Pertinent background knowledge for learning protein grammars (2006)
Book Chapter
Bryant, C., Fredouille, D., Wilson, A., Jayawickreme, C., Jupe, S., & Topp, S. (2006). Pertinent background knowledge for learning protein grammars. In J. Fürnkranz, T. Scheffer, & M. Spiliopoulou (Eds.), Machine learning: ECML 2006 (54-65). Berlin / Heidelberg, Germany: Springer. https://doi.org/10.1007/11871842_10

We are interested in using Inductive Logic Programming(ILP) to infer grammars representing sets of protein sequences. ILP takes as input both examples and background knowledge predicates. This work is a first step in optimising the choice of backgrou... Read More about Pertinent background knowledge for learning protein grammars.

Why anthropomorphic user interface feedback can be effective and preferred by users (2006)
Book Chapter
Murano, P. (2006). Why anthropomorphic user interface feedback can be effective and preferred by users. In C. Chen, J. Filipe, I. Seruca, & J. Cordeiro (Eds.), Enterprise information systems VII (241-248). Springer Netherlands. https://doi.org/10.1007/978-1-4020-5347-4_27

This paper addresses and resolves an interesting question concerning the reason for anthropomorphic user interface feedback being more effective (in two of three contexts) and preferred by users compared to an equivalent non-anthropomorphic feedback.... Read More about Why anthropomorphic user interface feedback can be effective and preferred by users.

The impact of display system and embodiment on closely coupled collaboration between remote users (2006)
Book Chapter
Otto, O., Wolff, R., & Roberts, D. (2006). The impact of display system and embodiment on closely coupled collaboration between remote users. In R. Schroeder, & A. Axelsson (Eds.), Avatars at work and play: collaboration and interaction in shared virtual environments (131-149). Netherlands: Springer. https://doi.org/10.1007/1-4020-3898-4_6

A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set (2006)
Book Chapter
Correa, E., Freitas, A., & Johnson, C. (2006). A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. In Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06 (35). ACM Digital Library. https://doi.org/10.1145/1143997.1144003

Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into classes or categories of the same type. The use of variables (attribut... Read More about A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set.