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time windows, embedding as input Our first approach, XGBSEDebiasedBCE, takes inspiration from the multi-task logistic regression method in [5], the BCE (binary cross-entropy) approach in [6], and the probability calibration ideas from [1], [2] and [3]. It consists of training a set of logistic