A literature survey on abstract concept recognition in videos that catalogs prior tasks and datasets while advocating for foundation models and reuse of decades of community experience.
Comparative Study of Machine Learning Algorithms for Student Retention, early warning and intervention systems for Institutions of Higher Learning,
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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Logistic regression and linear SVM achieve the highest accuracy among four common classifiers when trained on student records to predict attrition.
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Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding
A literature survey on abstract concept recognition in videos that catalogs prior tasks and datasets while advocating for foundation models and reuse of decades of community experience.
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Analysis and Prediction of At-Risk Students Using Machine Learning Algorithms
Logistic regression and linear SVM achieve the highest accuracy among four common classifiers when trained on student records to predict attrition.