This paper presents an automated, online approach to anomaly detection in high-content screening assays for pharmaceutical research. Online detection of anomalies is attractive be...
Adam Goode, Rahul Sukthankar, Lily B. Mummert, Mei...
People use weblogs to express thoughts, present ideas and share knowledge, therefore weblogs are extraordinarily valuable resources, amongs others, for trend analysis. Trends are ...
Abstract. Operating-system verification gains increasing research interest. The complexity of such systems is, however, challenging and many endeavors are limited in some respect: ...
The advent of the mobile age has heavily changed the requirements of today’s communication devices. Data transmission over interference-prone wireless channels requires addition...
Andreas Genser, Christian Bachmann, Christian Steg...
In this paper, a novel diagnosis method is proposed. The proposed technique uses machine learning techniques instead of traditional cause-effect and/or effect-cause analysis. The ...