Everaldo Aguiar
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 Everaldo Aguiar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Everaldo Aguiar overall
Papers from Everaldo Aguiar's perspective
Ordered by how strongly the researchers Everaldo Aguiar 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