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Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment

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  1. Chapter and Conference Paper

    Sentiment Analysis for Fake News Detection by Means of Neural Networks

    The problem of fake news has become one of the most challenging issues having an impact on societies. Nowadays, false information may spread quickly through social media. In that regard, fake news needs to be...

    Sebastian Kula, Michał Choraś, Rafał Kozik in Computational Science – ICCS 2020 (2020)

  2. Chapter and Conference Paper

    Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification

    Learning from imbalanced datasets is a challenging task for standard classification algorithms. In general, there are two main approaches to solve the problem of imbalanced data: algorithm-level and data-level...

    Paweł Ksieniewicz, Robert Burduk in Computational Science – ICCS 2020 (2020)

  3. Chapter and Conference Paper

    Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks

    The following paper considers pattern recognition-aided optimization of complex and relevant problem related to optical networks. For that problem, we propose a four-step dedicated optimization approach that ...

    Paweł Ksieniewicz, Róża Goścień, Mirosław Klinkowski in Computational Science – ICCS 2020 (2020)

  4. Chapter and Conference Paper

    Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study

    For the contemporary enterprises, possibility of appropriate business decision making on the basis of the knowledge hidden in stored data is the critical success factor. Therefore, the decision support softwar...

    Michał Woźniak, Paweł Ksieniewicz in Computer Information Systems and Industria… (2016)