47 citations · 116 across the 12 of their papers we have counts for
5 papers · 1 filter
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira +1
Predictive process analytics focuses on predicting the future states of running instances of a business process. While advanced machine learning techniques have been used to increa…
A Survey of Online Card Payment Fraud Detection using Data Mining-based Methods
Bemali Wickramanayake, Dakshi Kapugama Geeganage, Chun Ouyang +1
Card payment fraud is a serious problem, and a roadblock for an optimally functioning digital economy, with cards (Debits and Credit) being the most popular digital payment method…
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs
Jing Yang, Chun Ouyang, Wil M. P. van der Aalst +2
Providing appropriate structures around human resources can streamline operations and thus facilitate the competitiveness of an organization. To achieve this goal, modern organizat…
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan +3
The use of sophisticated machine learning models for critical decision making is faced with a challenge that these models are often applied as a "black-box". This has led to an inc…
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
Catarina Moreira, Renuka Sindhgatta, Chun Ouyang +2
This paper explores interpretability techniques for two of the most successful learning algorithms in medical decision-making literature: deep neural networks and random forests. W…