Jurman, Giuseppe

Jurman, Giuseppe  

Sociologia e ricerca sociale (29/10/12-)  

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Risultati 1 - 17 di 17 (tempo di esecuzione: 0.018 secondi).
Titolo Anno di pubblicazione Autori Unitn File
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 1-gen-2020 Jurman, Giuseppe +
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 1-gen-2021 Giuseppe Jurman +
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders 1-gen-2018 Mohammadian Rad, NastaranZarbo, CalogeroJurman, GiuseppeFurlanello, Cesare +
Deep Learning for rain and lightning nowcasting 1-gen-2016 Gabriele FranchNardelli, AndreaCalogero ZarboGiuseppe JurmanCesare Furlanello +
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER 1-gen-2019 Bizzego A.Bussola N.Chierici M.Cristoforetti M.Jurman G.Furlanello C. +
Integrating deep and radiomics features in cancer bioimaging 1-gen-2019 Bizzego A.Bussola N.Chierici M.Jurman G.Furlanello C. +
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling 1-gen-2020 Chierici, MarcoBussola, NicoleAgostinelli, ClaudioJurman, Giuseppe +
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 1-gen-2022 Jurman G. +
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 1-gen-2020 Jurman, Giuseppe +
Machine learning models for predicting endocrine disruption potential of environmental chemicals 1-gen-2019 Chierici MarcoBussola NicoleJurman GiuseppeFurlanello Cesare +
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 1-gen-2021 Giuseppe Jurman +
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 1-gen-2021 Jurman, Giuseppe +
Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events 1-gen-2020 Franch, G.Jurman, G.Furlanello, C. +
Predictability of drug-induced liver injury by machine learning 1-gen-2020 Chierici, MarcoBussola, NicoleJurman, GiuseppeFurlanello, Cesare +
Prediction of SRS From Genotype in Autism 1-gen-2010 G. GuzzettaG. EspositoG. JurmanP. VenutiC. Furlanello
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology 1-gen-2021 Nicole BussolaGiuseppe Jurman +
Quotients of maximal class of thin Lie algebras. The case of characteristic two 1-gen-1999 Jurman G