— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
In spatiotemporal applications, meaningful changes vary according to object type, level of detail, and nature of application. In this paper, we introduce a dynamic classification ...
Giorgos Mountrakis, Peggy Agouris, Anthony Stefani...
Event search is the problem of identifying events or activity of interest in a large database storing long sequences of activity. In this paper, our topic is the problem of identi...
Panagiotis Papapetrou, Paul Doliotis, Vassilis Ath...
In this paper, we consider the problem of motion planning for mobile robots with nonlinear hybrid dynamics, and high-level temporal goals. We use a multi-layered synergistic framew...