Our Favorite Articles

Table of Contents
1. "Inclusion Impact Index" (2020)
2. "Aligning Learning with Life Outcomes through Naturalistic Assessment" Bumbachar, Ming, & Ming (2019)
3. "The State of LGBT Entrepreneurship in the US" Deutsh, Shea, Ming, & Sinton, StartOut (2016)
4. "Leading a meaningful life at older ages and its relationship with social engagement, prosperity, health, biology, and time use" Steptoe & Fancourt, PNAS (2019)
5. "Life skills, wealth, health, and wellbeing in later life" Steptoe & Wardle, PNAS (2017)
6. "Reducing Implicit Racial Preferences: I. A Comparative Investigation of 17 Interventions" Lai, Skinner, Cooley et. al., Journal of Experimental Psychology (2014)
7. "Reducing Implicit Racial Preferences: II. Intervention Effectiveness Across Time" Lai, Skinner, Cooley et. al., Journal of Experimental Psychology (2016)
8. "Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market" Salganik, Dodds, Watt et. al., Science Magazine (2006)
9. "Visualizing Topics, Time, and Grades in Online Class Discussions" Vivienne Ming & Norma Ming, 10th International Conference on Computer Supported Collaborative Learning (2013)
10. "Faculty Tools for Visualizing Online Class Discussions" Vivienne Ming & Norma Ming, AERA (2013)
11. "Heirarchical coding of natural signals in a dynamical system model" Bumbacher & Ming, CoSyne (2012)
12. "Pitch-sensitive Components Emerge from Hierarchical Sparse Coding of Natural Sounds" Bumbacher & Ming, Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (2012)
13. "Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus" Carlson, Ming & DeWeese, PLoS CompBio (2012)
14. "Predicting student outcomes from unstructured data" Vivienne Ming & Norma Ming, UMAP Workshops (2012)
15. "Automated predictive assessment from unstructured student writing" Vivienne Ming & Norma Ming, The First International Conference on Data Analytics (2012)
16. "Modeling student conceptual knowledge from unstructured data using a hierarchical generative model" Vivienne Ming & Norma Ming, NeurIPS: Personalizing Education With Machine Learning (2012)
17. "A Sparse Representation of Speech Data" Carlson, Ming & DeWeese, Sensory Coding & the Natural Environment, Gordon Research Conference (2010)
18. "Efficient coding in human auditory perception" Ming & Holt, The Journal of the Acoustical Society of America (2009)
19. "A sparse subspace model of higher-level sound structure" Wang, Olshausen & Ming, CoSyne (2008)
20. "Cross-linguistic evidence of adaptation of speech statistics to the mammalian auditory code" Ming & Lewicki, Computational Cognitive Neuroscience (2007)
21. "Evidence of efficient coding in human speech perception" Ming & Holt, JASA (2007)
22. "Learning invariant structure in speech sounds using subspace sparse coding" Ming & Wang, Computational Cognitive Neuroscience (2007)
23. "The spectrotemporal density components of speech" Vivienne Ming, Computational Cognitive Neuroscience (2007)
24. "A theoretical model of cochlear processing improves simulated cochlear implant hearing" Smith & Holt, Annual Meeting of the Acoustical Society of America (2006)
25. "A theoretical model of cochlear processing improves spectrally-degraded speech perception" Smith & Holt, JASA (2006)
26. "Efficient auditory coding" Smith & Lewicki, Nature (2006)
27. "Learning efficient auditory codes using spikes predicts cochlear filters" Smith & Lewicki, Advances in Neural Information Processing Systems 17 (2005)
28. "Efficient coding of time-relative structure in natural sounds using spikes" Smith & Lewicki, Neural Computation (2005)
29. "Efficient coding of acoustic structure with spike times" Smith & Lewicki, Computational and Systems Neuroscience Conference (2004)
30. "Spike codes using populations of stochastic units" Smith & Lewicki, Gordon Conference on Sensory Coding and the Natural Environment (2004)
31. "An approach to automatic recognition of spontaneous facial actions" Bartlet, Braathen, Littlewort, Smith & Movellan, Advances in Neural Information Processing Systems 15 (2003)
32. "An approach to automatic recognition of spontaneous facial actions" Bartlet, Braathen, Littlewort, Smith & Movellan, Conference on Face and Gesture Recognition (2002)
33. "Computer recognition of facial actions: A study of co-articulation effects" Smith, Bartlet & Movellan, Proceedings of the 8th Symposium on Neural Computation (2001)
34. "Tip-of-the-Tongue incidence in Spanish-English and Tagalog-English Bilingual" Golan, Acenas, & Smith, 3rd International Symposium on Bilingualism (2001)
35. "How AI Can Be a Powerful Tool in the Fight Against Climate Change"

People think that being a scienist is all deep thoughts and social awkwardness. In rreality, science is 80% comminications (and 30% budgets and 11% statistics). Over the years I've coauthored a number of research papers and a few working papers. I've written the occational poicy brief and been invited to pen a cple of opion pieces. This is the section to find all of those past articles and keep up with new ones.

This is also the section where I admit, "Shit, I wish I'd thought of that." It's the outside papers I cite most heavily and have had the biggest influence on my thinking, Browse through my favorites and I'll work with one of the start-ups I'm advising, Re:Collect, to add a truly unique search interface some time in the future.

Table of Contents