Emre Ahmetcik
Materials Chemistry · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 25 citations into it
- Artificial Intelligence — 7 citations into it
- Biomedical Engineering — 6 citations into it
Whom Emre Ahmetcik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Emre Ahmetcik's perspective
Ordered by how strongly the researchers Emre Ahmetcik trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Elements of Statistical Learning
- An Introduction To Compressive Sampling
- Compressed Sensing
- Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
- Multi-task feature selection
- Feature Construction Methods : A Survey
- The Fourth Paradigm: Data-Intensive Scientific Discovery
- NOMAD: The FAIR concept for big data-driven materials science (MRS bulletin)
- Decoding by linear programming