A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
In this paper, we tackle challenges in migrating enterprise services into hybrid cloud-based deployments, where enterprise operations are partly hosted on-premise and partly in th...
Mohammad Y. Hajjat, Xin Sun, Yu-Wei Eric Sung, Dav...
Today's computer-human interfaces are typically designed with the assumption that they are going to be used by an able-bodied person, who is using a typical set of input and ...
Krzysztof Z. Gajos, Daniel S. Weld, Jacob O. Wobbr...
Background: Today, data evaluation has become a bottleneck in chromatographic science. Analytical instruments equipped with automated samplers yield large amounts of measurement d...
Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...