Home ›
Entities
› academia
› An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification
Research article (ACM Transactions on Computing for Healthcare, 2020) · cited 67× · AI/ML
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification
Summary
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification is a scholarly article[1].
Key Facts
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-extensive-study-on-cross-dataset-bias-and-evaluation-metrics-interpretation-for-machine-learning-applied-to-gastroint
MLA“An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-extensive-study-on-cross-dataset-bias-and-evaluation-metrics-interpretation-for-machine-learning-applied-to-gastroint.
BibTeX@misc{4ortxyz_an-extensive-study-on-cross-dataset-bias-and-evaluation-metrics-interpretation-for-machine-learning-applied-to-gastroint_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-extensive-study-on-cross-dataset-bias-and-evaluation-metrics-interpretation-for-machine-learning-applied-to-gastroint}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification — https://4ort.xyz/entity/an-extensive-study-on-cross-dataset-bias-and-evaluation-metrics-interpretation-for-machine-learning-applied-to-gastroint (retrieved 2026-05-24)
