David Dao

Cited by

	All	Since 2016
Citations	268	265
h-index	8	7
i10-index	6	6

140

105

20162017201820192020202111 20 34 72 122 4

Co-authors

Ce ZhangETH ZurichVerified email at inf.ethz.ch
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Anne E. CarpenterInstitute Scientist and Imaging Platform Director, Broad Institute of Harvard and MITVerified email at broadinstitute.org
Jane HungUber, Massachusetts Institute of TechnologyVerified email at mit.edu
Ruoxi JiaAssistant Professor, Virginia TechVerified email at vt.edu
Frances HubisETH ZürichVerified email at student.ethz.ch
Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyVerified email at berkeley.edu
Nick HynesUC Berkeley, Oasis LabsVerified email at berkeley.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Shantanu SinghSenior Group Leader, Broad Institute of MIT and HarvardVerified email at broad.mit.edu
Holger HennigBroad Institute of Harvard and MIT, Cambridge, USAVerified email at broadinstitute.org
Manuel CorpasCambridge Precision MedicineVerified email at cpm.onl
Guy YachdavColumbia UniversityVerified email at rostlab.org
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at in.tum.de
Suzanna LewisLawrence Berkeley National LaboratoryVerified email at lbl.gov
Nick PawlowskiPhD Student, Imperial College LondonVerified email at ic.ac.uk
Alexandros StamatakisHeidelberg Institute for Theoretical Studies and Karlsruhe Institute of TechnologyVerified email at h-its.org

David Dao

ETH Zurich

Verified email at inf.ethz.ch - Homepage

Machine Learning Game Theory Data Markets Computational Sustainability Bioinformatics


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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	80	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	52	2017
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	47	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	25	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	19	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	19	2015
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	9*	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, 3-23, 2019	8	2019
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	5	2019
GeoLabels: Towards Efficient Ecosystem Monitoring using Data Programming on Geospatial Information D Dao, J Rausch, C Zhang Climate Change AI workshop, NeurIPS 2019, 2019	2	2019
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	1*	2020
Automated Plausibility Analysis of Large Phylogenies D Dao, T Flouris, A Stamatakis Pattern Recognition in Computational Molecular Biology, 457--482, 2014	1	2014
Ease. ML: A Lifecycle Management System for Machine Learning L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ...		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		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, ...		2019
Image-based chemical-genetic profiling using Deep Neural Networks D Dao http://daviddao.org/papers/mscthesis_2016.pdf, 2016		2016

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