Computer-aided mind map generation via crowdsourcing and machine learning

Author:

Camburn BradleyORCID,Arlitt Ryan,Anderson David,Sanaei Roozbeh,Raviselam Sujithra,Jensen Daniel,Wood Kristin L.

Funder

Singapore University of Technology and Design

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Architecture,Civil and Structural Engineering

Reference46 articles.

1. Anderson M, Onvechi J, Yamazaki T, Wood K, Jensen D (2017) Mind map for biologically inspired covert visual systems: a pilot study. In: Proceedings of the SW regional ASEE conference

2. Anderson M, Onyechi J, Yamazaki T, Wood K, Jensen D (2017) Mind map for biologically inspired covert visual systems: a pilot study. In proceedings of the SW regional ASEE conference.

3. Anderson D, Perez KB, Xuereb Z, Otto K, Wood K (2018) Design processes of design automation practitioners. In: ASME 2018 International Design Engineering Technical Conferences And Computers And Information In Engineering conference, American Society of Mechanical Engineers, p V007T06A024–V007T06A024

4. Baer J, McKool SS (2009) Assessing creativity using the consensual assessment technique. In: Handbook of research on assessment technologies, methods, and applications in higher education, IGI Global, pp 65–77

5. Buzan T (2006) Mind map: the ultimate thinking tool. HarperCollins Publishers Limited, New York

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