Home ›
Entities
› academia
› Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems
Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems
Research article (Energy, 2022) · cited 13× · AI/ML
Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems
Summary
Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems is a scholarly article[1].
Key Facts
Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems'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). Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/endowing-data-driven-models-with-rejection-ability-out-of-distribution-detection-and-confidence-estimation-for-black-box
MLA“Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/endowing-data-driven-models-with-rejection-ability-out-of-distribution-detection-and-confidence-estimation-for-black-box.
BibTeX@misc{4ortxyz_endowing-data-driven-models-with-rejection-ability-out-of-distribution-detection-and-confidence-estimation-for-black-box_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems}}, year = {2026}, url = {https://4ort.xyz/entity/endowing-data-driven-models-with-rejection-ability-out-of-distribution-detection-and-confidence-estimation-for-black-box}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems — https://4ort.xyz/entity/endowing-data-driven-models-with-rejection-ability-out-of-distribution-detection-and-confidence-estimation-for-black-box (retrieved 2026-05-24)