In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
The paper reconsiders the autoregressive aided periodogram bootstrap (AAPB) which has been suggested in Kreiß and Paparoditis (2003). Their idea was to combine a time domain param...
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...