David Dao
Cited by
Cited by
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
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, ...
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
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
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
Cutting edge: 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
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, 3-23, 2019
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
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
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
GeoLabels: Towards Efficient Ecosystem Monitoring using Data Programming on Geospatial Information
D Dao, J Rausch, C Zhang
Climate Change AI workshop, NeurIPS 2019, 2019
Ease. ML: A Lifecycle Management System for Machine Learning
L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ...
11th Annual Conference on Innovative Data Systems Research (CIDR 2021)(virtual), 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
Automated Plausibility Analysis of Large Phylogenies
D Dao, T Flouris, A Stamatakis
Pattern Recognition in Computational Molecular Biology, 457--482, 2014
GainForest Whitepaper
D Dao
GainForest.app, 2020
Xingu: Explaining Critical Geospatial Predictions in Weak Supervision for Climate Finance
D Dao, J Rausch, I Rott, C Zhang
Climate Change AI workshop, ICLR'20, 2020
Supplementary Material: Towards Efficient Data Valuation Based on the Shapley Value
R Jia*, D Dao*, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ...
Image-based chemical-genetic profiling using Deep Neural Networks
D Dao
Master thesis, 2016
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