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  • title: Anticipating Faults by Predicting Non-Linearity of Environment Variables with Neural Networks: A Case Study in Semiconductor Manufacturing
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            Anticipating Faults by Predicting Non-Linearity of Environment Variables with Neural Networks: A Case Study in Semiconductor Manufacturing
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            Anticipating Faults by Predicting Non-Linearity of Environment Variables with Neural Networks: A Case Study in Semiconductor Manufacturing

            Jul 23, 2021

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            Mateus Melchiades

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            LVS

            Lincoln Vinicius Schreiber

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            GdOR

            Gabriel de Oliveira Ramos

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            ICML 2021

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            About ICML 2021

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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