Publication in IEEE on Efficient time-adaptive Expectation Maximization algorithm for HMM tracking

Congrats to the KTH team for their publication in IEEE Transactions on Industrial Informatics "Time-Adaptive Expectation Maximization Learning Framework for HMM Based Data-Driven Gas Sensor Calibration". Check our Research highlights to learn more about it.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825272 (ULISSES).