Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
Rudolf K. Keller, Richard Lajoie, Nazim H. Madhavj...
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
This paper presents a methodology and a set of tools for the modelling, validation and testing of Web service composition, conceived and developed within the French national projec...
Ana R. Cavalli, Tien-Dung Cao, Wissam Mallouli, El...