| Sherlock: A deep learning approach to semantic data type detection M Hulsebos, K Hu, M Bakker, E Zgraggen, A Satyanarayan, T Kraska, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 217 | 2019 |
| How progressive visualizations affect exploratory analysis E Zgraggen, A Galakatos, A Crotty, JD Fekete, T Kraska IEEE transactions on visualization and computer graphics 23 (8), 1977-1987, 2016 | 135 | 2016 |
| Democratizing data science through interactive curation of ml pipelines Z Shang, E Zgraggen, B Buratti, F Kossmann, P Eichmann, Y Chung, ... Proceedings of the 2019 international conference on management of data, 1171 …, 2019 | 115 | 2019 |
| Investigating the effect of the multiple comparisons problem in visual analysis E Zgraggen, Z Zhao, R Zeleznik, T Kraska Proceedings of the 2018 chi conference on human factors in computing systems …, 2018 | 114 | 2018 |
| Vizdom: interactive analytics through pen and touch A Crotty, A Galakatos, E Zgraggen, C Binnig, T Kraska Proceedings of the VLDB Endowment 8 (12), 2024-2027, 2015 | 113 | 2015 |
| Controlling false discoveries during interactive data exploration Z Zhao, L De Stefani, E Zgraggen, C Binnig, E Upfal, T Kraska Proceedings of the 2017 acm international conference on management of data …, 2017 | 96 | 2017 |
| Revisiting reuse for approximate query processing A Galakatos, A Crotty, E Zgraggen, C Binnig, T Kraska Proceedings of the VLDB Endowment 10 (10), 1142-1153, 2017 | 94 | 2017 |
| ARDA: automatic relational data augmentation for machine learning N Chepurko, R Marcus, E Zgraggen, RC Fernandez, T Kraska, D Karger arXiv preprint arXiv:2003.09758, 2020 | 89 | 2020 |
| VizNet: Towards a large-scale visualization learning and benchmarking repository K Hu, SNS Gaikwad, M Hulsebos, MA Bakker, E Zgraggen, C Hidalgo, ... Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 89 | 2019 |
| Idebench: A benchmark for interactive data exploration P Eichmann, E Zgraggen, C Binnig, T Kraska Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 65 | 2020 |
| Panoramicdata: Data analysis through pen & touch E Zgraggen, R Zeleznik, SM Drucker IEEE transactions on visualization and computer graphics 20 (12), 2112-2121, 2014 | 61 | 2014 |
| (s| qu) eries: Visual regular expressions for querying and exploring event sequences E Zgraggen, SM Drucker, D Fisher, R DeLine Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 59 | 2015 |
| The case for interactive data exploration accelerators (IDEAs) A Crotty, A Galakatos, E Zgraggen, C Binnig, T Kraska Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-6, 2016 | 53 | 2016 |
| Toward Sustainable Insights, or Why Polygamy is Bad for You. C Binnig, L De Stefani, T Kraska, E Upfal, E Zgraggen, Z Zhao CIDR, 2017 | 41 | 2017 |
| Towards a Benchmark for Interactive Data Exploration. P Eichmann, E Zgraggen, Z Zhao, C Binnig, T Kraska IEEE Data Eng. Bull. 39 (4), 50-61, 2016 | 27 | 2016 |
| Evaluating subjective accuracy in time series pattern-matching using human-annotated rankings P Eichmann, E Zgraggen Proceedings of the 20th International Conference on Intelligent User …, 2015 | 25 | 2015 |
| Towards interactive curation & automatic tuning of ml pipelines C Binnig, B Buratti, Y Chung, C Cousins, T Kraska, Z Shang, E Upfal, ... Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018 | 20 | 2018 |
| ProSecCo: Progressive sequence mining with convergence guarantees S Servan-Schreiber, M Riondato, E Zgraggen Knowledge and Information Systems 62 (4), 1313-1340, 2020 | 15 | 2020 |
| Towards Quantifying Uncertainty in Data Analysis & Exploration. Y Chung, S Servan-Schreiber, E Zgraggen, T Kraska IEEE Data Eng. Bull. 41 (3), 15-27, 2018 | 15 | 2018 |
| Tableur: Handwritten spreadsheets E Zgraggen, R Zeleznik, P Eichmann Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016 | 11 | 2016 |
