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Scalable and Interpretable Data Representation for High-Dimensional, Complex Data., , , и . AAAI, стр. 1763-1769. AAAI Press, (2015)Corporate learning at scale: lessons from a large online course at google., , , , , , и . L@S, стр. 187-188. ACM, (2014)Jury Learning: Integrating Dissenting Voices into Machine Learning Models., , , , , , и . CHI, стр. 115:1-115:19. ACM, (2022)Amplifying community content creation with mixed initiative information extraction., , , , , и . CHI, стр. 1849-1858. ACM, (2009)Lowering the barrier to applying machine learning.. CHI Extended Abstracts, стр. 2907-2910. ACM, (2010)Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization., , , , , , , , , и 1 other автор(ы). ICAC, стр. 89-100. IEEE Computer Society, (2005)Tempura: Query Analysis with Structural Templates., , , , и . CHI, стр. 1-12. ACM, (2020)The Future of Notebook Programming Is Fluid., , , , и . CHI Extended Abstracts, стр. 1-8. ACM, (2020)VoiceLabel: using speech to label mobile sensor data., , , , , , и . ICMI, стр. 69-76. ACM, (2008)mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks., , , , , и . UIST, стр. 140-151. ACM, (2020)