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Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers.

, , , , and . IEEE Trans. Vis. Comput. Graph., 23 (1): 61-70 (2017)

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Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers., , , , and . IEEE Trans. Vis. Comput. Graph., 23 (1): 61-70 (2017)ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems., , , , , , , , , and . CoRR, (2014)Interactive Semantic Featuring for Text Classification., , , , and . CoRR, (2016)ModelTracker: Redesigning Performance Analysis Tools for Machine Learning., , , , , and . CHI, page 337-346. ACM, (2015)AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning., , , , , , and . ACM Trans. Interact. Intell. Syst., 10 (1): 7:1-7:38 (2020)Using Machine Learning to Support Qualitative Coding in Social Science: Shifting the Focus to Ambiguity., , , , and . ACM Trans. Interact. Intell. Syst., 8 (2): 9:1-9:20 (2018)The Value of Semantic Parse Labeling for Knowledge Base Question Answering., , , , and . ACL (2), The Association for Computer Linguistics, (2016)The Label Complexity of Mixed-Initiative Classifier Training., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2800-2809. JMLR.org, (2016)Toward a more empathic relationship between humans and computing systems: an interview with HUE group's Mary Czerwinski, Jina Suh, and Gonzalo Ramos., , , , , and . XRDS, 28 (1): 48-53 (2021)Emerging Perspectives in Human-Centered Machine Learning., , , , , , , , and . CHI Extended Abstracts, ACM, (2019)