<p>Building the Classification Model (A) and Obtainment of the Time Spent Performing Activities (B).</p
The evaluation results based on four pretraining language models for two datasets.</p
<p>Descriptive statistics of time spent on completing the manufacturing task.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Runninig time of MIDClass to (a) build and establish its reliability using the LOOCV and (b) to c...
Description of the functions, activity, and outputs of each script employed in the group model build...
<p>Model validation of time-activity classification by leave-one-fold-out and leave-one-subject-out<...
The obtained classification reports while evaluating the best model on the testing sets.</p
Sufficiency table showing which learning mechanisms in the model are required for each result.</p
<p>Summary of the number of occurrences used in model building for each taxon based on the two video...
Representation of the training (phase 1), validating (phase 2) and testing (phase 3) processes of th...
Workflow of the Training and testing procedure of the model for the regional and provincial analyses...
<p>Learning time per list as a function of day of experiment with a fitted straight line.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
Theoretical model of learning for action through the World Climate simulation.</p
Steps involved in developing prediction model using artificial intelligence techniques.</p
The evaluation results based on four pretraining language models for two datasets.</p
<p>Descriptive statistics of time spent on completing the manufacturing task.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Runninig time of MIDClass to (a) build and establish its reliability using the LOOCV and (b) to c...
Description of the functions, activity, and outputs of each script employed in the group model build...
<p>Model validation of time-activity classification by leave-one-fold-out and leave-one-subject-out<...
The obtained classification reports while evaluating the best model on the testing sets.</p
Sufficiency table showing which learning mechanisms in the model are required for each result.</p
<p>Summary of the number of occurrences used in model building for each taxon based on the two video...
Representation of the training (phase 1), validating (phase 2) and testing (phase 3) processes of th...
Workflow of the Training and testing procedure of the model for the regional and provincial analyses...
<p>Learning time per list as a function of day of experiment with a fitted straight line.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
Theoretical model of learning for action through the World Climate simulation.</p
Steps involved in developing prediction model using artificial intelligence techniques.</p
The evaluation results based on four pretraining language models for two datasets.</p
<p>Descriptive statistics of time spent on completing the manufacturing task.</p
Comparing performance of the proposed methods built with different number of individual models.</p
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