Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data. - Raffaele Marchesi; Nicolo Micheletti; Giuseppe Jurman; Venet Osmani (CoRR, 2022)

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2023)

Generating Medical Instructions with Conditional Transformer. - Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2023)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (ICHI, 2024)

Exploration of Masked and Causal Language Modelling for Text Generation. - Nicolo Micheletti; Samuel Belkadi; Lifeng Han; Goran Nenadic (CoRR, 2024)

BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2024)

MLM4SynMed: Masked Language Modelling for Synthetic Free-text Medical Records Generation. - Samuel Belkadi; Libo Ren; Nicolo Micheletti; Lifeng Han; Goran Nenadic (ICHI, 2025)

Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling. - Samuel Belkadi; Libo Ren; Nicolo Micheletti; Lifeng Han; Goran Nenadic (NAACL (Student Research Workshop), 2025)