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A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua.

, , , , , и . Neural Comput. Appl., 32 (18): 14359-14373 (2020)

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Amaury Pourteau

Amaury Pourteau

Amaury Pourteau

Paul-Amaury Matt

Amaury Ernesto Fernández-Montalván

 

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Discriminant document embeddings with an extreme learning machine for classifying clinical narratives., , , и . Neurocomputing, (2018)Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection., , и . IWANN (2), том 1607 из Lecture Notes in Computer Science, стр. 596-605. Springer, (1999)Direct and Recursive Prediction of Time Series Using Mutual Information Selection., , , и . IWANN, том 3512 из Lecture Notes in Computer Science, стр. 1010-1017. Springer, (2005)LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data., , , , , , и . Neurocomputing, (2015)Evolving fuzzy Optimally Pruned Extreme Learning Machine: A comparative analysis., и . FUZZ-IEEE, стр. 1-8. IEEE, (2010)A SOM-based approach to estimating product properties from spectroscopic measurements., , , , , и . Neurocomputing, 73 (1-3): 71-79 (2009)A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning., , , и . CoRR, (2019)Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks., и . IJCNN, стр. 2948-2953. IEEE, (2007)RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement., , , , , и . CoRR, (2014)LS-SVM functional network for time series prediction., , и . ESANN, стр. 473-478. (2006)