Nicola Lunardon
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #28,080 of 35,345 by trust here, #34,943 by citations
Whom Nicola Lunardon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nicola Lunardon overall
Papers from Nicola Lunardon's perspective
Ordered by how strongly the researchers Nicola Lunardon trusts endorse each paper. Same corpus, a different order for every researcher.
- Training and assessing classification rules with imbalanced data (Data mining and knowledge discovery)
- Data Mining with R: Learning with Case Studies
- Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
- Semiparametric Theory and Missing Data
- Analysis of Incomplete Multivariate Data (Technometrics)
- The Prevention and Treatment of Missing Data in Clinical Trials
- Higher Order Tangent Spaces and Influence Functions
- The Jackknife Estimate of Variance
- Missing data
- Pattern–mixture and selection models for analysing longitudinal data with monotone missing patterns
Their papers
- Global sensitivity analysis for repeated measures studies with informative drop‐out: A semi‐parametric approach (2018) — 25 citations
- ROSE: a Package for Binary Imbalanced Learning (2014) — 471 citations