{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T05:53:12Z","timestamp":1782280392971,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,5]],"date-time":"2019-07-05T00:00:00Z","timestamp":1562284800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["D3M"],"award-info":[{"award-number":["D3M"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,5]]},"DOI":"10.1145\/3328519.3329134","type":"proceedings-article","created":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T12:18:43Z","timestamp":1567081123000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":22,"title":["Visus"],"prefix":"10.1145","author":[{"given":"A\u00e9cio","family":"Santos","sequence":"first","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonia","family":"Castelo","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian","family":"Felix","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge Piazentin","family":"Ono","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowen","family":"Yu","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sungsoo Ray","family":"Hong","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cl\u00e1udio T.","family":"Silva","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enrico","family":"Bertini","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juliana","family":"Freire","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,5]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, and Remco Chang.","author":"Cashman Dylan","year":"2018","unstructured":"Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, and Remco Chang. 2018. Visual Analytics for Automated Model Discovery. CoRR abs\/1809.10782 (2018). arXiv:1809.10782 http:\/\/arxiv.org\/abs\/1809.10782"},{"key":"e_1_3_2_1_2_1","volume-title":"Emilia Kacprzak, and Paul T. Groth.","author":"Chapman Adriane","year":"2019","unstructured":"Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis Daniel Ib\u00e1\u00f1ez-Gonzalez, Emilia Kacprzak, and Paul T. Groth. 2019. Dataset search: a survey. CoRR abs\/1901.00735 (2019). arXiv:1901.00735 http:\/\/arxiv.org\/abs\/1901.00735"},{"key":"e_1_3_2_1_3_1","volume-title":"d.}. IBM Predicts Demand For Data Scientists Will Soar 28% By","author":"Columbus Louis","year":"2020","unstructured":"Louis Columbus. {n. d.}. IBM Predicts Demand For Data Scientists Will Soar 28% By 2020. https:\/\/www.forbes.com\/sites\/louiscolumbus\/2017\/05\/13\/ibm-predicts-demand-for-data-scientists-will-soar-28-by-2020\/."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of Machine Learning Research, ICML 2018 AutoML Workshop.","author":"Drori Iddo","year":"2018","unstructured":"Iddo Drori, Yamuna Krishnamurthy, Remi Rampin, Raoni Louren\u00e7o, Jorge Ono, Kyunghyun Cho, Claudio Silva, and Juliana Freire. 2018. AlphaD3M: Machine Learning Pipeline Synthesis. In Proceedings of Machine Learning Research, ICML 2018 AutoML Workshop."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Matthias Feurer Aaron Klein Katharina Eggensperger Jost Springenberg Manuel Blum and Frank Hutter. 2015. Efficient and robust automated machine learning. In Advances in neural information processing systems. 2962--2970.","DOI":"10.5555\/2969442.2969547"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302324"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of Machine Learning Research, ICML 2018 AutoML Workshop.","author":"Gil Yolanda","year":"2018","unstructured":"Yolanda Gil, Ke-Thia Yao, Varun Ratnakar, Daniel Garijo, Greg Ver Steeg, Rob Brekelmans, Mayank Kejriwal, Fanghao Luo, and I-De Huang. 2018. P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning. In Proceedings of Machine Learning Research, ICML 2018 AutoML Workshop."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157469"},{"key":"e_1_3_2_1_9_1","unstructured":"T. Hastie R. Tibshirani and J.H. Friedman. 2009. The Elements of Statistical Learning: Data Mining Inference and Prediction. Springer. https:\/\/books.google.com\/books?id=eBSgoAEACAAJ"},{"key":"e_1_3_2_1_10_1","volume-title":"Browser-based Statistical Interface for Data Repositories.","author":"Honaker James","unstructured":"James Honaker and Vito D'Orazio. 2014. Statistical Modeling by Gesture: A graphical, Browser-based Statistical Interface for Data Repositories.. In HT (Doctoral Consortium\/Late-breaking Results\/Workshops)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5"},{"key":"e_1_3_2_1_12_1","volume-title":"Institute Electrical, and Electronics Engineers","author":"Thomas J J","year":"2005","unstructured":"J J Thomas, K A Cook, Institute Electrical, and Electronics Engineers. 2005. Illuminating the path: The research and development agenda for visual analytics."},{"key":"e_1_3_2_1_13_1","unstructured":"Fei-Fei Li and Jia Li. {n. d.}. Cloud AutoML: Making AI accessible to every business. https:\/\/www.blog.google\/products\/google-cloud\/cloud-automl-making-ai-accessible-every-business\/."},{"key":"e_1_3_2_1_14_1","unstructured":"Microsoft. {n. d.}. Microsoft Azure Machine Learning Studio. https:\/\/studio.azureml.net\/."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864812"},{"key":"e_1_3_2_1_16_1","unstructured":"nyc-vision-zero {n. d.}. NYC Vision Zero. https:\/\/www1.nyc.gov\/site\/visionzero\/index.page."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2908812.2908918"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052660"},{"key":"e_1_3_2_1_19_1","volume-title":"A survey on measuring indirect discrimination in machine learning. CoRR abs\/1511.00148","author":"Zliobaite Indre","year":"2015","unstructured":"Indre Zliobaite. 2015. A survey on measuring indirect discrimination in machine learning. CoRR abs\/1511.00148 (2015). arXiv:1511.00148 http:\/\/arxiv.org\/abs\/1511.00148"}],"event":{"name":"SIGMOD\/PODS '19: International Conference on Management of Data","location":"Amsterdam Netherlands","acronym":"SIGMOD\/PODS '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the Workshop on Human-In-the-Loop Data Analytics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3328519.3329134","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3328519.3329134","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3328519.3329134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:40Z","timestamp":1750204420000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3328519.3329134"}},"subtitle":["An Interactive System for Automatic Machine Learning Model Building and Curation"],"short-title":[],"issued":{"date-parts":[[2019,7,5]]},"references-count":19,"alternative-id":["10.1145\/3328519.3329134","10.1145\/3328519"],"URL":"https:\/\/doi.org\/10.1145\/3328519.3329134","relation":{},"subject":[],"published":{"date-parts":[[2019,7,5]]},"assertion":[{"value":"2019-07-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}