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An efficient model-level fusion approach for continuous affect recognition from audiovisual signals

Research article (Neurocomputing, 2019) · cited 17× · AI/ML
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An efficient model-level fusion approach for continuous affect recognition from audiovisual signals

Summary

An efficient model-level fusion approach for continuous affect recognition from audiovisual signals is a scholarly article[1].

Key Facts

  • An efficient model-level fusion approach for continuous affect recognition from audiovisual signals'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). An efficient model-level fusion approach for continuous affect recognition from audiovisual signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-model-level-fusion-approach-for-continuous-affect-recognition-from-audiovisual-signals
MLA “An efficient model-level fusion approach for continuous affect recognition from audiovisual signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-model-level-fusion-approach-for-continuous-affect-recognition-from-audiovisual-signals.
BibTeX @misc{4ortxyz_an-efficient-model-level-fusion-approach-for-continuous-affect-recognition-from-audiovisual-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient model-level fusion approach for continuous affect recognition from audiovisual signals}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-model-level-fusion-approach-for-continuous-affect-recognition-from-audiovisual-signals}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient model-level fusion approach for continuous affect recognition from audiovisual signals — https://4ort.xyz/entity/an-efficient-model-level-fusion-approach-for-continuous-affect-recognition-from-audiovisual-signals (retrieved 2026-05-24)

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