Advanced Machine Learning for Industrial Applications (AMaLIA-2) 8a.014.TAU

Project Start Date: Aug 1, 2019
Funding: Member Funded
Project Tags: ,

Project Summary

The project is made up of five (5) work packages:

  • WP1: Real-time data collection, anomaly detection, localization and classification at the edge – energy efficiency and privacy-preserving (Deadsetbit, PAULI, new)
  • WP2: Real-time health monitoring system – energy efficient and privacy-preserving (Tieto, MARC)
  • WP3: Advanced machine leading for anomaly detection
  • WP4: Self-taught and semi-supervised learning
  • WP5: Fully-automated myocardial infarction detection using echocardiography (Tieto, MATTI)


Principal Investigator(s)