Leah Gerrard

According to our database, Leah Gerrard authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions.

Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data.

Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning.

Leah Gerrard, Xueping Peng, Allison Clarke, Clement Schlegel, Jing Jiang

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health.

Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang

CoRR, 2021

A Green Pipeline for Out-of-Domain Public Sentiment Analysis.

Ming Xie, Jing Jiang, Tao Shen, Yang Wang, Leah Gerrard, Allison Clarke

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2019

Interactive Deep Metric Learning for Healthcare Cohort Discovery.

Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019