Ariel Schwarztman
Nuclear and High Energy Physics · 2014
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 21 citations into it; #3,245 of 6,161 by trust here, #4,371 by citations
- Artificial Intelligence — 5 citations into it; #17,717 of 35,345 by trust here, #19,439 by citations
Whom Ariel Schwarztman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ariel Schwarztman overall
Papers from Ariel Schwarztman's perspective
Ordered by how strongly the researchers Ariel Schwarztman trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximizing boosted top identification by minimizing N-subjettiness (Journal of High Energy Physics)
- Jet trimming
- Identifying boosted objects with N-subjettiness
- Finding physics signals with shower deconstruction
- Recombination algorithms and jet substructure: Pruning as a tool for heavy particle searches
- Scikit-learn: Machine Learning in Python
- Boosted objects: a probe of beyond the standard model physics
- Jet substructure at the Tevatron and LHC: new results, new tools, new benchmarksReport prepared by the participants of the BOOST 2011 Workshop at Princeton University, 22–26 May 2011. L Asquith…
- Eigenfaces vs . Fisherfaces : Recognition Using Class Speci c Linear Projection
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
Their papers
- Jet-images: computer vision inspired techniques for jet tagging (2014) — 221 citations