In this work, we embark on a study of the possibility (or impossibility), and the corresponding costs, of devising concurrent, low-contention implementations of atomic Read-Modify...
Costas Busch, Marios Mavronicolas, Paul G. Spiraki...
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Background: Cell volume determination plays a pivotal role in the investigation of the biophysical mechanisms underlying various cellular processes. Whereas light microscopy in pr...
Patrick Happel, Kerstin Moller, Ralf Kunz, Irmgard...