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03/30/2023
BPCE: A Prototype for Co-Evolution between Business Process Variants through Configurable Process Model
With the continuous development of business process management technolog...
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02/26/2023
MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data
This study aims to investigate the effects of including patients' clinic...
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12/05/2022
AMORETTO: A Method for Deriving IoT-enriched Event Logs
Process analytics aims to gain insights into the behaviour and performan...
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03/04/2022
Benchmark Evaluation of Counterfactual Algorithms for XAI: From a White Box to a Black Box
Counterfactual explanations have recently been brought to light as a pot...
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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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07/19/2021
Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
Predictive process analytics often apply machine learning to predict the...
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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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03/07/2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
There has been a growing interest in model-agnostic methods that can mak...
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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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11/27/2020
A Survey of Online Card Payment Fraud Detection using Data Mining-based Methods
Card payment fraud is a serious problem, and a roadblock for an optimall...
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11/24/2020
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs
Providing appropriate structures around human resources can streamline o...
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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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09/20/2019