As data analytics becomes mainstream, and the complexity of the underlying data and computation grows, end-users will increasingly rely on visualizations to present simplified statistics that summarizes interesting properties in the data. It is even more important to provide tools that help analysts understand the underlying reasons when they see anomalous results. We envision adding a new expl...

Textual reuse is an integral part of textual case-based reasoning (TCBR) which deals with solving new problems by reusing previous similar problem-solving experiences documented as text. We investigate the role of text reuse for text authoring applications that involve feedback or review generation. Generally providing feedback in the form of assigning a rating from a likert scale is far easier...

A method is proposed to process ECD brain SPECT images representing epileptic hot spots inside the brain. For validation 35 ictal interictal patient image data were processed. The images were registered by a normalized mutual information method, then the separation of the suspicious and normal brain areas were performed by two thresholdbased segmentations. Normalization between the images was p...

We report on a quantitative analysis of relationships between the number of homicides, population size and ten other urban metrics. By using data from Brazilian cities, we show that well-defined average scaling laws with the population size emerge when investigating the relations between population and number of homicides as well as population and urban metrics. We also show that the fluctuatio...

In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vacillatory and behaviourally correct learning are introduced for this setting. Here the learner reads in parallel the data of a text for a language L from the class plus an ω-index α and outputs a sequence of ω-automata s...

Three experiments investigate whether and why people accept explanations for symptoms that appeal to mental disorders, such as: “She experiences delusions because she has schizophrenia.” Such explanations are potentially puzzling, as mental disorder diagnoses are made on the basis of symptoms, and the DSM implicitly rejects a commitment to some common, underlying cause. Do laypeople nonetheless...

This paper introduces a model of multipleinstance learning applied to the prediction of aspect ratings or judgments of specific properties of an item from usercontributed texts such as product reviews. Each variable-length text is represented by several independent feature vectors; one word vector per sentence or paragraph. For learning from texts with known aspect ratings, the model performs m...