Vanessa D’Amario

Computer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 1 paper. Top paper: “The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions”.

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions

Frontiers in Computational Neuroscience(2022)10.3389/fncom.2022.760085

N/A

0DataRank · unranked

12 citations

Sanjana Srivastava, Tomotake Sasaki, Xavier Boix, Vanessa D’Amario