H. Highfill
Management Science and Operations Research · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 11 citations into it
Whom H. Highfill trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from H. Highfill's perspective
Ordered by how strongly the researchers H. Highfill trusts endorse each paper. Same corpus, a different order for every researcher.
- Hidden Technical Debt in Machine Learning Systems
- Potter's Wheel: An Interactive Data Cleaning System
- ActiveClean: Interactive Data Cleaning For Statistical Modeling
- Concrete Problems in AI Safety
- Wrangler: interactive visual specification of data transformation scripts
- DataHub: Collaborative Data Science & Dataset Version Management at Scale
- Enterprise Data Analysis and Visualization: An Interview Study
- Software Engineering for Machine Learning: A Case Study (2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP))
- Investigating statistical machine learning as a tool for software development
- Winner's Curse? On Pace, Progress, and Empirical Rigor
Their papers
- “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021) — 992 citations