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H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty

Research article (Transportation Research Part C Emerging Technologies, 2022) · cited 34× · AI/ML
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H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty

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H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty. Retrieved May 24, 2026, from https://4ort.xyz/entity/h-convlstm-based-bagging-learning-approach-for-ride-hailing-demand-prediction-considering-imbalance-problems-and-sparse-
MLA “H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/h-convlstm-based-bagging-learning-approach-for-ride-hailing-demand-prediction-considering-imbalance-problems-and-sparse-.
BibTeX @misc{4ortxyz_h-convlstm-based-bagging-learning-approach-for-ride-hailing-demand-prediction-considering-imbalance-problems-and-sparse-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty}}, year = {2026}, url = {https://4ort.xyz/entity/h-convlstm-based-bagging-learning-approach-for-ride-hailing-demand-prediction-considering-imbalance-problems-and-sparse-}, note = {Accessed: 2026-05-24}}
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