Hai Siong Tan

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncertainty quantification in neural network-based glucose prediction for diabetes. CoRR Hai Siong Tan, Rafe McBeth
2025	J	`jnl`	Evidential Physics-Informed Neural Networks for Scientific Discovery. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2025	J	`jnl`	Evidential Physics-Informed Neural Networks. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2025	J	`jnl`	Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks. CoRR Hai Siong Tan
2024	J	`jnl`	Deep Evidential Learning for Dose Prediction. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	J	`jnl`	Deep evidential learning for radiotherapy dose prediction. Comput. Biol. Medicine Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	J	`jnl`	Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. Comput. Biol. Medicine Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	—	`conf`	Uncertainty-Error Correlations in Evidential Deep Learning Models for Biomedical Segmentation. TAAI (1) Hai Siong Tan, Kwancheng Wang, Rafe McBeth
2024	J	`jnl`	Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2023	J	`jnl`	Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2023	J	`jnl`	Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments. CoRR Kuancheng Wang, Hai Siong Tan, Rafe McBeth