Moshe Sipper

Computer ScienceEngineering

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 6 papers. Top paper: “New Pathways in Coevolutionary Computation”.

New Pathways in Coevolutionary Computation

Genetic and evolutionary computation(2020)10.1007/978-3-030-39958-0_15

N/A

0DataRank · unranked

2 citations

Jason H. Moore, Ryan J. Urbanowicz, Moshe Sipper

Conservation machine learning: a case study of random forests

Scientific Reports(2021)10.1038/s41598-021-83247-4

N/A

0DataRank · unranked

84 citations

Jason H. Moore, Moshe Sipper

AddGBoost: A gradient boosting-style algorithm based on strong learners

Machine Learning with Applications(2021)10.1016/j.mlwa.2021.100243

N/A

0DataRank · unranked

30 citations

Jason H. Moore, Moshe Sipper

Symbolic-regression boosting

Genetic Programming and Evolvable Machines(2021)10.1007/s10710-021-09400-0

N/A

0DataRank · unranked

11 citations

Jason H. Moore, Moshe Sipper

Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems

arXiv (Cornell University)(2022)10.48550/arxiv.2206.13509

N/A

0DataRank · unranked

0 citations

Jason H. Moore, Ryan J. Urbanowicz, Moshe Sipper

Coevolving Artistic Images Using OMNIREP

arXiv (Cornell University)(2024)10.48550/arxiv.2401.11167

N/A

0DataRank · unranked

0 citations

Jason H. Moore, Ryan J. Urbanowicz, Moshe Sipper