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CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting

Research article (World Wide Web, 2019) · cited 23× · AI/ML
academia openalex:W2964318514
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CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting

Summary

CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting is a scholarly article[1].

Key Facts

  • CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting's instance of is recorded as scholarly article[2].

References

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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). CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting. Retrieved May 24, 2026, from https://4ort.xyz/entity/csteller-forecasting-scientific-collaboration-sustainability-based-on-extreme-gradient-boosting
MLA “CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/csteller-forecasting-scientific-collaboration-sustainability-based-on-extreme-gradient-boosting.
BibTeX @misc{4ortxyz_csteller-forecasting-scientific-collaboration-sustainability-based-on-extreme-gradient-boosting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting}}, year = {2026}, url = {https://4ort.xyz/entity/csteller-forecasting-scientific-collaboration-sustainability-based-on-extreme-gradient-boosting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting — https://4ort.xyz/entity/csteller-forecasting-scientific-collaboration-sustainability-based-on-extreme-gradient-boosting (retrieved 2026-05-24)

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