Big data analytics using semi‐supervised learning methods von Frumosu, Flavia D., Kulahci, Murat

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Outliers detection using an iterative strategy for semi‐supervised learning von Frumosu, Flavia D., Kulahci, Murat

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Automated vision-based inspection of mould and part quality in soft tooling injection moulding using imaging and deep learning von Zhang, Yang, Shan, Shuo, Frumosu, Flavia D., Calaon, Matteo, Yang, Wenzhen, Liu, Yu, Hansen, Hans N.

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Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry von Frumosu, Flavia D, Lønfeldt, Nicole N, Mora-Jensen, A. -R. Cecilie, Das, Sneha, Lund, Nicklas Leander, Pagsberg, A. Katrine, Clemmensen, Line K. H

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Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan von Lønfeldt, Nicole N, Frumosu, Flavia D, Mora-Jensen, A. -R. Cecilie, Lund, Nicklas Leander, Das, Sneha, Pagsberg, A. Katrine, Clemmensen, Line K. H

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Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry von Frumosu, Flavia D, Lønfeldt, Nicole N, Mora-Jensen, A -R Cecilie, Das, Sneha, Nicklas Leander Lund, Pagsberg, A Katrine, Clemmensen, Line K H

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Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan von Lønfeldt, Nicole N, Frumosu, Flavia D, Mora-Jensen, A -R Cecilie, Nicklas Leander Lund, Das, Sneha, Pagsberg, A Katrine, Clemmensen, Line K H

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