Publications from the HDC Lab

2017

Julien Tierny, Guillaume Favelier, Joshua Levine, Charles Gueunet, Michael Michaux. The Topology ToolKit. Accepted to IEEE SciVis 2017, IEEE TVCG, to appear. PDF

2016

Zhe Wang, Nivan Ferreira, Youhao Wei, Aarthy Bhaskar, Carlos Scheidegger. Gaussian Cubes: Real-Time Modeling for Visual Exploration of Large Multidimensional Datasets. Presented at InfoVis 2016, published at IEEE TVCG 23(1)681-690, 2017. PDF

Cicero Pahins, Sean S. Stephens, Carlos Scheidegger, Joao Comba. Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data. Presented at InfoVis 2016, published at IEEE TVCG 23(1)671-680, 2017. PDF

Bahador Saket, Carlos Scheidegger, and Stephen G. Kobourov. Comparing Node-Link and Node-Link-Group Visualizations From An Enjoyment Perspective. EuroVis 2016. PDF

2015

Paolo Simonetto, Daniel Archambault, Carlos Scheidegger. A Simple Approach for Boundary Improvement of Euler Diagrams. presented at InfoVis 2015, published at IEEE TVCG 22(1)678–687, 2016. PDF

Gordon Woodhull, Simon Urbanek, Stephen North, Carlos Scheidegger. Collaborative Visual Analysis on the Web with RCloud. IEEE VAST 2015. PDF

Michael Feldman, Sorelle Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian. Certifying and Removing Disparate Impact. ACM KDD 2015. PDF, arxiv

Bahador Saket, Carlos Scheidegger, and Stephen G. Kobourov. Towards Understanding Enjoyment and Flow in Information Visualization. EuroVis 2015 (short paper). PDF

Bahador Saket, Carlos Scheidegger, Stephen G. Kobourov, and Katy Börner. Map-based Visualizations Increase Recall Accuracy of Data. Eurovis 2015. PDF, supplemental material, data

2014

Gordon Kindlmann and Carlos Scheidegger. An Algebraic Process for Visualization Design. TVCG 2014, honorable mention for best paper award at InfoVis 2014. PDF