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05/06/2022
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning
Recommending a sequence of activities for an ongoing case requires that ...
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09/03/2021
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms
In this paper, we address the "black-box" problem in predictive process ...
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07/16/2021
Explainable AI Enabled Inspection of Business Process Prediction Models
Modern data analytics underpinned by machine learning techniques has bec...
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06/16/2021
Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
Although modern machine learning and deep learning methods allow for com...
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12/08/2020
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Predictive process analytics focuses on predicting the future states of ...
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07/21/2020
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
The use of sophisticated machine learning models for critical decision m...
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02/21/2020
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
This paper explores interpretability techniques for two of the most succ...
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12/22/2019
Interpreting Predictive Process Monitoring Benchmarks
Predictive process analytics has recently gained significant attention, ...
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09/02/2019
Targeted Example Generation for Compilation Errors
We present TEGCER, an automated feedback tool for novice programmers. TE...
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02/25/2019
Joint Multi-Domain Learning for Automatic Short Answer Grading
One of the fundamental challenges towards building any intelligent tutor...
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02/03/2018