ExMo: Explainable AI Model using Inverse Frequency Decision Rules

no code implementations • 20 May 2022 • Pradip Mainali, Ismini Psychoula, Fabien A. P. Petitcolas

The ExMo interpretable machine learning model consists of a list of IF... THEN... statements with a decision rule in the condition.

Fraud Detection Interpretable Machine Learning

Explainable Machine Learning for Fraud Detection

no code implementations • 13 May 2021 • Ismini Psychoula, Andreas Gutmann, Pradip Mainali, S. H. Lee, Paul Dunphy, Fabien A. P. Petitcolas

The application of machine learning to support the processing of large datasets holds promise in many industries, including financial services.

BIG-bench Machine Learning Fraud Detection

Human Activity Recognition using Recurrent Neural Networks

no code implementations • 19 Apr 2018 • Deepika Singh, Erinc Merdivan, Ismini Psychoula, Johannes Kropf, Sten Hanke, Matthieu Geist, Andreas Holzinger

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 ambient assisted living.

BIG-bench Machine Learning Human Activity Recognition

A Deep Learning Approach for Privacy Preservation in Assisted Living

no code implementations • 22 Feb 2018 • Ismini Psychoula, Erinc Merdivan, Deepika Singh, Liming Chen, Feng Chen, Sten Hanke, Johannes Kropf, Andreas Holzinger, Matthieu Geist

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 Living (AAL) environments.