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Improving eye-tracking calibration accuracy using symbolic regression

Research article (PLoS ONE, 2019) · cited 24× · AI/ML
academia openalex:W2922291523
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Improving eye-tracking calibration accuracy using symbolic regression

Summary

Improving eye-tracking calibration accuracy using symbolic regression is a scholarly article[1].

Key Facts

  • Improving eye-tracking calibration accuracy using symbolic regression's instance of is recorded as scholarly article[2].

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Christophe Hurter

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Improving eye-tracking calibration accuracy using symbolic regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-eye-tracking-calibration-accuracy-using-symbolic-regression
MLA “Improving eye-tracking calibration accuracy using symbolic regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-eye-tracking-calibration-accuracy-using-symbolic-regression.
BibTeX @misc{4ortxyz_improving-eye-tracking-calibration-accuracy-using-symbolic-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving eye-tracking calibration accuracy using symbolic regression}}, year = {2026}, url = {https://4ort.xyz/entity/improving-eye-tracking-calibration-accuracy-using-symbolic-regression}, note = {Accessed: 2026-05-24}}
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