A Framework for Benchmarking Machine Learning Methods Using Linear Models for Univariate Time Series Prediction

Rebecca Salles teve o artigo intitulado “A Framework for Benchmarking Machine Learning Methods Using Linear Models for Univariate Time Series Prediction” aceito no International Joint Conference on Neural Networks (IJCNN). O trabalho está no escopo de sua dissertação de mestrado com o professor Eduardo Ogasawara. Colaboraram no artigo os professores Laura Assis, Gustavo Guedes, Eduardo Bezerra, Fabio Porto (LNCC).

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