Jurman, Giuseppe
Jurman, Giuseppe
Sociologia e ricerca sociale (29/10/12-)
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence
2022-01-01 Chicco, Davide; Jurman, Giuseppe
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma
2020-01-01 Melaiu, Ombretta; Chierici, Marco; Lucarini, Valeria; Jurman, Giuseppe; Conti, Libenzio; De Vito, Rita; Boldrini, Renata; Cifaldi, Loredana; Castellano, Aurora; Furlanello, Cesare; Barnaba, Vincenzo; Locatelli, Franco; Furci, Doriana
CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19
2020-01-01 Verstraete, Nina; Jurman, Giuseppe; Bertagnolli, Giulia; Ghavasieh, Arsham; Pancaldi, Vera; De Domenico, Manlio
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders
2018-01-01 Mohammadian Rad, Nastaran; Kia, Seyed Mostafa; Zarbo, Calogero; van Laarhoven, Twan; Jurman, Giuseppe; Venuti, Paola; Marchiori, Elena; Furlanello, Cesare
Deep Learning for rain and lightning nowcasting
2016-01-01 Franch, Gabriele; Nardelli, Andrea; Zarbo, Calogero; Valerio, Maggio; Jurman, Giuseppe; Furlanello, Cesare
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
2019-01-01 Bizzego, A.; Bussola, N.; Chierici, M.; Maggio, V.; Francescatto, M.; Cima, L.; Cristoforetti, M.; Jurman, G.; Furlanello, C.
Integrating deep and radiomics features in cancer bioimaging
2019-01-01 Bizzego, A.; Bussola, N.; Salvalai, D.; Chierici, M.; Maggio, V.; Jurman, G.; Furlanello, C.
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling
2020-01-01 Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescato, Margherita; Zandona, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
2020-01-01 Chicco, Davide; Jurman, Giuseppe
Machine learning models for predicting endocrine disruption potential of environmental chemicals
2019-01-01 Chierici, Marco; Giulini, Marco; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives
2019-01-01 Franch, Gabriele; Jurman, Giuseppe; Coviello, Luca; Pendesini, Marta; Furlanello, Cesare
Phylogenetic convolutional neural networks in metagenomics
2018-01-01 Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare
Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events
2020-01-01 Franch, G.; Nerini, D.; Pendesini, M.; Coviello, L.; Jurman, G.; Furlanello, C.
Predictability of drug-induced liver injury by machine learning
2020-01-01 Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare
Prediction of SRS From Genotype in Autism
2010-01-01 Guzzetta, G.; Esposito, G.; Jurman, G.; Venuti, P.; Furlanello, C.
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology
2021-01-01 Bussola, Nicole; Papa, Bruno; Melaiu, Ombretta; Castellano, Aurora; Fruci, Doriana; Jurman, Giuseppe
Quotients of maximal class of thin Lie algebras. The case of characteristic two
1999-01-01 Jurman, G
Quotients of maximal class of thin {Lie} algebras: the odd characteristic case
1999-01-01 Caranti, Andrea; Jurman, G.
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting
2020-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Pendesini, Marta; Jurman, Giuseppe; Furlanello, Cesare
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020-01-01 Chicco, Davide; Jurman, Giuseppe