Transfer Learning from Deep Neural Networks for Predicting Student Performance

Transferring knowledge from one domain to another has gained a lot of attention among scientists in recent years. Transfer learning is a machine learning approach aiming to exploit the knowledge retrieved from one problem for improving the predictive performance of a learning model for a different b...

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Bibliographic Details
Main Authors: Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/6/2145