6 citations · 7 across the 2 of their papers we have counts for
4 papers
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…
Exploring Interpretability for Predictive Process Analytics
Renuka Sindhgatta, Chun Ouyang, Catarina Moreira
Modern predictive analytics underpinned by machine learning techniques has become a key enabler to the automation of data-driven decision making. In the context of business process…
Process Query Language: Design, Implementation, and Evaluation
Artem Polyvyanyy, Arthur H. M. ter Hofstede, Marcello La Rosa +2
Organizations can benefit from the use of practices, techniques, and tools from the area of business process management. Through the focus on processes, they create process models…