Get started
Author

Nicolo Micheletti

Generative AI mitigates representation bias and improves model fairness through synthetic health data
2025 · Raffaele Marchesi, Nicolo Micheletti, et al. · PLoS Computational Biology · 29
PDF
Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
2024 · Zihao Li, Samuel Belkadi, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 12
PDF
LT3: Generating Medication Prescriptions with Conditional Transformer
2025 · Samuel Belkadi, Nicolo Micheletti, et al. · 3
PDF
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling
2025 · Samuel Belkadi, Libo Ren, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 2
PDF
Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
2024 · Li, Zihao, Belkadi, Samuel, et al. · arXiv (Cornell University) · 2
PDF
Exploration of Masked and Causal Language Modelling for Text Generation
2024 · Micheletti, Nicolo, Belkadi, Samuel, et al. · arXiv (Cornell University) · 2
PDF
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
2022 · Marchesi, Raffaele, Micheletti, Nicolo, et al. · arXiv (Cornell University) · 2
PDF
MLM4SynMed: Masked Language Modelling for Synthetic Free-text Medical Records Generation
2025 · Samuel Belkadi, Libo Ren, et al. · IEEE International Conference on Healthcare Informatics (ICHI)
PDF
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling
2024 · Belkadi, Samuel, Ren, Libo, et al. · arXiv (Cornell University)
PDF
Generating Medical Prescriptions with Conditional Transformer
2023 · Belkadi, Samuel, Micheletti, Nicolo, et al. · arXiv (Cornell University)
PDF
Generating Medical Instructions with Conditional Transformer
2023 · Belkadi, Samuel, Micheletti, Nicolo, et al. · Research Explorer (The University of Manchester)
PDF
Works count: 10
Citation count: 51
H-index: 3
I10-index: 2
Year
Topic
Type