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Deep joint mean and quantile regression for spatio-temporal problems

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DeepJMQR: Deep joint mean and quantile regression for spatio-temporal problems

Deep joint mean and quantile regression for spatio-temporal problems, as proposed in the paper:

Rodrigues, F. and Pereira, F.C., 2018. Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. [PDF].

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