2 citations · 3 across the 4 of their papers we have counts for
4 papers
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data
Mythreyi Velmurugan, Chun Ouyang, Yue Xu +3
Explainable Artificial Intelligence (XAI) techniques are used to provide transparency to complex, opaque predictive models. However, these techniques are often designed for image a…
Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira +1
Although modern machine learning and deep learning methods allow for complex and in-depth data analytics, the predictive models generated by these methods are often highly complex,…
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…
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…