David Dao

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Ce ZhangTogether AI; University of ChicagoVerifisert e-postadresse på together.xyz
Dawn SongProfessor of Computer Science, UC BerkeleyVerifisert e-postadresse på cs.berkeley.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerifisert e-postadresse på illinois.edu
Ruoxi JiaAssistant Professor, Virginia TechVerifisert e-postadresse på vt.edu
Frances Hubis ThomaGoogleVerifisert e-postadresse på google.com
Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyVerifisert e-postadresse på berkeley.edu
Björn LütjensPostdoc, Massachusetts Institute of TechnologyVerifisert e-postadresse på mit.edu
Anne E. CarpenterInstitute Scientist and Imaging Platform Director, Broad Institute of Harvard and MITVerifisert e-postadresse på broadinstitute.org
Jane HungUber, Massachusetts Institute of TechnologyVerifisert e-postadresse på mit.edu
Bojan KarlašHarvard UniversityVerifisert e-postadresse på mgh.harvard.edu
Wentao WuMicrosoft ResearchVerifisert e-postadresse på microsoft.com
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerifisert e-postadresse på servicenow.com
Shantanu SinghBroad Institute of MIT and HarvardVerifisert e-postadresse på broad.mit.edu
Holger HennigBroad Institute of Harvard and MIT, Cambridge, USAVerifisert e-postadresse på broadinstitute.org
Manuel CorpasUniversity of WestminsterVerifisert e-postadresse på westminster.ac.uk
Guy YachdavColumbia UniversityVerifisert e-postadresse på rostlab.org
Burkhard RostProfessor of Computer Science, Technical University MunichVerifisert e-postadresse på tum.de
Suzanna LewisLawrence Berkeley National LaboratoryVerifisert e-postadresse på lbl.gov
Nick PawlowskiSenior Researcher, Microsoft ResearchVerifisert e-postadresse på microsoft.com
Alexandros StamatakisFoundation for Research and Technology - Hellas, HITS gGmbH, KITVerifisert e-postadresse på ics.forth.gr

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David Dao

GainForest.Earth

Verifisert e-postadresse på gainforest.net - Startside

Machine Learning Data Marketplaces Game Theory Computational Sustainability Computational


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	523	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	258	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	148	2016
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	112	2018
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	110	2017
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	71	2021
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	66	2019
Geo-bench: Toward foundation models for earth monitoring A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ... Advances in Neural Information Processing Systems 36, 51080-51093, 2023	46	2023
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	34	2022
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	33	2022
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	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	30	2015
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	26	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	20*	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	18	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, ... Proceedings of Innovative Data Systems Research, 2021	9	2021
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	7	2021
Awful AI D Dao URL https://github. com/daviddao/awful-ai/releases/tag/v1. 0.0, 2021	7	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	6*	2020
GeoLabels: Towards Efficient Ecosystem Monitoring using Data Programming on Geospatial Information D Dao, J Rausch, C Zhang Climate Change AI workshop, NeurIPS 2019, 2019	6	2019

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