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    Transparency and reproducibility in artificial intelligence

    Transparency and reproducibility in artificial intelligence by Haibe-Kains, Benjamin, Adam, George Alexandru, Hosny, Ahmed, Khodakarami, Farnoosh, Waldron, Levi, Wang, Bo, McIntosh, Chris, Goldenberg, Anna, Kundaje, Anshul, Greene, Casey S., Broderick, Tamara, Hoffman, Michael M., Leek, Jeffrey T., Korthauer, Keegan, Huber, Wolfgang, Brazma, Alvis, Pineau, Joelle, Tibshirani, Robert, Hastie, Trevor, Ioannidis, John P. A., Quackenbush, John, Aerts, Hugo J. W. L.

    Published in Nature (London)
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  2. 2
    Orchestrating and sharing large multimodal data for transparent and reproducible research

    Orchestrating and sharing large multimodal data for transparent and reproducible research by Mammoliti, Anthony, Smirnov, Petr, Nakano, Minoru, Safikhani, Zhaleh, Eeles, Christopher, Seo, Heewon, Nair, Sisira Kadambat, Mer, Arvind S., Smith, Ian, Ho, Chantal, Beri, Gangesh, Kusko, Rebecca, Lin, Eva, Yu, Yihong, Martin, Scott, Hafner, Marc, Haibe-Kains, Benjamin

    Published in Nature communications
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    The importance of transparency and reproducibility in artificial intelligence research

    The importance of transparency and reproducibility in artificial intelligence research by Haibe-Kains, Benjamin, Adam, George Alexandru, Hosny, Ahmed, Khodakarami, Farnoosh, Board, MAQC Society, Waldron, Levi, Wang, Bo, McIntosh, Chris, Kundaje, Anshul, Greene, Casey S, Hoffman, Michael M, Leek, Jeffrey T, Huber, Wolfgang, Alvis Brazma, Pineau, Joelle, Tibshirani, Robert, Hastie, Trevor, Ioannidis, John P A, Quackenbush, John, Hugo J W L Aerts

    Published in arXiv.org
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