31 citations · 43 across the 10 of their papers we have counts for
4 papers · 1 filter
Clustering with Confidence: Finding Clusters with Statistical Guarantees
Andreas Henelius, Kai Puolamäki, Henrik Boström +1
Clustering is a widely used unsupervised learning method for finding structure in the data. However, the resulting clusters are typically presented without any guarantees on their…
A short review and primer on cardiovascular signals in human computer interaction applications
Andreas Henelius
The use of psychophysiologic signals in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging fie…
Finding Statistically Significant Attribute Interactions
Andreas Henelius, Antti Ukkonen, Kai Puolamäki
In many data exploration tasks it is meaningful to identify groups of attribute interactions that are specific to a variable of interest. For instance, in a dataset where the attri…
A short review and primer on online processing of multiple signal sources in human computer interaction applications
Jari Torniainen, Andreas Henelius
The application of psychophysiological in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging f…