PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
We present a simple and effective approximated backward reachability algorithm for parameterized systems with existentially and universally quantified global conditions. The indivi...
Parosh Aziz Abdulla, Giorgio Delzanno, Ahmed Rezin...
We examine the problem of finding a single meeting location for a group of heterogeneous autonomous mobile robots, such that the total system cost of traveling to the rendezvous i...
Pawel Zebrowski, Yaroslav Litus, Richard T. Vaugha...
— We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected that these inverse prob...