Kwan-Liu Ma

Computer Vision and Pattern Recognition · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #4,553 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 9 citations into it; #8,477 of 35,345 by trust here, #20,377 by citations
• Statistical and Nonlinear Physics — 5 citations into it

Whom Kwan-Liu Ma trusts overall

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

1. David E. Goldberg
2. Andrew H. Sung
3. Stephen I. Gallant
4. Alfred Inselberg
5. Julian D. Olden
6. David E. Rumelhart
7. Weiwei Cui
8. M. Gevrey
9. Alan B. Tickle
10. Yuzuru Tanahashi

Who trusts Kwan-Liu Ma overall

1. Shixia Liu
2. Mengchen Liu
3. Hendrik Strobelt
4. Yingcai Wu
5. Weiwei Cui
6. Sebastian Gehrmann
7. Paulo Cortez
8. Or Biran
9. Yao Ming
10. Yuzuru Tanahashi

Papers from Kwan-Liu Ma's perspective

Ordered by how strongly the researchers Kwan-Liu Ma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning representations by back-propagating errors
2. A Taxonomy of Clutter Reduction for Information Visualisation (IEEE Transactions on Visualization and Computer Graphics)
3. Interpreting neural-network connection weights
4. Ranking importance of input parameters of neural networks
5. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
6. Introduction to algorithms
7. Design Considerations for Optimizing Storyline Visualizations
8. StoryFlow: Tracking the Evolution of Stories
9. Geometry-Based Edge Clustering for Graph Visualization
10. Developing an empirical model of phytoplankton primary production: a neural network case study

Their papers

• Opening the black box - data driven visualization of neural networks (2005) — 164 citations
• Collaborative visualization: Definition, challenges, and research agenda (2011) — 328 citations
• Design Considerations for Optimizing Storyline Visualizations (2012) — 213 citations
• An Efficient Framework for Generating Storyline Visualizations from Streaming Data (2015) — 82 citations