Giuseppe Jurman

Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Venues

BioData mining

Scientific reports

PloS one

PLoS computational biology

Fondazione Bruno Kessler

Universita degli Studi di Trento Facoltà di Scienze Matematiche Fisiche e Naturali (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Fondazione Bruno Kessler Jan 1o 2006

Italy

Senior Researcher :: MPBA

Education History

Universita degli Studi di Trento Facoltà di Scienze Matematiche Fisiche e Naturali Nov 1o 1993 - Nov 2o 1998

Italy

PHD :: Mathematics

Publications

Davide Chicco, Giuseppe Jurman
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData mining 16 (1) (2023)
Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData mining 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData mining 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData mining 16 (1) (2023)
Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData mining 16 (1) (2023)
Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData mining 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData mining 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
Ten simple rules for providing bioinformatics support within a hospital. BioData mining 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
Ten simple rules for providing bioinformatics support within a hospital. BioData mining 16 (1) (2023)
Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. BioData mining 15 (1) (2022)
Nicole Bussola, Bruno Papa, Ombretta Melaiu, Aurora Castellano, Doriana Fruci, Giuseppe Jurman
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology. International journal of molecular sciences 22 (16) (2021)
Davide Chicco, Matthijs J Warrens, Giuseppe Jurman
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ. Computer science 7 (2021)
Davide Chicco, Giuseppe Jurman
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC medical informatics and decision making 20 (1) (2020)
Gabriele Franch, Valerio Maggio, Luca Coviello, Marta Pendesini, Giuseppe Jurman, Cesare Furlanello
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting. Scientific data 7 (1) (2020)
Davide Chicco, Giuseppe Jurman
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC genomics 21 (1) (2020)
Ombretta Melaiu, Marco Chierici, Valeria Lucarini, Giuseppe Jurman, Libenzio Adrian Conti, Rita De Vito, Renata Boldrini, Loredana Cifaldi, Aurora Castellano, Cesare Furlanello, Vincenzo Barnaba, Franco Locatelli, Doriana Fruci
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma. Nature communications 11 (1) (2020)
Davide Chicco, Giuseppe Jurman
Survival prediction of patients with sepsis from age, sex, and septic episode number alone. Scientific reports 10 (1) (2020)
Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS computational biology 15 (3) (2019)
Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma. PloS one 13 (12) (2018)

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Publication Activity (10 Years)

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Giuseppe Jurman