Dezhi Fang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #17,591 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 5 citations into it; #28,614 of 35,345 by trust here, #29,412 by citations

Whom Dezhi Fang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Josua Krause
2. Saleema Amershi
3. Adam Perer
4. Zhicheng Liu
5. Todd Kulesza

Who trusts Dezhi Fang overall

1. Giulia Vilone
2. Minsuk Kahng
3. Fred Hohman
4. Paolo Tamagnini
5. Neoklis Polyzotis

Papers from Dezhi Fang's perspective

Ordered by how strongly the researchers Dezhi Fang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
3. ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
4. Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
5. INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data
6. Ad click prediction: a view from the trenches
7. Et al
8. Hidden Technical Debt in Machine Learning Systems
9. FeatureInsight: Visual support for error-driven feature ideation in text classification
10. Materialization optimizations for feature selection workloads

Their papers

• Visual exploration of machine learning results using data cube analysis (2016) — 82 citations