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  1. 1
    Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period

    Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period von Mano, Leandro Y., Torres, Alesson M., Morales, Andres Giraldo, Cruz, Carla Cristina P., Cardoso, Fabio H., Alves, Sarah Hannah, Faria, Cristiane O., Lanzillotti, Regina, Cerceau, Renato, da Costa, Rosa Maria E. M., Figueiredo, Karla, Werneck, Vera Maria B.


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  2. 2
    Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data

    Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data von Campos, Maria Luiza M, Silva, Eugênio, Cerceau, Renato, da Cruz, Sérgio Manuel Serra, Silva, Fabricio A B, Gouveia, Fábio C, Jardim, Rodrigo, Kotowski, Nelson, Lopes, Giseli Rabello, Dávila, Alberto M R

    Veröffentlicht in Frontiers in big data

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  3. 3
    Data Provenance in Agriculture

    Data Provenance in Agriculture von da Cruz, Sérgio Manuel Serra, Ceddia, Marcos Bacis, Tàvora Miranda, Renan Carvalho, Rizzo, Gabriel, Klinger, Filipe, Cerceau, Renato, Mesquita, Ricardo, Cerceau, Ricardo, Marinho, Elton Carneiro, Schmitz, Eber Assis, Sigette, Elaine, Cruz, Pedro Vieira


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  4. 4
    A computational approach for screening dyslexia

    A computational approach for screening dyslexia von Costa, Macario, Zavaleta, Jorge, Serra da Cruz, Sergio Manuel, Manhaes, Mary, Cerceau, Renato, Carvalho, Luis Alfredo, Mousinho, Renata


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