Pravin Ambure
Computational Theory and Mathematics · 2015–2017
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 24 citations into it
Whom Pravin Ambure trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Paola Gramatica (in Computational Theory and Mathematics)
- Alexander Tropsha (in Computational Theory and Mathematics)
Papers from Pravin Ambure's perspective
Ordered by how strongly the researchers Pravin Ambure trusts endorse each paper. Same corpus, a different order for every researcher.
- The Problem of Overfitting
- The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
- Beware of q2! (Journal of Molecular Graphics and Modelling)
- Density Estimation for Statistics and Data Analysis
- Introduction to Multivariate Statistical Analysis in Chemometrics
- QSAR Models Using a Large Diverse Set of Estrogens (Journal of chemical information and computer sciences)
- QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review (Alternatives to laboratory animals : ATLA)
- Evaluation of model predictive ability by external validation techniques
- Principal Component Analysis
- Neural Network Studies
Their papers
- How important is to detect systematic error in predictions and understand statistical applicability domain of QSAR models (2017) — 135 citations
- Be aware of error measures. Further studies on validation of predictive QSAR models (2016) — 637 citations
- On a simple approach for determining applicability domain of QSAR models (2015) — 683 citations