This paper describes our participation to the ImageCLEF 2016 scalable concept image annotation main task and Text Illustration teaser. Regarding image annotation, we focused on better localizing the detected features. For this, we identified the saliency of the image to collect a list of potential interesting places into the image. We also added a specific human attribute detector that boosted ...

The ImageCLEF 2014 Scalable Concept Image Annotation task was the third edition of a challenge aimed at developing more scalable image annotation systems. Unlike traditional image annotation challenges, which rely on a set of manually annotated images as training data, the participants were only allowed to use data and/or resources that as new concepts to detect are introduced do not require si...

This paper describes our participation to the ImageCLEF 2015 scalable concept image annotation task. Our system is only based on visual features extracted with a deep Convolutional Neural Network (CNN). The network is trained with noisy web data corresponding to the concepts to detect in this task. We introduce a simple concept localization pipeline that provides the localization of the detecte...

Recent proof-of-concept research has appeared showing the applicability of Brain Computer Interface (BCI) technology in combination with the human visual system, to classify images. The basic premise here is that images that arouse a participant’s attention generate a detectable response in their brainwaves, measurable using an electroencephalograph (EEG). When a participant is given a target c...

Formal ontological analysis is a methodology that builds on some philosophical notions in order to guide the process of building ontologies whose structure is correct and little or no tangled. This paper presents an ontology model that facilitates formal ontological analysis, by providing a set of metaproperties which characterise the behaviour of concept properties in a concept definition, whi...

As part of a larger study of student understanding of concepts in linear algebra, we interviewed 10 university linear algebra students as to their conceptions of functions from high school algebra and linear transformation from their study of linear algebra. An overarching goal of this study was to examine how linear algebra students see linear transformation as related to high school function....

Despite the variety of discussions on induction, there is still no explicit definition of the concept. However, since most treatments appear to, at least implicitly, acknowledge it, it seems clear that such a definition exists. A key obstacle seems to be the confusion between what induction is, and how induction should be performed. This research proposes the idea that induction should be viewe...

Compiled knowledge, which allows macro inference steps through an explanation space, can enable explanation-based learning (EBL) systems to reason efficiently in complex domains. Without this knowledge, the explanation of goal concepts is not generally feasible; moreover, the problem of finding the most general operational concept definition is intractable. Unfortunately, the use of compiled kn...

Integrating knowledge and values across a range of stakeholders and experts is a common goal of, and challenge in, forecasting and planning processes across numerous decision-making domains. In this paper we present a virtual and anonymous, deliberative and analytical participatory group process which we applied in a planning study. The process was a combination of concept mapping and a policy ...

The quantity-quality debate in social sciences also concerns concept formation and operationalization. The first approach has strong naturalist assumptions, while the second one focuses on the historical specificity of concepts. The solution to overcome this divide would be finding a path which balances the two perspectives. In this article we argue that fuzzy set theory can be a helpful tool f...