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Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches

Research article (Universal Access in the Information Society, 2024) · cited 19× · AI/ML
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Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches

Summary

Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches is a scholarly article[1].

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  • Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches's instance of is recorded as scholarly article[2].

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Andreas Holzinger

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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). Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/class-imbalance-in-multi-resident-activity-recognition-an-evaluative-study-on-explainability-of-deep-learning-approaches
MLA “Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/class-imbalance-in-multi-resident-activity-recognition-an-evaluative-study-on-explainability-of-deep-learning-approaches.
BibTeX @misc{4ortxyz_class-imbalance-in-multi-resident-activity-recognition-an-evaluative-study-on-explainability-of-deep-learning-approaches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches}}, year = {2026}, url = {https://4ort.xyz/entity/class-imbalance-in-multi-resident-activity-recognition-an-evaluative-study-on-explainability-of-deep-learning-approaches}, note = {Accessed: 2026-05-24}}
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