Results 71 to 80 of about 3,602,130 (312)
This study investigates the role of electrode density in capturing resting-state brain activity, an area of significant clinical relevance, where electroencephalography (EEG) is favored for its cost-efficiency.
Matheus Mangini Bertuzzo +4 more
doaj +1 more source
Large efforts are currently under way to systematically map functional connectivity between all pairs of millimeter-scale brain regions based on large neuroimaging databases.
Enzo Tagliazucchi +5 more
doaj +1 more source
Characterizing the Complexity of Weighted Networks via Graph Embedding and Point Pattern Analysis
We propose a new metric to characterize the complexity of weighted complex networks. Weighted complex networks represent a highly organized interactive process, for example, co-varying returns between stocks (financial networks) and coordination between ...
Shuo Chen +5 more
doaj +1 more source
Residual diagnostics for covariate effects in spatial point process models
For a spatial point process model in which the intensity depends on spatial covariates, we develop graphical diagnostics for validating the covariate effect term in the model, and for assessing whether another covariate should be added to the model.
Song, Y. +4 more
core +1 more source
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images
Convolutional neural networks (CNN) have shown great results for object-detection tasks by learning texture and pattern-extraction filters. However, object-level interactions are harder to grasp without increasing the complexity of the architectures.
Jules Mabon +2 more
doaj +1 more source
Criticality in large-scale brain fMRI dynamics unveiled by a novel point process analysis.
Functional magnetic resonance imaging (fMRI) techniques have contributed significantly to our understanding of brain function. Current methods are based on the analysis of gradual and continuous changes in the brain blood oxygenated level dependent ...
Enzo eTagliazucchi +7 more
doaj +1 more source
Identifying Flow Clusters Based on Density Domain Decomposition
Flow clustering is one of the most important data mining methods for the analysis of origin-destination (OD) flow data, and it may reveal the underlying mechanisms responsible for the spatial distributions and temporal dynamics of geographical phenomena.
Ci Song, Tao Pei, Hua Shu
doaj +1 more source
Pairwise interaction point processes for modelling bivariate spatial point patterns in the presence of interaction uncertainty [PDF]
Current ecological research seeks to understand the mechanisms that sustain biodiversity and allow a large number of species to coexist. Coexistence concerns inter-individual interactions. Consequently, there is an interest in identifying and quantifying
Nightingale, Glenna Faith +5 more
core
Simulation of cluster point processes without edge effects [PDF]
The usual direct method of simulation for cluster processes requires the generation of the parent point process over a region larger than the actual observation window, since we have to allow for all possible parents giving rise to observed daughter ...
Brix, Anders, Kendall, W. S.
core +1 more source

