Dan DeBlasio

Biochemistry, Genetics and Molecular BiologyComputer 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 4 papers. Top paper: “Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets”.

Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets

Journal of Computational Biology(2024)10.1089/cmb.2024.0544

N/A

0.241DataRank · unranked

4 citations

Dan DeBlasio, Carl Kingsford, Guillaume Marçais

How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design

arXiv (Cornell University)(2021)10.1145/3406325.3451036

N/A

0DataRank · unranked

3 citations

Dan DeBlasio, Travis Dick, Carl Kingsford, Tüomas Sandholm, Ellen Vitercik +1 more

Sketching methods with small window guarantee using minimum decycling sets

arXiv (Cornell University)(2023)10.48550/arxiv.2311.03592

N/A

0DataRank · unranked

0 citations

Dan DeBlasio, Carl Kingsford, Guillaume Marçais

How Much Data Is Sufficient to Learn High-Performing Algorithms?

Journal of the ACM(2024)10.1145/3676278

N/A

0DataRank · unranked

14 citations

Dan DeBlasio, Travis Dick, Carl Kingsford, Tüomas Sandholm, Ellen Vitercik +1 more