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.
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.
no code implementations • 22 Apr 2019 • Pradip Mainali, Carlton Shepherd
Motion-based fall detection systems are concerned with detecting falls from vulnerable users, which is typically performed by classifying measurements from a body-worn inertial measurement unit (IMU) using machine learning.
no code implementations • 18 Apr 2019 • Pradip Mainali, Carlton Shepherd, Fabien A. P. Petitcolas
This paper proposes a new privacy-enhancing, context-aware user authentication system, ConSec, which uses a transformation of general location-sensitive data, such as GPS location, barometric altitude and noise levels, collected from the user's device, into a representation based on locality-sensitive hashing (LSH).