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Exclusion criteria were genetic or medical disorders associated with behavior mimicking ADHD, autism, epilepsy, IQ<70, and the absence of a medication-free period permitting evaluation in the previous 2 years.
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The abstract sections were not considered in this evaluation, because they were evaluated in the previous work.
This experiment is conducted to find the capability of the CoLBP detector to detect faces using the same evaluation dataset in the previous section however examined with wide range of error tolerance instead of the strict method of evaluation.
These results are consistent with our finding in the imperceptibility evaluation presented in the previous section.
Similar to the objective evaluation results presented in the previous section, the subjective evaluation results show that HMMSS + VC is the most similar to the original voice in term of smoothness.
In a follow-up study, the same word evaluation task as in the previous study (word – word prime – target pairs) was employed, and in addition a face evaluation task (face – face prime – target pairs) including happy and sad faces.
This section presents the research questions which will be answered using the evaluation methods discussed in the previous section.
Time-series data of gestalt evaluation values proposed in the previous section are used as the training data.
The evaluation results discussed in the previous section have shed new light on the temporal dynamics of user activity in location-based services.
This section is both an example of the setup and evaluation methodology presented in the previous section and a description of the simulation results.
To compare the classification performance of the MMM and SMM (on the remaining 30%% of our ChEMBL17 dataset) we utilised the two evaluation schemes described in the previous section: the "Recall Precision" metric and the ranking scheme.
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