Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams

Research article (CrystEngComm, 2020) · cited 13× · AI/ML
Press Enter · cited answer in seconds

Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams

Summary

Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams is a scholarly article[1].

Key Facts

  • Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams. Retrieved May 24, 2026, from https://4ort.xyz/entity/increasing-the-performance-trustworthiness-and-practical-value-of-machine-learning-models-a-case-study-predicting-hydrog
MLA “Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/increasing-the-performance-trustworthiness-and-practical-value-of-machine-learning-models-a-case-study-predicting-hydrog.
BibTeX @misc{4ortxyz_increasing-the-performance-trustworthiness-and-practical-value-of-machine-learning-models-a-case-study-predicting-hydrog_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams}}, year = {2026}, url = {https://4ort.xyz/entity/increasing-the-performance-trustworthiness-and-practical-value-of-machine-learning-models-a-case-study-predicting-hydrog}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Increasing the performance, trustworthiness and practical value of machine learning models: a case study predicting hydrogen bond network dimensionalities from molecular diagrams — https://4ort.xyz/entity/increasing-the-performance-trustworthiness-and-practical-value-of-machine-learning-models-a-case-study-predicting-hydrog (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/increasing-the-performance-trustworthiness-and-practical-value-of-machine-learning-models-a-case-study-predicting-hydrog · Last refreshed: