We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Classifying objects in computer vision, we are faced with a great many features one can use. This paper argues that diagrammatic representations help to comprehend properties of fe...
Mapping and classification of chemical compound names are important aspects of the tasks of BioNLP. This paper introduces the architecture of a system for the syntactic and semant...
Designing mobile and wearable applications is a challenge. The context of use is more important than ever and traditional methodologies for elicitation and specification reach the...
CogTool-Explorer is a tool to predict user exploration choices given a user interface and task. We describe the integration of components that make up CogToolExplorer, and how it ...