Work

Performance Comparison of Convolutional and Multiclass Neural Network for Learning Style Detection from Facial Images

Year: 2018

Type: article

Abstract: Improving the accuracy of learning style detection models is a primary concern in the area of automatic detection of learning style, which can be achieved either through, attribute/feature selection or classification algorithm. However, the role of facial expression

Source: ICST Transactions on Scalable Information Systems

DOI: 10.4108/eai.20-10-2021.171549

Authors: F.L. Gambo, G.M. Wajiga, L. Shuib, E.J. Garba, A.A. Abdullahi, D.B. Bisandu

Institutions: Federal University Dutse, Modibbo Adama University of Technology, University of Malaya, University of Jos

Language: English

Topic: Learning Styles and Cognitive Differences

Subfield: Developmental and Educational Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: diamond

Funder: Tertiary Education Trust Fund

OpenAlex ID: W3205718485

FWCI:

Cites: 33

Cited by: 11

Related to: 10