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Giuseppe Jurman

Showing results (1-10 of 84) with videos related to

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Big Data|March 20, 2019
Seasonal Linear Predictivity in National Football ChampionshipsGiuseppe Jurman
Heliyon|September 15, 2016
Metric projection for dynamic multiplex networksGiuseppe Jurman
Plos One|April 5, 2013
A combinatorial model of malware diffusion via bluetooth connectionsStefano Merler, Giuseppe Jurman
Frontiers in Big Data|October 14, 2022
The ABC recommendations for validation of supervised machine learning results in biomedical sciencesDavide Chicco, Giuseppe Jurman
BMC Genomics|January 4, 2020
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluationDavide Chicco, Giuseppe Jurman
Frontiers in Robotics and AI|April 11, 2022
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial IntelligenceDavide Chicco, Giuseppe Jurman
Neural Networks : the Official Journal of the International Neural Network Society|April 11, 2006
Terminated Ramp-Support vector machines: a nonparametric data dependent kernelStefano Merler, Giuseppe Jurman
Biodata Mining|February 21, 2023
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classificationDavide Chicco, Giuseppe Jurman
Scientific Reports|October 14, 2020
Survival prediction of patients with sepsis from age, sex, and septic episode number aloneDavide Chicco, Giuseppe Jurman
Frontiers in Bioinformatics|November 17, 2022
A brief survey of tools for genomic regions enrichment analysisDavide Chicco, Giuseppe Jurman
Pageof 9

Showing results (1-10 of 84) with videos related to

Sort By:
Pageof 9
Big Data|March 20, 2019
Seasonal Linear Predictivity in National Football ChampionshipsGiuseppe Jurman
Heliyon|September 15, 2016
Metric projection for dynamic multiplex networksGiuseppe Jurman
Plos One|April 5, 2013
A combinatorial model of malware diffusion via bluetooth connectionsStefano Merler, Giuseppe Jurman
Frontiers in Big Data|October 14, 2022
The ABC recommendations for validation of supervised machine learning results in biomedical sciencesDavide Chicco, Giuseppe Jurman
BMC Genomics|January 4, 2020
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluationDavide Chicco, Giuseppe Jurman
Frontiers in Robotics and AI|April 11, 2022
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial IntelligenceDavide Chicco, Giuseppe Jurman
Neural Networks : the Official Journal of the International Neural Network Society|April 11, 2006
Terminated Ramp-Support vector machines: a nonparametric data dependent kernelStefano Merler, Giuseppe Jurman
Biodata Mining|February 21, 2023
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classificationDavide Chicco, Giuseppe Jurman
Scientific Reports|October 14, 2020
Survival prediction of patients with sepsis from age, sex, and septic episode number aloneDavide Chicco, Giuseppe Jurman
Frontiers in Bioinformatics|November 17, 2022
A brief survey of tools for genomic regions enrichment analysisDavide Chicco, Giuseppe Jurman
Pageof 9