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). Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM. Retrieved May 24, 2026, from https://4ort.xyz/entity/understanding-how-cnns-recognize-facial-expressions-a-case-study-with-lime-and-cem
MLA“Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/understanding-how-cnns-recognize-facial-expressions-a-case-study-with-lime-and-cem.
BibTeX@misc{4ortxyz_understanding-how-cnns-recognize-facial-expressions-a-case-study-with-lime-and-cem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-how-cnns-recognize-facial-expressions-a-case-study-with-lime-and-cem}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM — https://4ort.xyz/entity/understanding-how-cnns-recognize-facial-expressions-a-case-study-with-lime-and-cem (retrieved 2026-05-24)
