Peripheral T-cell lymphomas (PTCL) remain largely unexplored due to disease rarity and biological heterogeneity as well as relatively recent recognition in modern classification systems. Before 1970, classifications of non-Hodgkin’s lymphomas (NHL) were based on morphology. The discovery of distinct T-, Band natural killer (NK)–cell lineages led to two immunologically based classification syste...

Facetag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords' space of tags can be effectively mixed with a richer faceted classification scheme to improve the “information scent” and “berrypicking” capabilities of the system. The additional semantic structur...

Working Formulation (WF), which has been used extensively in the United States and served as a common language to translate between six different classification schemes, failed to recognize MCL as a distinct entity. In the WF, MCL is classified as diffuse small cleaved most frequently, but also as follicular, small cleaved cell type, small lymphocytic lymphoma, diffuse large cell type and lymho...

Few studies have addressed action control training. In the current study, participants were trained over 19 days in an adaptive training task that demanded constant switching, maintenance and updating of novel action rules. Participants completed an executive functions battery before and after training that estimated processing speed, working memory updating, set-shifting, response inhibition a...

In this paper we present an advanced Nearest Prototype Classification to handle data points with unsharp class assignments. Therefore we extend the Soft Nearest Prototype Classification as proposed by Seo et al. and its further enhancement working with fuzzy labeled prototypes as introduced by Villmann et al. We adapt the cost function and derive appropriate update rules for the prototypes. We ...

Although sports classification for cerebral palsy has been in use for several years, it is complicated both for training and for scoring. People with cerebral palsy are difficult to fit into classification systems that are appropriate for other disability groups. The aim of this report is to describe the development of a framework for a simple quantitative classification of cerebral palsy. It w...

This working note describes the results of CVG Jena Fulda team for the fish recognition task in SeaCLEF 2016. Our method is based on convolutional neural networks applied to object proposals for detection as well as species classification. We are using background subtraction proposals that are filtered by a binary SVM classifier for fish detection and a multiclass SVM for species classification...

We describe the medical image classification task in ImageCLEF 2005– 2009. It evolved from a classification task with 57 classes on a total of 10,000 images into a hierarchical classification task with a very large number of potential classes. Here, we describe how the database and the objectives changed over the years and how state–of–the–art approaches from machine learning and computer visio...

A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In addition to the error function based on the mean squared error (MSE), approximate decorrelation between hidden layer neurons is enforced by a weight orthogonalization mechanism. The aim is to obtain a sparse coding of the obje...

Purpose – The purpose of this paper is to further current understanding of the relationship between consumption attitudes and new product adoption and how the relationship may be contingent upon consumers’ other characteristics. Design/methodology/approach – Following a contingency framework, five consumption attitudes derived from Schwartz’s value systems framework were examined, along with de...