Comparative results of MultiFAR with SOTA and baseline approaches over balanced dataset.

<p>Comparative results of MultiFAR with SOTA and baseline approaches over balanced dataset.</p>

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Glavni avtor:	Mohd Fazil (17038802) (author)
Drugi avtorji:	Bader M. Albahlal (22493354) (author)
Izdano:	2025
Teme:	Science Policy Mental Health Biological Sciences not elsewhere classified Information Systems not elsewhere classified understand different aspects performing students early online learning platforms four different problems driven representation learning connect without temporal ablation analysis reveals student performance prediction multidimensional information fusion multifar reports results diurnal interaction shows daily interaction information predict student performance also extend multifar interaction information student behavior also implement also evaluate multifar accuracy xlink "> term memory significant features multifaceted data manuscript proposes least impact infuses multi geographical boundaries empirical evaluation dataset establishes crafted features convolutional operation convolutional networks considering accuracy computing technology capture patterns baseline methods balanced dataset assign weight art approaches
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