4 papers
ExMo: Explainable AI Model using Inverse Frequency Decision Rules
Pradip Mainali, Ismini Psychoula, Fabien A. P. Petitcolas
In this paper, we present a novel method to compute decision rules to build a more accurate interpretable machine learning model, denoted as ExMo. The ExMo interpretable machine le…
Explainable Machine Learning for Fraud Detection
Ismini Psychoula, Andreas Gutmann, Pradip Mainali +3
The application of machine learning to support the processing of large datasets holds promise in many industries, including financial services. However, practical issues for the fu…
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
Human activity recognition using smart home sensors is one of the bases of ubiquitous computing in smart environments and a topic undergoing intense research in the field of ambien…
A Deep Learning Approach for Privacy Preservation in Assisted Living
Ismini Psychoula, Erinc Merdivan, Deepika Singh +6
In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Liv…