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Titolo Anno di pubblicazione Autori Unitn File
Quotients of maximal class of thin Lie algebras. The case of characteristic two 1-gen-1999 Jurman G
Quotients of maximal class of thin {Lie} algebras: the odd characteristic case 1-gen-1999 Caranti, AndreaG. Jurman
Prediction of SRS From Genotype in Autism 1-gen-2010 G. GuzzettaG. EspositoG. JurmanP. VenutiC. Furlanello
Deep Learning for rain and lightning nowcasting 1-gen-2016 Gabriele FranchNardelli, AndreaCalogero ZarboGiuseppe JurmanCesare Furlanello +
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders 1-gen-2018 Mohammadian Rad, NastaranZarbo, CalogeroJurman, GiuseppeFurlanello, Cesare +
Phylogenetic convolutional neural networks in metagenomics 1-gen-2018 Agostinelli, ClaudioJurman, Giuseppe +
Integrating deep and radiomics features in cancer bioimaging 1-gen-2019 Bizzego A.Bussola N.Chierici M.Jurman G.Furlanello C. +
Machine learning models for predicting endocrine disruption potential of environmental chemicals 1-gen-2019 Chierici MarcoBussola NicoleJurman GiuseppeFurlanello Cesare +
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. +
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives 1-gen-2019 Franch, GabrieleJurman, GiuseppeFurlanello, Cesare +
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma 1-gen-2020 Marco ChiericiGiuseppe JurmanCesare Furlanello +
Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events 1-gen-2020 Franch, G.Jurman, G.Furlanello, C. +
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 1-gen-2020 Jurman, Giuseppe +
Predictability of drug-induced liver injury by machine learning 1-gen-2020 Chierici, MarcoBussola, NicoleJurman, GiuseppeFurlanello, Cesare +
CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19 1-gen-2020 Jurman, GiuseppeBertagnolli, GiuliaGhavasieh, ArshamDe Domenico, Manlio +
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting 1-gen-2020 Franch, GabrieleJurman, GiuseppeFurlanello, Cesare +
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling 1-gen-2020 Chierici, MarcoBussola, NicoleAgostinelli, ClaudioJurman, Giuseppe +
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 +
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 1-gen-2021 Giuseppe Jurman +
Mostrati risultati da 1 a 20 di 25
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