:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kuo, Nicholas I-Hsien, Gallego, Blanca, Jorm, Louisa
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.16811
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare
by: Kuo, Nicholas I-Hsien, et al.
Published: (2024)

Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records
by: Kuo, Nicholas I-Hsien, et al.
Published: (2025)

Limits of Generative Pre-Training in Structured EMR Trajectories with Irregular Sampling
by: Kuo, Nicholas I-Hsien, et al.
Published: (2025)

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling
by: Kuo, Nicholas I-Hsien, et al.
Published: (2026)

Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding
by: Bi, Bokang, et al.
Published: (2024)

Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
by: Quiroz, Juan C., et al.
Published: (2022)

Synthetic Data Generation for Augmenting Small Samples
by: Liu, Dan, et al.
Published: (2025)

Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
by: Ashhad, Mohd, et al.
Published: (2024)

Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models
by: Puttanawarut, Chanon, et al.
Published: (2025)

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
by: Brockschmidt, Marie, et al.
Published: (2025)

TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
by: Li, Jiayu, et al.
Published: (2024)

Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs
by: Gallego, Víctor
Published: (2024)

Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective
by: Gallego, Victor
Published: (2023)

The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research
by: Blake, Victoria, et al.
Published: (2023)

Feature Dynamics as Implicit Data Augmentation: A Depth-Decomposed View on Deep Neural Network Generalization
by: Ruan, Tianyu, et al.
Published: (2025)

A Reinforcement Learning Approach to Synthetic Data Generation
by: Espinosa-Dice, Natalia, et al.
Published: (2025)

Search-Augmented Masked Diffusion Models for Constrained Generation
by: Ta, Huu Binh, et al.
Published: (2026)

Synthetic Data Augmentation for Medical Audio Classification: A Preliminary Evaluation
by: McShannon, David, et al.
Published: (2026)

TrialSynth: Generation of Synthetic Sequential Clinical Trial Data
by: Gao, Chufan, et al.
Published: (2024)

Toward Valid Generative Clinical Trial Data with Survival Endpoints
by: Chassat, Perrine, et al.
Published: (2025)

Evaluating Synthetic Tabular Data Generated To Augment Small Sample Datasets
by: Marin, Javier
Published: (2022)

Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering
by: Schwabe, Tim, et al.
Published: (2025)

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
by: Segal, Bradley, et al.
Published: (2025)

MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation
by: Salarian, Sama, et al.
Published: (2025)

Learning Probabilities of Causation with Mask-Augmented Data
by: Wang, Shuai, et al.
Published: (2025)

AIS-CycleGen: A CycleGAN-Based Framework for High-Fidelity Synthetic AIS Data Generation and Augmentation
by: Zaman, SM Ashfaq uz, et al.
Published: (2026)

Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
by: Jakobsen, Adam, et al.
Published: (2026)

Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
by: Margaryan, Mane, et al.
Published: (2022)

Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
by: Núñez, José Fernando, et al.
Published: (2024)

Debiasing Synthetic Data Generated by Deep Generative Models
by: Decruyenaere, Alexander, et al.
Published: (2024)

Synthetic Flight Data Generation Using Generative Models
by: Aly, Karim, et al.
Published: (2026)

HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
by: Rios, Gaston Gustavo, et al.
Published: (2025)

ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
by: Chen, Jason, et al.
Published: (2025)

OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
by: Cornelis, Louisa, et al.
Published: (2026)

Partition Generative Modeling: Masked Modeling Without Masks
by: Deschenaux, Justin, et al.
Published: (2025)

Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)

Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation
by: Kulynych, Bogdan, et al.
Published: (2026)

A Comprehensive Evaluation Framework for Synthetic Trip Data Generation in Public Transport
by: Wu, Yuanyuan, et al.
Published: (2025)

Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision
by: Han, Jessy Xinyi, et al.
Published: (2025)

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
by: Villaizán-Vallelado, Mario, et al.
Published: (2024)