TASCIOTTI, ARIANNA

	Nome completo
	
					TASCIOTTI, ARIANNA
				
	Afferenza
	
					Dipartimento di Matematica, Informatica e Geoscienze
				
	Profilo  
	
UnityFVG

Mostra records

Risultati 1 - 3 di 3 (tempo di esecuzione: 0.009 secondi).

BASCULE: Bayesian inference and clustering of mutational signatures leveraging biological priors

2024-09-20 Buscaroli, Elena; Sadr, Azad; Bergamin, Riccardo; Milite, Salvatore; Villegas Garcia, Edith Natalia; Tasciotti, Arianna; Ansuini, Alessio; Ramazzotti, Daniele; Calonaci, Nicola; Caravagna, Giulio

Deep Learning-Informed Bayesian Model-Based Analysis to Estimate Superspreading Events in Epidemic Outbreaks

2024-01-01 Tasciotti, Arianna; Urban, Federico; de Dea, Federica; Bortolussi, Luca; Caravagna, Giulio; D'Onofrio, Alberto

Superspreading dynamics in epidemics: a deep learning and Bayesian inference framework for detection and characterization

2025-01-15 Tasciotti, Arianna

Titolo	Data di pubblicazione	Autori
BASCULE: Bayesian inference and clustering of mutational signatures leveraging biological priors	20-set-2024	Buscaroli, ElenaSadr, AzadBergamin, RiccardoMilite, SalvatoreVillegas Garcia, Edith NataliaTasciotti, AriannaAnsuini, AlessioRamazzotti, DanieleCalonaci, NicolaCaravagna, Giulio + -
Deep Learning-Informed Bayesian Model-Based Analysis to Estimate Superspreading Events in Epidemic Outbreaks	1-gen-2024	Tasciotti, AriannaUrban, Federicode Dea, FedericaBortolussi, LucaCaravagna, GiulioD'Onofrio, Alberto
Superspreading dynamics in epidemics: a deep learning and Bayesian inference framework for detection and characterization	15-gen-2025	TASCIOTTI, ARIANNA

ArTS Archivio della ricerca di Trieste

TASCIOTTI, ARIANNA

BASCULE: Bayesian inference and clustering of mutational signatures leveraging biological priors

Deep Learning-Informed Bayesian Model-Based Analysis to Estimate Superspreading Events in Epidemic Outbreaks

Superspreading dynamics in epidemics: a deep learning and Bayesian inference framework for detection and characterization