Thanh-Dung Le

According to our database, Thanh-Dung Le authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Heart Rate and Body Temperature Relationship in Children Admitted to PICU: A Machine Learning Approach.

Emilie Lu, Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

IEEE Trans. Biomed. Eng., August, 2025

A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives.

Ti Ti Nguyen, Thanh-Dung Le, Vu Nguyen Ha, Hong-Fu Chou, Geoffrey Eappen, Duc-Dung Tran, Hung Nguyen-Kha, Prabhu Thiruvasagam, Luis Manuel Garcés Socarrás, Jorge Luis González Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas

CoRR, March, 2025

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, Symeon Chatzinotas, Philippe Jouvet, Rita Noumeir

IEEE Access, 2025

2024

Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification.

Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu K. Thiruvasagam, Hong-Fu Chou, Duc-Dung Tran, Luis Manuel Garcés Socarrás, Jorge Luis González Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas

CoRR, 2024

Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation.

Hong-Fu Chou, Vu Nguyen Ha, Prabhu K. Thiruvasagam, Thanh-Dung Le, Geoffrey Eappen, Ti Ti Nguyen, Duc-Dung Tran, Luis Manuel Garcés Socarrás, Juan Carlos Merlano Duncan, Symeon Chatzinotas

CoRR, 2024

On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks.

Hong-Fu Chou, Vu Nguyen Ha, Prabhu K. Thiruvasagam, Thanh-Dung Le, Geoffrey Eappen, Ti Ti Nguyen, Luis Manuel Garcés Socarrás, Jorge Luis González Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas

CoRR, 2024

On-board Satellite Image Classification for Earth Observation: A Comparative Study of Pre-Trained Vision Transformer Models.

Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu K. Thiruvasagam, Luis Manuel Garcés Socarrás, Hong-Fu Chou, Jorge Luis González Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas

CoRR, 2024

The Impact of LoRA Adapters for LLMs on Clinical NLP Classification Under Data Limitations.

Thanh-Dung Le, Ti Ti Nguyen, Vu Nguyen Ha

CoRR, 2024

Hybrid Deep Learning-Based for Enhanced Occlusion Segmentation in PICU Patient Monitoring.

Mario Francisco Munoz, Hoang Vu Huy, Thanh-Dung Le

CoRR, 2024

Multi-objective Representation for Numbers in Clinical Narratives Using CamemBERT-bio.

Boammani Aser Lompo, Thanh-Dung Le

CoRR, 2024

Boosting Transformer's Robustness and Efficacy in PPG Signal Artifact Detection with Self-Supervised Learning.

Thanh-Dung Le

CoRR, 2024

Label Propagation Techniques for Artifact Detection in Imbalanced Classes Using Photoplethysmogram Signals.

Clara Macabiau, Thanh-Dung Le, Kevin Albert, Mana Shahriari, Philippe Jouvet, Rita Noumeir

IEEE Access, 2024

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection.

Thanh-Dung Le, Clara Macabiau, Kevin Albert, Philippe Jouvet, Rita Noumeir

IEEE Access, 2024

2023

Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals.

Clara Macabiau, Thanh-Dung Le, Kevin Albert, Philippe Jouvet, Rita Noumeir

CoRR, 2023

A Small-Scale Switch Transformer and NLP-based Model for Clinical Narratives Classification.

Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

CoRR, 2023

2022

Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning.

Thanh-Dung Le, Rita Noumeir, Jerome Rambaud, Guillaume Sans, Philippe Jouvet

CoRR, 2022

2021

Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation.

Thanh-Dung Le, Jerome Rambaud, Guillaume Sans, Philippe Jouvet, Rita Noumeir

CoRR, 2021

Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives.

Thanh-Dung Le, Rita Noumeir, Jerome Rambaud, Guillaume Sans, Philippe Jouvet

CoRR, 2021

2018

Reproducing AmbientGAN: Generative models from lossy measurements.

Mehdi Ahmadi, Timothy Nest, Mostafa Abdelnaim, Thanh-Dung Le

CoRR, 2018