Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning.
- DOI
- 10.1145/3795095.3805127
- Published
- 2026
- Container
- Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1145/3795095.3805127,
title = {Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning.},
author = {Lipschutz-Villa G and Bandhey H and Dinh K and Heider M and Kamoun M and Urbanowicz RJ},
year = {2026},
journal = {Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference},
doi = {10.1145/3795095.3805127},
url = {https://doi.org/10.1145/3795095.3805127}
}RIS
TY - JOUR TI - Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning. AU - Lipschutz-Villa G AU - Bandhey H AU - Dinh K AU - Heider M AU - Kamoun M AU - Urbanowicz RJ PY - 2026 JO - Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference DO - 10.1145/3795095.3805127 UR - https://doi.org/10.1145/3795095.3805127 ER -
APA
G, L., H, B., K, D., M, H., M, K., & RJ, U. (2026). Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning.. Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference. https://doi.org/10.1145/3795095.3805127
Source records
- pubmed · retrieved 2026-09-25T20:05:35.628Z
- europe-pmc · retrieved 2026-09-25T20:05:35.639Z