Berlin / Cologne / Tuebingen / Brussels / New York / /
Company
Dow S. P. / Amazon / IEEE Press / Hess / Foldit Void Crushers Group / Foldit Contenders Group / /
Country
Germany / Belgium / United States / / /
Facility
Planck Institute / Optimization pipeline of Experiment / USA Max Planck Institute / Feedback David Engel Verena A. Kottler Christoph Malisi Massachusetts Institute of Technology Center / Germany University of Tuebingen Center / Germany Max Planck Institute / Plant Breeding Research / Plant Breeding Research Cologne / Schultheiss University of Tuebingen Center / /
IndustryTerm
Sketch recognition algorithms / clear applications / automatic sketch recognition systems / adaptive systems / machine vision systems / /
MarketIndex
set 260 / /
Organization
Massachusetts Institute of Technology Center for Collective Intelligence Cambridge / Tuebingen Center for Bioinformatics / School of Management / Tuebingen Center for Bioinformatics Tuebingen / Schultheiss University / National Science Foundation / Artificial Copyright Intelligence / USA Max Planck Institute for Developmental Biology Tuebingen / Germany Max Planck Institute for Plant Breeding Research Cologne / Planck Institute for Developmental Biology / Germany Max Planck Institute for Developmental Biology Tuebingen / Association for the Advancement / Massachusetts Institute of Technology / MIT Center / Germany Max Planck Institute for Plant Breeding Research / Germany University / MIT Center for Collective Intelligence Working Paper / /
Person
Marc Roettig Eva-Maria / David Engel / Verena A. Kottler Christoph Malisi / Eva-Maria Willing Sebastian / Sebastian J. Schultheiss / CHI EA / Duda / Hart / Eva-Maria Willing / /
Crowd-Sourcing Design: Sketch Minimization using Crowds for Feedback David Engel,a Verena A. Kottler,b Christoph Malisi,b Marc Roettig,c Eva-Maria Willing, d Sebastian J. Schultheiss, e MIT Center for Collective Intellig