Search Results for author:
Found 3 papers, 1 papers with code
UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classification
Advances in mobile applications providing image classification enabled by Deep Learning require innovative User Experience solutions in order to assure their adequate use by users.
TMIC: App Inventor Extension for the Deployment of Image Classification Models Exported from Teachable Machine
TMIC is an App Inventor extension for the deployment of ML models for image classification developed with Google Teachable Machine in educational settings.
Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
A common need for mobile application development by end-users or in computing education is to transform a sketch of a user interface into wireframe code using App Inventor, a popular block-based programming environment.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
