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...
Enterprise and web data processing and content aggregation systems often require extensive use of human-reviewed data (e.g. for training and monitoring machine learning-based appl...
Qi Su, Dmitry Pavlov, Jyh-Herng Chow, Wendell C. B...
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Peer-to-peer (P2P) systems have been recently proposed for providing search and information retrieval facilities over distributed data sources, including web data. Terms and their ...
Robert Neumayer, Christos Doulkeridis, Kjetil N&os...