| Towards Efficient Data Valuation Based on the Shapley Value R Jia*, D Dao*, B Wang, FA Hubis, M Gurel, N Hynes, B Li, C Zhang, ... AISTATS, 2019 | 297 | 2019 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, CJ Spanos, ... VLDB, 2019 | 147 | 2019 |
| CellProfiler Analyst: interactive data exploration, analysis, and classification of large biological image sets D Dao, AN Fraser, J Hung, V Ljosa, S Singh, AE Carpenter Bioinformatics, 057976, 2016 | 122 | 2016 |
| An open-source solution for advanced imaging flow cytometry data analysis using machine learning H Hennig, P Rees, T Blasi, L Kamentsky, J Hung, D Dao, AE Carpenter, ... Methods 112, 201-210, 2017 | 86 | 2017 |
| A demonstration of sterling: a privacy-preserving data marketplace N Hynes, D Dao, D Yan, R Cheng, D Song Proceedings of the VLDB Endowment 11 (12), 2086-2089, 2018 | 82 | 2018 |
| Data capsule: A new paradigm for automatic compliance with data privacy regulations L Wang, JP Near, N Somani, P Gao, A Low, D Dao, D Song Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2019 | 41 | 2019 |
| Scalability vs. utility: Do we have to sacrifice one for the other in data importance quantification? R Jia, F Wu, X Sun, J Xu, D Dao, B Kailkhura, C Zhang, B Li, D Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| Anatomy of BioJS, an open source community for the life sciences G Yachdav, T Goldberg, S Wilzbach, D Dao, I Shih, S Choudhary, ... Elife 4, e07009, 2015 | 27 | 2015 |
| Data debugging with shapley importance over end-to-end machine learning pipelines B Karlaš, D Dao, M Interlandi, B Li, S Schelter, W Wu, C Zhang arXiv preprint arXiv:2204.11131, 2022 | 19 | 2022 |
| Ease. ml: a lifecycle management system for machine learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... Proceedings of the Annual Conference on Innovative Data Systems Research …, 2021 | 18 | 2021 |
| DataBright: A Data Curation Platform for Machine Learning based on Markets and Trusted Computation D Dao, D Alistarh, C Musat, C Zhang ICML Workshop: Game-Theoretic Mechanisms for Data and Information, 2018 | 18* | 2018 |
| GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery D Dao, C Cang, C Fung, M Zhang, N Pawlowski, R Gonzales, N Beglinger, ... ICML Climate Change AI workshop, 2019 | 16 | 2019 |
| Toward foundation models for earth monitoring: Proposal for a climate change benchmark A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ... arXiv preprint arXiv:2112.00570, 2021 | 11 | 2021 |
| ReforesTree: A dataset for estimating tropical forest carbon stock with deep learning and aerial imagery G Reiersen, D Dao, B Lütjens, K Klemmer, K Amara, A Steinegger, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12119 …, 2022 | 6 | 2022 |
| GeoLabels: Towards Efficient Ecosystem Monitoring using Data Programming on Geospatial Information D Dao, J Rausch, C Zhang Climate Change AI workshop, NeurIPS 2019, 2019 | 5 | 2019 |
| Ease. ML: A lifecycle management system for MLDev and MLOps L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ... Proc. of Innovative Data Systems Research, 2021 | 4 | 2021 |
| TrueBranch: Robust Deep Learning-Based Verification of Forest Conservation Projects S Santamaria*, D Dao*, B Lütjens*, C Zhang Climate Change AI workshop, ICLR'20, 2020 | 4* | 2020 |
| Tackling the overestimation of forest carbon with deep learning and aerial imagery G Reiersen, D Dao, B Lütjens, K Klemmer, X Zhu, C Zhang arXiv preprint arXiv:2107.11320, 2021 | 3 | 2021 |
| RumbleML: program the lakehouse with JSONiq G Fourny, D Dao, CB Cikis, C Zhang, G Alonso arXiv preprint arXiv:2112.12638, 2021 | 1 | 2021 |
| Challenges in KDD and ML for Sustainable Development L Berti-Equille, D Dao, S Ermon, B Goswami Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 1 | 2021 |
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