Results 211 to 220 of about 16,203 (295)

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs. [PDF]

Sensors (Basel)
Xu H, Hassan SA, Haider W, Sun Y, Yu X.
europepmc   +1 more source

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models. [PDF]

Front Neurosci
Sravanthi GS, Sharma LD.
europepmc   +1 more source

Survey on Visualization of Information Diffusion over Networks

Computer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +1 more source

A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction. [PDF]

Sci Rep
Ng KW, Huang YF, Koo CH, El-Shafie A, Sherif M, Ahmed AN.   +5 more
europepmc   +1 more source

The Story(line) So Far: A Survey on Storyline Visualization

Computer Graphics Forum, EarlyView.
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo, A. Dobler, V. Filipov, M. Nöllenburg, H. Ehlers   +4 more
wiley   +1 more source

Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review. [PDF]

Neurol Ther
Malik E, Wizner M, Karpierz JI, Pająk Z, Roszkowska M, Rojek M, Paprocka J.   +6 more
europepmc   +1 more source

Comprehensive framework for assessing and optimizing existing research networks

Conservation Biology, EarlyView.
Abstract Conservation, monitoring, and research networks, or collections of ecological research sites unified under a common mission of data collection or a research mission, are essential infrastructure for understanding large landscapes. However, most networks developed opportunistically over decades rather than through systematic design, creating ...
Alyson East, Jitendra Kumar, William Hargrove   +2 more
wiley   +1 more source

Research on forward multi-step prediction of EU carbon prices considering multiple factors new evidence from a hybrid model combining secondary decomposition technique and transformer. [PDF]

PLoS One
Zheng H, Zhuang S, Zhang T.
europepmc   +1 more source