What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning

1 code implementation • 19 Oct 2021 • István Ketykó, Felix Mannhardt, Marwan Hassani, Boudewijn van Dongen

Looking at suffix prediction as the most challenging of these tasks, the performance of Deep Learning models was evaluated only on average measures and for a small number of real-life event logs.

On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition

1 code implementation • 18 Dec 2019 • István Ketykó, Ferenc Kovács

We propose a new metric to measure domain divergence and a new domain adaptation method for time-series classification.

Domain Adaptation Gesture Recognition +3

Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks

1 code implementation • 21 Jan 2019 • István Ketykó, Ferenc Kovács, Krisztián Zsolt Varga

Surface Electromyography (sEMG/EMG) is to record muscles' electrical activity from a restricted area of the skin by using electrodes.

Domain Adaptation EMG Gesture Recognition +1