Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Model checking by exhaustive state space enumeration is one of the most developed analysis methods for distributed event systems. Its main problem—the size of the state spaces—...
The aim of this paper is threefold: it explores methods for the detection of affective states in text, it presents the usage of such affective cues in a conversational system and ...
Marcin Skowron, Hannes Pirker, Stefan Rank, Georgi...
The deep web contains an order of magnitude more information than the surface web, but that information is hidden behind the web forms of a large number of web sites. Metasearch e...
Jeffrey P. Bigham, Ryan S. Kaminsky, Jeffrey Nicho...
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...