Следене
David Dao
Заглавие
Позовавания
Позовавания
Година
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
2322019
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
1102016
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
1072019
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
812017
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
642018
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
332019
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
252015
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
232021
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
152019
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
15*2018
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
122021
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
82022
GeoLabels: Towards Efficient Ecosystem Monitoring using Data Programming on Geospatial Information
D Dao, J Rausch, C Zhang
Climate Change AI workshop, NeurIPS 2019, 2019
52019
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
42021
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
42021
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
32021
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
3*2020
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
22022
Automated Plausibility Analysis of Large Phylogenies
D Dao, T Flouris, A Stamatakis
Pattern Recognition in Computational Molecular Biology, 457--482, 2014
22014
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
12021
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