EuroVA15

Eurographics DL Repository

EuroVA15

 

Cagliari, Italy, May 25-26, 2015


Analytical Reasoning
Supporting Historical Research Through User-Centered Visual Analytics
Nadia Boukhelifa, Emmanouil Giannisakis, Evanthia Dimara, Wesley Willett, and Jean-Daniel Fekete
Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
Robert Krüger, Dominik Herr, Florian Haag, and Thomas Ertl
High-dimensional Data and the Design Process
Visual Scaffolding in Integrated Spatial and Nonspatial Analysis
G. Elisabeta Marai
Interactive Image Feature Selection Aided by Dimensionality Reduction
Paulo Eduardo Rauber, Renato Rodrigues Oliveira da Silva, Sander Feringa, M. Emre Celebi, Alexandre X. Falcão, and Alexandru C. Telea
The Use of High-Dimensional Visualizations in Explaining Hospital Pricing Patterns
Miriam Perkins and Georges Grinstein
Attribute-based Visual Explanation of Multidimensional Projections
Renato R. O. da Silva, Paulo E. Rauber, Rafael M. Martins, Rosane Minghim, and Alexandru C. Telea
Textual, Spatial and Uncertain Data
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
Tobias Ruppert, Jürgen Bernard, Hendrik Lücke-Tieke, Thorsten May, and Jörn Kohlhammer
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media
Junghoon Chae, Yuchen Cui, Yun Jang, Guizhen Wang, Abish Malik, and David S. Ebert
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
Dominik Jäckle, Hansi Senaratne, Juri Buchmüller, and Daniel A. Keim
Visual Analytics and Uncertainty: Its Not About the Data
Alan M. MacEachren
Time-series and Temporal Data
Visual Analysis of Relations in Attributed Time-Series Data
Martin Steiger, Jürgen Bernard, Philipp Schader, and Jörn Kohlhammer
Exploration and Assessment of Event Data
Peter Bodesinsky, Bilal Alsallakh, Theresia Gschwandtner, and Silvia Miksch
Integrating Predictions in Time Series Model Selection
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, and Alexander Rind
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
Paolo Federico, Jürgen Unger, Albert Amor-Amorós, Lucia Sacchi, Denis Klimov, and Silvia Miksch

Recent Submissions

  • Bodesinsky, Peter; Alsallakh, Bilal; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2015)
    Event data is generated in many domains, like business process management, industry or healthcare. These datasets are often unstructured, exhibit variant behaviour, and may contain errors. Before applying automated analysis ...
  • Federico, Paolo; Unger, Jürgen; Amor-Amorós, Albert; Sacchi, Lucia; Klimov, Denis; Miksch, Silvia (The Eurographics Association, 2015)
    The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of ...
  • Bögl, Markus; Aigner, Wolfgang; Filzmoser, Peter; Gschwandtner, Theresia; Lammarsch, Tim; Miksch, Silvia; Rind, Alexander (The Eurographics Association, 2015)
    Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ...
  • MacEachren, Alan M. (The Eurographics Association, 2015)
    Uncertainty visualization research has a long history, with contributions from scientific, information, geo-graphic and other visualization perspectives as well as from cognitive and HCI perspectives. But we still do not ...
  • Steiger, Martin; Bernard, Jürgen; Schader, Philipp; Kohlhammer, Jörn (The Eurographics Association, 2015)
    In this paper, we present visual-interactive techniques for revealing relations between two co-existing multivariate feature spaces. Such data is generated, for example, by sensor networks characterized by a set of ...
  • Jäckle, Dominik; Senaratne, Hansi; Buchmüller, Juri; Keim, Daniel A. (The Eurographics Association, 2015)
    Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely ...
  • Chae, Junghoon; Cui, Yuchen; Jang, Yun; Wang, Guizhen; Malik, Abish; Ebert, David S. (The Eurographics Association, 2015)
    The rapid development and increasing availability of mobile communication and location acquisition technologies allow people to add location data to existing social networks so that people share location-embedded information. ...
  • Ruppert, Tobias; Bernard, Jürgen; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (The Eurographics Association, 2015)
    Political decision making involves the evaluation of alternative solutions (so called policy models) to a given societal problem and the selection of the most promising one. Large amounts of textual information to be ...
  • Perkins, Miriam; Grinstein, Georges (The Eurographics Association, 2015)
    The Centers for Medicare and Medicaid Services (CMS) has made public a data set showing what hospitals charged and what Medicare paid for the one hundred most common inpatient stays. By law payments approximate a hospital's ...
  • Silva, Renato R. O. da; Rauber, Paulo E.; Martins, Rafael M.; Minghim, Rosane; Telea, Alexandru C. (The Eurographics Association, 2015)
    Multidimensional projections (MPs) are key tools for the analysis of multidimensional data. MPs reduce data dimensionality while keeping the original distance structure in the low-dimensional output space, typically shown ...
  • Rauber, Paulo Eduardo; Silva, Renato Rodrigues Oliveira da; Feringa, Sander; Celebi, M. Emre; Falcão, Alexandre X.; Telea, Alexandru C. (The Eurographics Association, 2015)
    Feature selection is an important step in designing image classification systems. While many automatic feature selection methods exist, most of them are opaque to their users. We consider that users should be able to gain ...
  • Marai, G. Elisabeta (The Eurographics Association, 2015)
    Collaborative visual analytics that feature mixtures of spatial and nonspatial data occur across disciplines, and are particularly common in bioinformatics, neuroscience and geospatial analysis. In this work we analyze, ...
  • Krüger, Robert; Herr, Dominik; Haag, Florian; Ertl, Thomas (The Eurographics Association, 2015)
    Nowadays, tracking devices are small and cheap. For analysis tasks, there is no problem to obtain sufficient amounts of data. The challenge is how to make sense of the data, which often contain complex situations. Multiple ...
  • Boukhelifa, Nadia; Giannisakis, Emmanouil; Dimara, Evanthia; Willett, Wesley; Fekete, Jean-Daniel (The Eurographics Association, 2015)
    In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background ...
  • Roberts, Jonathan C.; Bertini, Enrico (Eurographics Association, 2015)