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Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress
Research article (Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2020) · cited 97× · AI/ML
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress
Summary
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress is a scholarly article[1].
Key Facts
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress. Retrieved May 24, 2026, from https://4ort.xyz/entity/extraction-and-interpretation-of-deep-autoencoder-based-temporal-features-from-wearables-for-forecasting-personalized-mo
MLA“Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extraction-and-interpretation-of-deep-autoencoder-based-temporal-features-from-wearables-for-forecasting-personalized-mo.
BibTeX@misc{4ortxyz_extraction-and-interpretation-of-deep-autoencoder-based-temporal-features-from-wearables-for-forecasting-personalized-mo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress}}, year = {2026}, url = {https://4ort.xyz/entity/extraction-and-interpretation-of-deep-autoencoder-based-temporal-features-from-wearables-for-forecasting-personalized-mo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress — https://4ort.xyz/entity/extraction-and-interpretation-of-deep-autoencoder-based-temporal-features-from-wearables-for-forecasting-personalized-mo (retrieved 2026-05-24)
