Faizan Malik
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Genetics — 6 citations into it
Whom Faizan Malik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Eric R. Ziegel
- J. Platt
- Niko Speybroeck
- Nicola Segata
- Alexander R. Statnikov
- Hui Zou
Papers from Faizan Malik's perspective
Ordered by how strongly the researchers Faizan Malik trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Addendum: Regularization and variable selection via the elastic net
- The Elements of Statistical Learning
- Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach (Gut)
- Large-Scale Bayesian Logistic Regression for Text Categorization (Technometrics)
- Scikit-learn: Machine Learning in Python
- Classification and regression trees
- Support vector machine classification and validation of cancer tissue samples using microarray expression data (Bioinform.)
- A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis (Bioinform.)
- Microbial ecology: Human gut microbes associated with obesity (Nature)
Their papers
- Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights (2016) — 568 citations
- Accessible, curated metagenomic data through ExperimentHub (2017) — 480 citations