Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Fabio Stella

Showing results (11-20 of 20) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 20 results.
Journal of Personality|January 13, 2024
Surfing the OCEAN: The machine learning psycholexical approach 2.0 to detect personality traits in textsFederico Giannini, Marco Marelli, Fabio Stella, et al.
Frontiers in Systems Biology|September 10, 2025
A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery toolsFrancesco Canonaco, Joverlyn Gaudillo, Nicole Astrologo, et al.
Scientific Reports|March 16, 2016
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humansEnzo Acerbi, Elena Viganò, Michael Poidinger, et al.
BMC Immunology|August 31, 2011
Classification of dendritic cell phenotypes from gene expression dataGiacomo Tuana, Viola Volpato, Paola Ricciardi-Castagnoli, et al.
Artificial Intelligence in Medicine|January 27, 2019
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularityManxia Liu, Fabio Stella, Arjen Hommersom, et al.
Journal of Fungi (Basel, Switzerland)|July 18, 2020
Modeling Approaches Reveal New Regulatory Networks in <i>Aspergillus fumigatus</i> MetabolismEnzo Acerbi, Marcela Hortova-Kohoutkova, Tsokyi Choera, et al.
Scientific Reports|May 15, 2023
Edge and modular significance assessment in individual-specific networksFederico Melograna, Zuqi Li, Gianluca Galazzo, et al.
Journal of Medical Systems|January 16, 2026
A Causal Discovery Workflow for Rare Diseases: Experts-in-the-Loop Analysis of Sparse Longitudinal DataNiccolò Rocchi, Alessio Zanga, Alice Bernasconi, et al.
Briefings in Bioinformatics|January 19, 2026
Turning heterogeneity of statistical epistasis networks to an advantageDiane Duroux, Federico Melograna, Héctor Climente-González, et al.
Cancers|November 9, 2024
From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast CancerAlice Bernasconi, Alessio Zanga, Peter J F Lucas, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Journal of Personality|January 13, 2024
Surfing the OCEAN: The machine learning psycholexical approach 2.0 to detect personality traits in textsFederico Giannini, Marco Marelli, Fabio Stella, et al.
Frontiers in Systems Biology|September 10, 2025
A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery toolsFrancesco Canonaco, Joverlyn Gaudillo, Nicole Astrologo, et al.
Scientific Reports|March 16, 2016
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humansEnzo Acerbi, Elena Viganò, Michael Poidinger, et al.
BMC Immunology|August 31, 2011
Classification of dendritic cell phenotypes from gene expression dataGiacomo Tuana, Viola Volpato, Paola Ricciardi-Castagnoli, et al.
Artificial Intelligence in Medicine|January 27, 2019
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularityManxia Liu, Fabio Stella, Arjen Hommersom, et al.
Journal of Fungi (Basel, Switzerland)|July 18, 2020
Modeling Approaches Reveal New Regulatory Networks in <i>Aspergillus fumigatus</i> MetabolismEnzo Acerbi, Marcela Hortova-Kohoutkova, Tsokyi Choera, et al.
Scientific Reports|May 15, 2023
Edge and modular significance assessment in individual-specific networksFederico Melograna, Zuqi Li, Gianluca Galazzo, et al.
Journal of Medical Systems|January 16, 2026
A Causal Discovery Workflow for Rare Diseases: Experts-in-the-Loop Analysis of Sparse Longitudinal DataNiccolò Rocchi, Alessio Zanga, Alice Bernasconi, et al.
Briefings in Bioinformatics|January 19, 2026
Turning heterogeneity of statistical epistasis networks to an advantageDiane Duroux, Federico Melograna, Héctor Climente-González, et al.
Cancers|November 9, 2024
From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast CancerAlice Bernasconi, Alessio Zanga, Peter J F Lucas, et al.
Pageof 2