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UM SISTEMA ESTATÍSTICO PARA APOIO AO ACOMPANHAMENTO DE DESEMPENHO ACADÊMICO [chapter]

Guilherme Álvaro Rodrigues Maia Esmeraldo, Francisco Wilcley Lacerda de Lima, Rennan Rodrigues Isídio Teles, Francisca Alves de Souza, Cícero Carlos Felix de Oliveira
<span title="2020-09-04">2020</span> <i title="Atena Editora"> Tecnologias, Métodos e Teorias na Engenharia de Computação </i> &nbsp;
ACKNOWLEDGMENTS This work was supported by ANEELs research & development program (Project ID PD-0063-3039/2018) in partnership with CPFL ENERGIA group companies.  ...  Smart grid energy fraud detection using artifi-cial neural networks. In 2014 IEEE Symposium on Computational Intelligence Appli-cations in Smart Grid (CIASG), pages 1-6. IEEE. Lawi, A., Wungo, S.  ...  Convolutional Neural Network Algorithm with Parameterized Activation Function for Melanoma Classification.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22533/at.ed.61320040915">doi:10.22533/at.ed.61320040915</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4wtkba7w2jcqtbxbirsbajzix4">fatcat:4wtkba7w2jcqtbxbirsbajzix4</a> </span>
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Lisbon, Portugal eTELEMED 2015 Editors eTELEMED 2015 COMMITTEE eTELEMED Advisory Committee eTELEMED 2015 Special Area Chairs Sociology

Marike Hettinga, Kari Dyb, Anne Granstrøm, Amir Hajjam-El-Hassani, Lisette Van Gemert-Pijnen, Amir Hajjam-El-Hassani, Marike Hettinga, Anne Granstrøm, Kari Dyb, Flora Amato, Adina Astilean, Bruno Azevedo (+73 others)
<span title="">2015</span> <span class="release-stage">unpublished</span>
The topics covered aspects from classical medicine and eHealth integration, systems and communication, devices, and applications.  ...  advances in techniques, services, and applications dedicated to a global approach of eHealth.  ...  ACKNOWLEDGMENT This work was made possible thanks to the PL-Grid Plus and PL-Grid NG projects. This research was supported in part by the PL-Grid Infrastructure.  ... 
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Intelligent assistance for expert-driven subpopulation discovery in high-dimensional timestamped medical data [article]

Uli Niemann, Universitäts- Und Landesbibliothek Sachsen-Anhalt, Martin-Luther Universität, Myra Spiliopoulou, Bernhard Preim
<span title="2021-07-26">2021</span>
In dieser Arbeit werden auf maschinellem Lernen basierende Lösungen für die expertengesteuerte Entdeckung von Subpopulationen in hochdimensionalen, zeitgestempelten medizinischen Daten vorgeschlagen.  ...  This thesis proposes machine learning-based solutions for expert-driven subpopulation discovery in high-dimensional timestamped medical data.  ...  Examples of model internals are the coefficients of a linear model or weight vectors of a neural network.  ... 
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