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Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine., , , , , , and . Comput. Intell., 28 (2): 261-288 (2012)Metric-based model selection for time-series forecasting., and . NNSP, page 13-22. IEEE, (2002)CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance., , , , , and . CoRR, (2018)Learning to Learn with Conditional Class Dependencies., , , , , and . ICLR (Poster), OpenReview.net, (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting., , , and . CoRR, (2019)CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance., , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 639-646. Springer, (2017)Effective Bayesian Modeling of Groups of Related Count Time Series.. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1395-1403. JMLR.org, (2014)Extensions to Metric-Based Model Selection., and . J. Mach. Learn. Res., (2003)Cost functions and model combination for VaR-based asset allocation using neural networks., and . IEEE Trans. Neural Networks, 12 (4): 890-906 (2001)A high-order feature synthesis and selection algorithm applied to insurance risk modelling., , , , and . Int. J. Bus. Intell. Data Min., 6 (3): 237-258 (2011)