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Chromatic Structure and Family Resemblance in Large Art Collections - Exemplary Quantification and Visualizations.

, , , , and . DH, page 679. Red de Humanidades Digitales A. C., (2018)

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Chromatic Structure and Family Resemblance in Large Art Collections - Exemplary Quantification and Visualizations., , , , and . DH, page 679. Red de Humanidades Digitales A. C., (2018)SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search., , , , , , , and . EMNLP (Demos), page 135-143. Association for Computational Linguistics, (2020)Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms., , and . EDM, International Educational Data Mining Society, (2020)Improved adaptation in exogenously and endogenously changing environments., , , , , and . ECAL, page 306-313. MIT Press, (2017)Stem-ming the Tide: Predicting STEM attrition using student transcript data., , , , , and . CoRR, (2017)Predicting Student Dropout in Higher Education., , , and . CoRR, (2016)Theory Identity: A Machine-Learning Approach., , , , , , , , and . HICSS, page 4639-4648. IEEE Computer Society, (2014)Curation and policy issues in collaborative research data management communities: Perspectives from key stakeholders., , , , , , and . ASIST, volume 51 of Proc. Assoc. Inf. Sci. Technol., page 1-4. Wiley, (2014)Mining University Registrar Records to Predict First-Year Undergraduate Attrition., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact., , , and . CoRR, (2020)