A Semantic Approach for the Homogeneous Identification of Events in Eight Patient Databases: A Contribution to the European eu-ADR Project. - Paul Avillach; Fleur Mougin; Michel Joubert; Frantz Thiessard; Antoine Pariente; Jean-Charles Dufour; Gianluca Trifirò; Giovanni Polimeni; Maria Antonietta Catania; Carlo Giaquinto; Giampiero Mazzaglia; Gianluca Baio; et al. (MIE, 2009)

Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 2019)

Correction to: Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 2019)

Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review. - Alberto Caron; Ioanna Manolopoulou; Gianluca Baio (CoRR, 2020)

survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling. - Gianluca Baio (J. Stat. Softw., 2020)

Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. - Alberto Caron; Gianluca Baio; Ioanna Manolopoulou (CoRR, 2021)

Interpretable Deep Causal Learning for Moderation Effects. - Alberto Caron; Gianluca Baio; Ioanna Manolopoulou (CoRR, 2022)

BCEA: An R Package for Cost-Effectiveness Analysis. - Nathan Green; Anna Heath; Gianluca Baio (J. Open Source Softw., 2022)

Counterfactual Learning with Multioutput Deep Kernels. - Alberto Caron; Ioanna Manolopoulou; Gianluca Baio (Trans. Mach. Learn. Res., 2022)

Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. - Alberto Caron; Gianluca Baio; Ioanna Manolopoulou (J. Comput. Graph. Stat., 2022)

A Workflow for Estimating and Visualising Excess Mortality During the COVID-19 Pandemic. - Garyfallos Konstantinoudis; Virgilio Gómez-Rubio; Michela Cameletti; Monica Pirani; Gianluca Baio; Marta Blangiardo (R J., 2023)