13 citations
5 papers
The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraints
Thanh-Dung Le, Ti Ti Nguyen, Vu Nguyen Ha +3
Fine-tuning Large Language Models (LLMs) for clinical Natural Language Processing (NLP) poses significant challenges due to domain gap, limited data, and stringent hardware constra…
A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
Thanh-Dung Le, Clara Macabiau, Kévin Albert +2
Recent research at CHU Sainte Justine's Pediatric Critical Care Unit (PICU) has revealed that traditional machine learning methods, such as semi-supervised label propagation and K-…
Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals
Clara Macabiau, Thanh-Dung Le, Kevin Albert +3
This study aimed to investigate the application of label propagation techniques to propagate labels among photoplethysmogram (PPG) signals, particularly in imbalanced class scenari…
Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation
Thanh-Dung Le, Rita Noumeir, Jerome Rambaud +2
The rapid progress in clinical data management systems and artificial intelligence approaches enable the era of personalized medicine. Intensive care units (ICUs) are the ideal cli…
Critical Temperature Prediction for a Superconductor: A Variational Bayesian Neural Network Approach
Thanh Dung Le, Rita Noumeir, Huu Luong Quach +3
Much research in recent years has focused on using empirical machine learning approaches to extract useful insights on the structure-property relationships of superconductor materi…