MaLGa logoMaLGa black extendedMaLGa white extendedUniGe ¦ MaLGaUniGe ¦ MaLGaUniversita di Genova | MaLGaUniversita di Genova

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Machine Learning for Data Science

  • Our main focus is to apply machine learning to real-world data, making sure to design stable, reproducible and interpretable applications with an impact in real-life scenarios.

    To this aim, we design and use machine learning methods that are based on:

    • regularization methods
    • deep learning
    • statistical modeling

  • The main goal is to analyze complex, temporal, and possibly structured data in order to:

    • identify predictive signatures
    • discover interpretable patterns
    • infer and analyze networks

People

  • Matteo Barbieri - Computational Biology

  • Federico Ciech

  • Samuele Fiorini - Machine Learning for data science

  • Margherita Squillario - Computational Biology

  • Federico Tomasi - Network Inference

  • Luca Baldassarre - Machine Learning

  • Gabriele Chiusano - Machine Learning

  • Elisabetta Delponte - Computer Vision

  • Salvatore Masecchia - Machine Learning

  • Sofia Mosci - Machine Learning

  • Saverio Salzo - Machine Learning

  • Andrea Schiappacasse - Machine Learning

  • Grzegorz Zycinski - Machine Learning

  • Matteo Barbieri - Computational Biology

  • Vanessa D'Amario - Machine Learning

  • Samuele Fiorini - Machine Learning

  • Chiara Martini - Data analysis

  • Margherita Squillario - Computational biology

  • Federico Tomasi - Machine Learning

  • Veronica Tozzo - Machine Learning

  • Veronica Tozzo - Machine Learning

  • Simone Grossi - Data driven web redesign

  • Matteo Grasso - Applied Machine Learning

  • Davide Garbarino - Machine Learning

  • Simone Grossi - Data integration

  • Davide Riva - Applied Machine Learning

Grants

TitlePrincipal InvestigatorFundingStartEndAmount
Deconstruct and rebuild phenotypes: a multimodal approach toward personalized medicine in ALS (DECIPHER-ALS)Annalisa Barla - Head of unitMIUR ¦ PRIN2019202185k
Liguria 4P Health: Predictive, Personalised, Preventive, Participatory healthcareAlessandro Verri - Principal InvestigatorPOR-FESR Regione Liguria20182020160k
UniGe Web - Data driven web redesignAnnalisa Barla - co-Principal InvestigatorUniGe20172020550k
Advancing non-invasive procedures for the support of early diagnosis of partial epilepsiesAnnalisa Barla - Principal InvestigatorCompagnia di Sanpaolo20182020167k
FINSEC: tecnologie di machine learning per la finanzaAlessandro Verri - Principal InvestigatorGFT - GFT Technologies2018201940k

Publications

TitleYearAuthorVenueAttachment
Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network2019S. Fiorini F. Hajati A. Barla F. GirosiPloS one
Multi-parameters Model Selection for Network Inference2019V. Tozzo A. BarlaInternational Conference on Complex Networks and …
Data-driven continuous assessment of frailty in older people2018C. Martini A. Barla F. Odone A. Verri A. CellaFrontiers in Digital …
Latent variable time-varying network inference2018F. Tomasi V. Tozzo S. Salzo A. VerriProceedings of the 24th ACM …
A Visual Computing Approach for Estimating the Motility Index in the Frail Elder.2018C. Martini N. Noceti M. Chessa A. BarlaVISIGRAPP (5 …