Kyle Volle

EngineeringComputer 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 3 papers. Top paper: “DOMINO: Domain-aware loss for deep learning calibration”.

DOMINO: Domain-aware loss for deep learning calibration

Software Impacts(2023)10.1016/j.simpa.2023.100478

N/A

0DataRank · unranked

3 citations

Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink +3 more

DOMINO: Domain-aware Loss for Deep Learning Calibration

arXiv (Cornell University)(2023)10.48550/arxiv.2302.05142

N/A

0DataRank · unranked

0 citations

Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink +3 more

DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability

arXiv (Cornell University)(2023)10.48550/arxiv.2308.10453

N/A

0DataRank · unranked

0 citations

Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin Brink +3 more