Get the BibTeX.
David Mascharka, Philip Tran, Ryan Soklaski, and Arjun Majumdar. “Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning.” In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June 2018.
Victor Pankratius, David Mascharka, Phil Erickson, Frank Lind, Anthea Coster, Michael Hirsch, John Swoboda, and Joshua Semeter. “Mahali: Mobile Phones and Cloud Computing in Space Weather and Beyond.” In American Meteorological Society Annual Conference, 14th Conference on Space Weather, Seattle, January 2017.
Anthea Coster, Victor Pankratius, Timothy Morin, Will Rogers, Frank Lind, Philip Erickson, David Mascharka, Don Hampton, and Joshua Semeter. “The Mahali Project: Deployment Experiences from a Field Campaign in Alaska.” Presented at Institute of Navigation: International Technical Meeting - GNSS in Environmentally Challenged Environments, Monterey, California, January 2016.
David Mascharka and Eric D. Manley. “LIPS: Learning Based Indoor Positioning System Using Mobile Phone-Based Sensors.” 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, January 2016.
Joel Venzke, David Mascharka, Paxten Johnson, Rachel Davis, Katie Roth, Leah Robison, Adina Kilpatrick, and Timothy Urness. “Utilizing Machine Learning to Accelerate Automated Assignment of Backbone NMR Data.” American Journal of Undergraduate Research, Volume 13, Edition 1, January 2016.
David Mascharka and Victor Pankratius. “Mobile Devices and GPU Parallelism in Ionospheric Data Processing.” Presented at American Geophysical Union, 46th Annual Fall Meeting, San Francisco, USA, December 2015. ID 62710, Session IN44A-06.
Joel Venzke, Paxten Johnson, Rachel Davis, Katie Roth, David Mascharka, and Leah Robison. “Accelerating Biomolecular Nuclear Magnetic Resonance Assignment with A*.” Midwest Instruction and Computing Symposium (MICS), Madison, USA, April 2014.
David Mascharka. “Cyborgs and Śūnyatā.” Episteme: Volume 29. May 2018.