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Change in ADHD symptoms, as rated by parents and teachers, was examined post hoc in patients of the intent-to-treat-population (N = 822), using growth-mixture modelling to detect response trajectory groups after switching medication.
As in previous studies (Massimini et al., 2005, 2010; Ferrarelli et al., 2010), in order to probe the ability of distributed thalamocortical modules to interact, we stimulated a subset of cortical neurons with TMS and performed EEG source modelling to detect, on a millisecond time-scale, the chain of effects triggered in the rest of the brain by this initial perturbation.
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Wang [39] showed the effectiveness of using logistic regression modeling to detect multi-attack types.
We used Box-Jenkins modeling to detect and model autocorrelation in our independent and, after adjusting for covariates, dependent variable (Box et al. 1994).
Sensor nodes use binary detection model to detect target.
The technology uses deep learning models to detect, normalize, validate, match and identify faces.
Scales big data projects, developing complex models to detect patterns in social data.
To develop and validate a prediction model to detect sensitization to wheat allergens in bakery workers.
Kvaale proposed an artificial neural network model to detect emotions [11].
Considering the case of multiple people collusion, we adopt the second model to detect them.
Sweeney et al. [10] used a game theoretic model to detect communities in large networks.
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