Jurman, Giuseppe

Jurman, Giuseppe  

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

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Risultati 1 - 20 di 25 (tempo di esecuzione: 0.022 secondi).
Titolo Anno di pubblicazione Autori Unitn File
A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe 1-gen-2023 Coviello, LucaGobbi, AndreaJurman, GiuseppeFurlanello, CesareBrunato, Mauro +
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 1-gen-2022 Jurman, Giuseppe +
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study 1-gen-2024 Giometto, BrunoLongo, ChiaraRiello, MariannaDi Giacopo, RaffaellaChierici, MarcoMoroni, MonicaJurman, GiuseppeBincoletto, GiorgiaCampi, CristinaPiana, MicheleOsmani, Venet +
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 +
CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19 1-gen-2020 Jurman, GiuseppeBertagnolli, GiuliaGhavasieh, ArshamDe Domenico, Manlio +
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 +
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 +
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives 1-gen-2019 Franch, GabrieleJurman, GiuseppeFurlanello, Cesare +
Phylogenetic convolutional neural networks in metagenomics 1-gen-2018 Agostinelli, ClaudioJurman, 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
Quotients of maximal class of thin {Lie} algebras: the odd characteristic case 1-gen-1999 Caranti, AndreaG. Jurman