Jurman, Giuseppe

Jurman, Giuseppe  

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Risultati 1 - 20 di 33 (tempo di esecuzione: 0.056 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 +
A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency 1-gen-2021 Chierici, MarcoFurlanello, CesareJurman, Giuseppe +
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 1-gen-2021 Jurman, Giuseppe +
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 1-gen-2022 Jurman, Giuseppe +
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease 1-gen-2021 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, ChiaraJurman, GiuseppeBincoletto, Giorgia +
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma 1-gen-2020 Chierici, MarcoJurman, 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 +
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 +
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network 1-gen-2021 Marco ChiericiCesare FurlanelloGiuseppe Jurman +
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER 1-gen-2019 Bizzego, AndreaBussola, NicoleChierici, MarcoCristoforetti, MarcoJurman, GiuseppeFurlanello, Cesare +
GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs 1-gen-2020 Coviello, LucaCristoforetti, MarcoJurman, GiuseppeFurlanello, Cesare
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 +
Multilayer flows in molecular networks identify biological modules in the human proteome 1-gen-2020 Jurman, GiuseppeDe Domenico, Manlio +
Phylogenetic convolutional neural networks in metagenomics 1-gen-2018 Agostinelli, ClaudioJurman, Giuseppe +