Results 31 to 40 of about 308,158 (292)

BIC Defacing Algorithm [PDF]

open access: yes, 2018
Abstract Public distribution of imaging information from several MRI data processing projects at the BIC has lead to the development of this DEFACING algorithm that is used as part of anonymisation process. Key features of the algorithm include: the defacing should modify voxels associated with face of the subject, making a rendering of
Fonov, Vladimir S., Collins, Louis D.
openaire   +1 more source

COMPARISON OF SURVIVAL ANALYSIS USING ACCELERATED FAILURE TIME MODEL AND COX MODEL FOR RECIDIVIST CASE

open access: yesBarekeng
Recidivists, or ex-prisoners who commit crimes after serving a prior sentence, pose a critical challenge to the criminal justice system. This study examines social and economic factors that may reduce the likelihood of recidivists being re-arrested ...
Nuraziza Arfan   +3 more
doaj   +1 more source

A budget optimisation model for road safety infrastructure countermeasures

open access: yesCogent Engineering, 2022
The requirements and modifications to the road infrastructure to achieve high levels of safety require different countermeasures that are not directly comparable considering their life span.
Chris Bic Byaruhanga, Harry Evdorides
doaj   +1 more source

How Many Communities Are There? [PDF]

open access: yes, 2015
Stochastic blockmodels and variants thereof are among the most widely used approaches to community detection for social networks and relational data. A stochastic blockmodel partitions the nodes of a network into disjoint sets, called communities.
Feng, Yang   +2 more
core   +3 more sources

Bayesian Cluster Enumeration Criterion for Unsupervised Learning

open access: yes, 2018
We derive a new Bayesian Information Criterion (BIC) by formulating the problem of estimating the number of clusters in an observed data set as maximization of the posterior probability of the candidate models.
Muma, Michael   +2 more
core   +1 more source

A relational dataflow database [PDF]

open access: yes, 1981
A model of a relational database system based on the principles of functional, data-driven computation is proposed. Relations (sets of data tuples) are represented as streams of values carried by independent tokens among operators of an unraveling ...
Bic, Lubomir
core   +1 more source

Obesity Subtypes and Longitudinal Trajectories of Function Over Seven Years of Follow‐Up: Data From the Multicenter Osteoarthritis Study

open access: yesArthritis Care &Research, EarlyView.
Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk   +7 more
wiley   +1 more source

A data-driven model for parallel interpretation of logic programms [sic] [PDF]

open access: yes, 1984
The main objective of this paper is to present a model of computation which permits logic programs to be executed on a highly-parallel computer architecture. It demonstrates how logic programs may be converted into collections of dataflow graphs in which
Bic, Lubomir
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Factor analysis of correlation matrices when the number of random variables exceeds the sample size

open access: yesStatistical Theory and Related Fields, 2017
Factor analysis which studies correlation matrices is an effective means of data reduction whose inference on the correlation matrix typically requires the number of random variables, p, to be relatively small and the sample size, n, to be approaching ...
Miguel Marino, Yi Li
doaj   +1 more source

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