The Classification of Style in Fine-art Painting by Thomas Edward Lombardi Submitted in partial fulfillment of the requirements for the degree of Doctor of Professional Studies in Computing August 2005 The computer science approaches to the classification of painting concentrate on problems of attribution. While this goal is certainly worthy of pursuit, there are other valid tasks related to th...

Computational stylistics refers informally to a collection of tasks within computational linguistics that deal with the style—as opposed to the semantic content—of natural language. The most famous of these tasks is perhaps authorship attribution (Stamatatos et al., 2001), which uses statistical variations in word choice to select the most likely from a fixed set of potential authors. Though ap...

This thesis deals with a text classification problem: the identification of the author of a text by its style. Given a text whose author is unknown, and a set of candidates with sample texts, we need to find the true author of the text. The authorship attribution problem has usages in the humanities, in forensic linguistics and in intelligence. The corpora on which this study was done are writt...

The generation of musical material in a given style has been the subject of many studies with the increased sophistication of artificial intelligence models of musical style. In this paper we address a question of primary importance for artificial intelligence and music psychology: can such systems generate music that users indeed consider as corresponding to their own style? We address this qu...

This paper examines the effectiveness of the Penn Resiliency Program (PRP) in an urban Indian setting. The PRP is a program to prevent depression in early adolescence and has proved successful in changing children's attributional style of life events. While the program has been successful in preventing symptoms of depression in Western populations, the current study explored whether this progra...

Researchers have tackled the problem of authorship attribution in several different ways, using various metrics to identify the author of an anonymous document given a set of writing samples from potential candidates. Common complaints about modern methodologies tend to accuse studies of content bias, which occurs when quantitative models identify similar content rather than similar styles. Thi...