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Deep and Confident Prediction for Time Series at Uber

Research article (2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017) · cited 350× · AI/ML
academia openalex:W2751802138
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Deep and Confident Prediction for Time Series at Uber

Summary

Deep and Confident Prediction for Time Series at Uber is a scholarly article[1].

Key Facts

  • Deep and Confident Prediction for Time Series at Uber'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). Deep and Confident Prediction for Time Series at Uber. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-and-confident-prediction-for-time-series-at-uber
MLA “Deep and Confident Prediction for Time Series at Uber.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-and-confident-prediction-for-time-series-at-uber.
BibTeX @misc{4ortxyz_deep-and-confident-prediction-for-time-series-at-uber_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep and Confident Prediction for Time Series at Uber}}, year = {2026}, url = {https://4ort.xyz/entity/deep-and-confident-prediction-for-time-series-at-uber}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep and Confident Prediction for Time Series at Uber — https://4ort.xyz/entity/deep-and-confident-prediction-for-time-series-at-uber (retrieved 2026-05-24)

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