1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning
István Ketykó, Felix Mannhardt, Marwan Hassani +1
Deep Learning is proven to be an effective tool for modeling sequential data as shown by the success in Natural Language, Computer Vision and Signal Processing. Process Mining conc…
cs.LG2019
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition
István Ketykó, Ferenc Kovács
We propose a new metric to measure domain divergence and a new domain adaptation method for time-series classification. The metric belongs to the class of probability distributions…