divergence for Model Selection in Distributed Nonlinear Systems. [PDF]

Entropy (Basel), 2018
Cliff OM, Prokopenko M, Fitch R.
europepmc   +1 more source

Imbalance‐Aware Credit Card Fraud Detection Using Multi‐Autoencoders and Generative Ensemble Learning

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi, Khalid Alahmadi, Xianzhi Wang   +2 more
wiley   +1 more source

Kullback-Leibler divergence and the Pareto-Exponential approximation. [PDF]

Springerplus, 2016
Weinberg GV.
europepmc   +1 more source

Uncovering Heart Rate Response Patterns to Threat Pictures Through Deep Latent Representation Learning with a Variational Autoencoder

Psychophysiology, Volume 63, Issue 5, May 2026.
ABSTRACT Group‐level averaging of psychophysiological data often obscures meaningful individual differences, masking response patterns that may explain variability in behavior and central nervous system activity. Identifying such patterns is particularly relevant in heart rate (HR) responses to threat, where subtle variations may reflect distinct ...
Stephan Moratti, Sergio Felipe Calvo García   +1 more
wiley   +1 more source

Kullback-Leibler Divergence Based Distributed Cubature Kalman Filter and Its Application in Cooperative Space Object Tracking. [PDF]

Entropy (Basel), 2018
Hu C, Lin H, Li Z, He B, Liu G.
europepmc   +1 more source

Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling. [PDF]

BMC Med Imaging, 2017
Liang S, Yang F, Wen T, Yao Z, Huang Q, Ye C.   +5 more
europepmc   +1 more source

Analysis of Cell Signal Transduction Based on Kullback-Leibler Divergence: Channel Capacity and Conservation of Its Production Rate during Cascade. [PDF]

Entropy (Basel), 2018
Tsuruyama T.
europepmc   +1 more source