Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
This paper describes the first application of the Genevieve test generation methodology. The Genevieve approach uses semi-formal techniques derived from "model-checking"...
The middleware infrastructure to support applications is becoming critically important to the new horizons of mobile and pervasive computing. In this context, the goal of our work...
The growing needs in computational power to answer to the increasing number of on-line services and the complexity of applications makes it mandatory to build corresponding hardwar...
: Current best-practices for defining Domain-Specific Modeling Languages call for metamodeling techniques, which do not take into account the future use of such languages in multiv...