Showing 1 - 20 results of 38 for search 'Giuseppe Jurman', query time: 0.07s Refine Results
  1. 1
    Metric projection for dynamic multiplex networks

    Metric projection for dynamic multiplex networks by Giuseppe Jurman

    Published 2016-08-01
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  2. 2
    A brief survey of tools for genomic regions enrichment analysis

    A brief survey of tools for genomic regions enrichment analysis by Davide Chicco, Giuseppe Jurman

    Published 2022-10-01
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  3. 3
    A combinatorial model of malware diffusion via bluetooth connections.

    A combinatorial model of malware diffusion via bluetooth connections. by Stefano Merler, Giuseppe Jurman

    Published 2013-01-01
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  4. 4
    The ABC recommendations for validation of supervised machine learning results in biomedical sciences

    The ABC recommendations for validation of supervised machine learning results in biomedical sciences by Davide Chicco, Giuseppe Jurman

    Published 2022-09-01
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  5. 5
    Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease

    Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease by Davide Chicco, Giuseppe Jurman

    Published 2021-01-01
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  6. 6
    An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence

    An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence by Davide Chicco, Giuseppe Jurman

    Published 2022-03-01
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  7. 7
    Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

    Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone by Davide Chicco, Giuseppe Jurman

    Published 2020-02-01
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  8. 8
    The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

    The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification by Davide Chicco, Giuseppe Jurman

    Published 2023-02-01
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  9. 9
    The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

    The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation by Davide Chicco, Giuseppe Jurman

    Published 2020-01-01
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  10. 10
    A null model for Pearson coexpression networks.

    A null model for Pearson coexpression networks. by Andrea Gobbi, Giuseppe Jurman

    Published 2015-01-01
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  11. 11
    Ten simple rules for providing bioinformatics support within a hospital

    Ten simple rules for providing bioinformatics support within a hospital by Davide Chicco, Giuseppe Jurman

    Published 2023-02-01
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  12. 12
    The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment

    The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment by Davide Chicco, Valery Starovoitov, Giuseppe Jurman

    Published 2021-01-01
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  13. 13
    RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.

    RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks. by Marco Grimaldi, Roberto Visintainer, Giuseppe Jurman

    Published 2011-01-01
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  14. 14
    Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma

    Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma by Davide Chicco, Tiziana Sanavia, Giuseppe Jurman

    Published 2023-03-01
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  15. 15
    The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

    The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation by Davide Chicco, Niklas Tötsch, Giuseppe Jurman

    Published 2021-02-01
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  16. 16
    A comparison of MCC and CEN error measures in multi-class prediction.

    A comparison of MCC and CEN error measures in multi-class prediction. by Giuseppe Jurman, Samantha Riccadonna, Cesare Furlanello

    Published 2012-01-01
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  17. 17
    The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

    The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation by Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman

    Published 2021-07-01
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  18. 18
    The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment

    The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment by Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman

    Published 2021-01-01
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  19. 19
    Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

    Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning by Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman

    Published 2022-11-01
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  20. 20
    Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

    Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma. by Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello

    Published 2018-01-01
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