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Paola Stolfi
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 11
Top Topics
Machine Learning Methods
Synthetic Data
Chronic Disease
High Risk
Top Venues
BIBM
BMC Bioinform.
Bioinform.
CoRR
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Publications
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Paola Stolfi
,
Davide Vergni
,
Filippo Castiglione
An agent-based multi-level model to study the spread of gonorrhea in different and interacting risk groups.
Frontiers Appl. Math. Stat.
9 (2023)
Paola Stolfi
,
Andrea Mastropietro
,
Giuseppe Pasculli
,
Paolo Tieri
,
Davide Vergni
NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification.
Bioinform.
39 (2) (2023)
Pratuat Amatya
,
Paola Stolfi
,
Flavio Lombardi
,
Paolo Tieri
DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing.
BIBM
(2022)
Paola Stolfi
,
Davide Vergni
,
Rik Oldenkamp
,
Constance Schultsz
,
Emiliano Mancini
,
Filippo Castiglione
An agent-based multi-level model to study the spread of antimicrobial-resistant gonorrhoea.
BIBM
(2022)
Enrico Mastrostefano
,
Paola Stolfi
,
Filippo Castiglione
A data-driven model for the generation of Virtual Cohorts.
BIBM
(2021)
Paola Stolfi
,
Filippo Castiglione
Emulating complex simulations by machine learning methods.
BMC Bioinform.
(14) (2021)
Paola Stolfi
,
Filippo Castiglione
A functional data analysis approach to assess the prognostic value of SARS-CoV-2 infections surrogate data.
BIBM
(2021)
Paola Stolfi
,
Andrea Mastropietro
,
Giuseppe Pasculli
,
Paolo Tieri
,
Davide Vergni
Adaptive Positive-Unlabelled Learning via Markov Diffusion.
CoRR
(2021)
Paola Stolfi
,
Filippo Castiglione
Emulation of dynamic multi-output simulator of risk of type-2 diabetes.
BIBM
(2020)
Paola Stolfi
,
Ilaria Valentini
,
Maria Concetta Palumbo
,
Paolo Tieri
,
Andrea Grignolio
,
Filippo Castiglione
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.
BMC Bioinform.
(17) (2020)
Paola Stolfi
,
Ilaria Valentini
,
Maria Concetta Palumbo
,
Paolo Tieri
,
Andrea Grignolio
,
Filippo Castiglione
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.
BIBM
(2019)