1 code implementation • 24 Jun 2021 • Yang Lu, Qifan Chen, Simon Poon
Process mining is a relatively new subject which builds a bridge between process modelling and data mining.
no code implementations • 19 Mar 2021 • Yang Lu, Qifan Chen, Simon Poon
In this paper, we propose a method which takes both event logs and process models as input and generates a choice sequence for each exclusive choice in the process model.
no code implementations • 19 Mar 2021 • Qifan Chen, Yang Lu, Simon Poon
The key to process mining is to discovery understandable process models.
1 code implementation • 3 Jul 2019 • Zeyuan Wang, Josiah Poon, Simon Poon
In medical real-world study (RWS), how to fully utilize the fragmentary and scarce information in model training to generate the solid diagnosis results is a challenging task.
1 code implementation • 9 Apr 2019 • Zeyuan Wang, Josiah Poon, Shiding Sun, Simon Poon
However, in many real-world cases, data is often of low-quality due to a variety of reasons, such as data consistency, integrity, completeness, accuracy, etc.
no code implementations • 19 Dec 2018 • Zeyuan Wang, Josiah Poon, Shiding Sun, Simon Poon
Inspired from it, we employ multi-instance multi-task learning combined with the convolutional neural network (MIMT-CNN) for syndrome differentiation, which takes region proposals as input and output image labels directly.