Search Results - "Baião, Fernanda A"

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  1. 1

    Deviance mining with treatment learning and declare-based encoding of event logs by Richetti, Pedro Henrique P., Jazbik, Lucas Seixas, Baião, Fernanda A., Campos, Maria Luiza M.

    Published in Expert systems with applications (01-01-2022)
    “…Business Process Deviance Mining is a research area that aims to characterize deviations of a business process from its expected outcomes. Techniques within…”
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    Journal Article
  2. 2

    App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning by Dantas, Leila F, Peres, Igor T, Bastos, Leonardo S L, Marchesi, Janaina F, de Souza, Guilherme F G, Gelli, João Gabriel M, Baião, Fernanda A, Maçaira, Paula, Hamacher, Silvio, Bozza, Fernando A

    Published in PloS one (25-03-2021)
    “…Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the…”
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    Journal Article
  3. 3

    What we talk about when we talk about COVID-19 vaccination campaign impact: a narrative review by Hastenreiter Filho, Horácio N, Peres, Igor T, Maddalena, Lucas G, Baião, Fernanda A, Ranzani, Otavio T, Hamacher, Silvio, Maçaira, Paula M, Bozza, Fernando A

    Published in Frontiers in public health (11-05-2023)
    “…The lack of precise definitions and terminological consensus about the impact studies of COVID-19 vaccination leads to confusing statements from the scientific…”
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    Journal Article
  4. 4

    Predicting drug sensitivity of cancer cells based on DNA methylation levels by Miranda, Sofia P, Baião, Fernanda A, Fleck, Julia L, Piccolo, Stephen R

    Published in PloS one (10-09-2021)
    “…Cancer cell lines, which are cell cultures derived from tumor samples, represent one of the least expensive and most studied preclinical models for drug…”
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    Journal Article
  5. 5

    Towards characterizing Knowledge Intensive Processes by Franca, J. B. S., Baiao, F. A., Santoro, F. M.

    “…Knowledge Intensive Processes (KIP) focus on the dynamic conversion of knowledge among the participants involved in the execution of a business process, and…”
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    Conference Proceeding