Giuseppe Jurman

Head of Unit Predictive Models for Biomedicine and Environment (MPBA)

Giuseppe Jurman is a mathematician, with a PhD in Algebra, working at MPBA on various aspects of computational biology. His main research interests are statistical machine learning, mathematical modeling for high-throughtput data and network analysis. He is also an expert in scientific programming with Python and other computing languages.

Contacts

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Publications

Chicco, Davide; Jurman, Giuseppe; The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation; in «BMC GENOMICS»; Vol. 21>; 2020; pp.
Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare; Predictability of drug-induced liver injury by machine learning; in «BIOLOGY DIRECT»; Vol. 15>; 2020; pp.
Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events; in «ATMOSPHERE»; Vol. 11>; 2020; pp.
Chicco, Davide; Jurman, Giuseppe; Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone; in «BMC MEDICAL INFORMATICS AND DECISION MAKING»; Vol. 20>; 2020; pp.
Boldrini, Renata; De Pasquale Maria, Debora; Melaiu, Ombretta; Chierici, Marco; Jurman, Giuseppe; De Benedetti Maria, Chiara; Salfi Nunzio, C; Castellano, Aurora; Collini, Paola; Furlanello, Cesare; Pistoia, Vito; Cifaldi, Loredana; Terenziani, Monica; Fruci, Doriana; Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors; in «ONCOIMMUNOLOGY»; Vol. 8>; 2019; pp.
Furlanello, Cesare; Jurman, Giuseppe; Dolci, Claudia; Villani, Rachele; Gadotti, Erik; Venuti, Paola; IV Talent Education 2019; Talents and technology: training the artificial intelligence generation; in «Talent Education 2019»; Ljubljana; MIB; 2019; pp. 31-35
Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Sequences 2010-2019; 2019; pp.
Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Scans 2017-2019; 2019; pp.
Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta; TAASRAD19 Radar Scans 2010-2016; 2019; pp.
Jurman, Giuseppe; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Furlanello, Cesare; Stability in GRN inference; in «Gene Regulatory Networks: Methods and Protocols, Methods in Molecular Biology»; Vol. 786>; 2019; pp. 323-346