A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
This paper reports our experiences on the Scalable Network Of Workstation (SNOW) project, which implements a novel methodology to support user-level process migration for traditio...
Parallel coordinates technique has been widely used in information visualization applications and it has achieved great success in visualizing multivariate data and perceiving the...
This paper proposes a middleware based on the multi-agent paradigm. Our proposition enables agents to locate and to interact easily with heterogeneous services and information pro...
With the proliferation of mobile devices we witness an increasing demand for supporting collaboration among users working in the field and in the office. A key component for colla...
Allan Meng Krebs, Mihail F. Ionescu, Bogdan Doroho...