Work

DQR-FS: Code and Reproducibility Materials for Risk-Aware Pareto Feature Selection in Hamming Space

Year: 2026

Type: software

Abstract: This record contains the final code, frozen protocol manifest, dataset registry, post-primary robustness analyses, and supplementary materials associated with the DQR-FS study. The archive includes the V15.1 primary benchmark runner, the final quadratic/linear/no-surrogate ablation and robustness suite, and the search-efficiency analysis. Datasets are retrieved from OpenML and verified against frozen identifiers and checksums; raw datasets are not redistributed.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22654780

Author: UYSAL, ILHAN

Institution: Burdur Mehmet Akif Ersoy Üniversitesi

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7211973897

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