Metric projection for dynamic multiplex networks

by Giuseppe Jurman
Published 2016-08-01

A null model for Pearson coexpression networks.

by Andrea Gobbi, Giuseppe Jurman
Published 2015-01-01

Survival prediction of patients with sepsis from age, sex, and septic episode number alone

by Davide Chicco, Giuseppe Jurman
Published 2020-10-01

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

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

A combinatorial model of malware diffusion via bluetooth connections.

by Stefano Merler, Giuseppe Jurman
Published 2013-01-01

An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis

by Davide Chicco, Giuseppe Jurman
Published 2021-01-01

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

RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.

by Marco Grimaldi, Roberto Visintainer, Giuseppe Jurman
Published 2011-01-01

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

A comparison of MCC and CEN error measures in multi-class prediction.

by Giuseppe Jurman, Samantha Riccadonna, Cesare Furlanello
Published 2012-01-01

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

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

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

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

GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs

by Luca Coviello, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
Published 2020-07-01

Algebraic comparison of partial lists in bioinformatics.

by Giuseppe Jurman, Samantha Riccadonna, Roberto Visintainer, Cesare Furlanello
Published 2012-01-01

Giovani e ricerca: il progetto WebValley

by Cesare Furlanello, Riccardo de Filippi, Claudia Dolci, Giuseppe Jurman
Published 2013-03-01

Predictability of drug-induced liver injury by machine learning

by Marco Chierici, Margherita Francescatto, Nicole Bussola, Giuseppe Jurman, Cesare Furlanello
Published 2020-02-01

Stability indicators in network reconstruction.

by Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello
Published 2014-01-01