Crowdsourcing is a popular approach to collect annotations for unlabeled data instances. It involves collecting large number of from several, often naive untrained annotators each instance which are then combined estimate the ground truth. Further, constructs such as affect multi-dimensional with rating multiple dimensions, valence and arousal, instance. Most annotation fusion schemes however i...

In this paper, we propose a multi-dimensional opinion formation model for online social networks. Previous studies have not taken into account the “curse of dimensionality” that comes from higher-dimensional state space used in formation; dimensionality is high as opinions with various types preferences must be handled simultaneously. Conventionally, interactions between users are limited to st...

The paper presents a multi-facet methodology for interactive software creation which melts holistic, participatory, meta-design approaches to obtain usable, coevolutive domain specific applications. The proposed methodology is based on the definition of three Interaction Languages, each one permitting to express the conceptual model of a Visual Interactive System in the system of signs of the s...

Annotation: This chapter explains general model-based approaches to several basic pattern recognition applications followed by a concise description of three fundamental multi-dimensional data model classes. For each model class a solution to parameter estimation and model data synthesis is outlined. Finally an overview of the strengths and weaknesses of studied multi-dimensional data model gro...

Spasticity is common after stroke and other neurological conditions and causes considerable limitations of movement, activities of daily living and participation. Interaction with other components of the upper motor neurone syndrome (UMNS) and the heterogeneity of patients' presentations together with limited tools for outcome measurement have hampered the production of randomised controlled tr...