Feature Selection for Big Visual Data: Overview and Challenges

International Conference Image Analysis and Recognition (ICIAR 2018, Póvoa de Varzim, Portugal

SVGMapping: an R package to map omic data sets onto pathways templates

SVGMapping: an R package to map omic data sets onto pathways template

Issue on Visual Analytics

Journal of Information Technology Research (JITR) has a long tradition in publishing research papers devoted to develop new automatic and intelligent data analysis, for example this feature is pretty present in the four papers that compose current JITR issue. Artificial intelligent techniques, new algorithms, data mining approaches, agent-based solutions, etc. are usually used to do that. Also, it is very common that the performed analysis techniques are complemented with data visualization for presenting the results to the analyst in order to proceed with the decision-making processes

Digital Humanities Data Processing

The editorial of this first issue of volume 9, corresponding to 2016, is devoted to digital humanities data processing

Visual analysis to support exploration of recorded UAV data

International audienceDevelopments and improvements of UAV features are an awkward and difficult challenge. This activity requires precise tools and evaluation methods to analyze the UAV parameters. Therefore large quantity of data must be monitored and analyzed. In this paper, we present results of the produced visualizations with FromDaDy when exploring the recorded data of an UAV. FromDaDy is a visualization tool that tackles the challenge of representing, and interacting with numerous data. Together with a finely tuned mix between design customization and simple interactions, users can filter, remove and add data in an iterative manner until they extract a set of relevant information, thus formulating complex queries. The produced visualizations give a good insight of available information and then assess the performance of the recorded flight

The WYRED Project: A Technological Platform for a Generative Research and Dialogue about Youth Perspectives and Interests in Digital Society

European Commision (EC). Funding H2020/CSA. Project Code: 72706