Yang, Fumeng, Ma, Yuxin, Harrison, Lane, Tompkin, James, and Laidlaw, David H. How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots. Retrieved from https://par.nsf.gov/biblio/10434736. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . Web. doi:10.1145/3544548.3581111.

Yang, Fumeng, Ma, Yuxin, Harrison, Lane, Tompkin, James, & Laidlaw, David H. How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, (). Retrieved from https://par.nsf.gov/biblio/10434736. https://doi.org/10.1145/3544548.3581111

Yang, Fumeng, Ma, Yuxin, Harrison, Lane, Tompkin, James, and Laidlaw, David H. "How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots". Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (). Country unknown/Code not available. https://doi.org/10.1145/3544548.3581111. https://par.nsf.gov/biblio/10434736.

@article{osti_10434736,
place = {Country unknown/Code not available}, title = {How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots}, url = {https://par.nsf.gov/biblio/10434736}, DOI = {10.1145/3544548.3581111}, abstractNote = {}, journal = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems}, author = {Yang, Fumeng and Ma, Yuxin and Harrison, Lane and Tompkin, James and Laidlaw, David H.}, }