Zhan Wei Lim

According to our database1, Zhan Wei Lim authored at least 11 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.
npj Digit. Medicine, 2020

2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.
npj Digit. Medicine, 2019

Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Building Trust in Deep Learning System towards Automated Disease Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017
Shortest Path under Uncertainty: Exploration versus Exploitation.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016
Adaptive informative path planning in metric spaces.
Int. J. Robotics Res., 2016

2015
Adaptive Stochastic Optimization: From Sets to Paths.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2011
Monte Carlo Value Iteration with Macro-Actions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009
Detection of Failures in Civil Structures Using Artificial Neural Networks.
Proceedings of the Artificial Neural Networks, 2009


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