Kecia L. Addison
2015
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 Kecia L. Addison trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan (in Artificial Intelligence)
Papers from Kecia L. Addison's perspective
Ordered by how strongly the researchers Kecia L. Addison trusts endorse each paper. Same corpus, a different order for every researcher.
- Mining frequent patterns without candidate generation
- School Dropout as Predicted by Peer Rejection and Antisocial Behavior
- Preventing Student Disengagement and Keeping Students on the Graduation Path in Urban Middle-Grades Schools: Early Identification and Effective Interventions
- Induction of decision trees
- Random Forests
- The Price We Pay: Economic and Social Consequences of Inadequate Education
- Machine Learning that Matters
- Do We Know Who Will Drop Out?: A Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity
- A note on Platt’s probabilistic outputs for support vector machines (Machine-mediated learning)
- Predicting Students Drop Out: A Case Study (Educational Data Mining)
Their papers
- A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes (2015) — 184 citations