Daniel Afergan
ACM Symposium on User Interface Software and Technology · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Daniel Afergan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio (in Artificial Intelligence)
Papers from Daniel Afergan's perspective
Ordered by how strongly the researchers Daniel Afergan trusts endorse each paper. Same corpus, a different order for every researcher.
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Learning Deep Architectures for AI
- Learning visual similarity for product design with convolutional neural networks
- Image-Based Recommendations on Styles and Substitutes
- A large-scale hierarchical image database
- A search engine for 3D models (TOGS)
- Example-centric programming: integrating web search into the development environment (International Conference on Human Factors in Computing Systems)
- Brahmastra: Driving Apps to Test the Security of Third-Party Components
- A measurement study of google play (Measurement and Modeling of Computer Systems)
- ImageNet classification with deep convolutional neural networks
Their papers
- Rico: A Mobile App Dataset for Building Data-Driven Design Applications (2017) — 724 citations