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AestheNet: Revolutionizing Aesthetic Perception Diagnosis in Education With Hybrid Deep Nets
15 references·0 citing·53 second hop
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References

  • 2009Blue or Red? Exploring the Effect of Color on Cognitive Task Performances762 cited
  • 2012Lean Service: A literature analysis and classification164 cited
  • 2009Cognitive Diagnosis Approaches to Language Assessment: An Overview118 cited
  • 2018Why do learners who draw perform well? Investigating the role of visualization, generation and externalization in learner-generated drawing90 cited
  • 2010Enhancing Children's Artistic and Creative Thinking and Drawing Performance through Appreciating Picture Books56 cited
  • 2015Primary students’ understanding and appreciation of the artwork in picturebooks49 cited
  • 2016Art Appreciation45 cited
  • 2021Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective24 cited
  • 1998Drawing Performance in Children with Special Learning Difficulties22 cited
  • 2015Aesthetic experience and creativity in arts education:Ehrenzweigand the primal syncretistic perception of the child22 cited
  • 2020Deformation modeling and classification using deep convolutional neural networks for computerized analysis of neuropsychological drawings18 cited
  • 2014The Development of Art Appreciation Abilities of Pupils in Primary School17 cited
  • 2019The Effect of Student Cultural Enculturation on Student Art Appreciation14 cited
  • 2019Aesthetic perceptions of art educators in higher education level at art classes and their effect on learners

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13 cited
  • 1986Human Figure-Drawing Performance of LD Children: Research and Clinical Perspectives7 cited
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